Real Estate Sales Jobs in Jordan

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $50 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description<\/h4>\n<p>Please submit your CV in English and indicate your level of English proficiency.<\/p>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n<li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n<li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n<li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n<li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is not<\/h4>\n<ul>\n<li>Not data labeling<\/li>\n<li>Not prompt engineering<\/li>\n<li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for<\/h4>\n<ul>\n<li>5+ years in software development<\/li>\n<li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n<li>Experience writing tests (functional, integration)<\/li>\n<li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p>\n<h4>Compensation<\/h4>\n<p>Up to $40\/hr equivalent, depending on level and pace. Tasks are estimated at ~20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p>Main Objective of the Position u200b Our mission is to Simplify Life. avertra helps highly regulated, customer-centric industries, led by utilities and energy, deliver exceptional experiences through our MiCustomer platform and digital services. This is a hybrid growth role for someone who is equal parts relationship builder, analyst, and problem solver. You will grow client and partner relationships, represent avertra and MiCustomer in the market, and, just as importantly, dig into customer data to find the insight that drives the next opportunity, for the client and for our own product and growth teams. It is the kind of role that suits a consulting or industrial-engineering mind that also loves being in front of people. We are hiring more than one, and everyone starts broad, across accounts, client relationships, partnerships, and our MiCustomer User Group (MUG), so we can see where each person shines before specializing. You will begin by carrying conversations, extracting insight, and following up independently on live accounts. Within your second year, the path leads to owning accounts and pursuits end to end. Because these relationships are largely with US clients, a flexible schedule with some evening overlap is part of the rhythm. You can work US hours if you prefer, or split your day in a way that keeps you present for the meetings that matter.</p><p><b><br></b></p><p><b>Main Job Responsibilities</b></p><ul><li>Accounts &amp; Growth Planning: Research assigned accounts and their industry context, map stakeholders, and identify whitespace and expansion opportunities. Contribute to and, over time, own account plans that connect client goals to avertra's capabilities.</li><li>Client Relationships &amp; Discovery: Build, maintain, and grow assigned relationships across our community, carrying the conversation and following up independently. Run discovery that goes beyond surface answers, surfacing the goals, constraints, and friction that reveal where we can help.</li><li>Customer Data &amp; Insight: Analyze usage and adoption data to spot patterns, risks, and expansion signals across accounts. Translate what you find into clear, actionable insight, both for the client and as voice-of-customer input to product and growth.</li><li>Pre-Sales &amp; Solutioning: Support pursuits with a product-owner mindset, shaping the right solution to a client's need alongside product and engineering. Articulate the value of the MiCustomer platform (MiPortal, MiAgent, MiComm) in terms the client's decision-makers care about.</li><li>MiCustomer User Group (MUG): Onboard new members, drive engagement and follow-ups, and contribute to planning and content, turning the community into insight and advocacy.</li><li>Events &amp; Process: Represent avertra and MiCustomer at conferences and sessions, on-site and virtual, and own the client follow-ups that come out of them. Design repeatable growth processes, templates, and lightweight tooling that make the whole team faster and sharper, and measure the impact.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Genuinely Curious: You ask the question behind the question, and you know how to turn curiosity into insight that others walk past.</li><li>Value Articulator: You connect what we do to the outcomes a client actually cares about, in plain, compelling language, without hiding behind feature lists.</li><li>Relationship Builder: You bring warmth and energy that make clients want to keep talking to you. In a client-facing role, presence is not optional.</li><li>Analytical: You are comfortable in usage and adoption data, and you can separate signal from noise to find a real opportunity.</li><li>Process-Minded: You see a better way to run things and you design it, an industrial-engineering instinct applied to how growth actually gets done.</li><li>Product-Owner Mindset: In a pre-sales moment you translate a client's real need into a feasible, valuable solution, partnering naturally with product and engineering.</li><li>Knowledge, Skills and Abilities: Strong process design: you can map how work is done and redesign it for speed and quality. Pre-sales and product-owner mindset: you translate client needs into feasible, valuable solutions. Advanced data analytics: you can analyze customer usage and adoption data and turn it into insight for product and growth. Excellent client engagement, discovery, and relationship-building skills, with an engaging, high-energy presence. Strong spoken and written English for US clients</li><li>Education: Bachelor's degree in business, marketing, MIS, engineering, or a related field.</li><li>Experience: Around 2 to 4 years of experience. Exceptional candidates with more experience are welcome. Any external, client-facing experience is required. Experience in customer success or customer relationships, B2B or product marketing, market research, voice-of-customer, or project management is a strong plus.</li><li>Preferences: Background from a top-tier consulting firm (The big 4). Comfort with AI tools (for example Claude Code) is a plus, not a must.</li></ul>

<p><h4>About the internship</h4> <p>We are looking for a creative and passionate game artist intern to join our team! As an intern, you will have the opportunity to work on exciting projects, contributing to the creation of in-game art, UI assets, and marketing materials. You'll gain hands-on experience and collaborate with talented professionals while learning about the mobile gaming industry's art production pipeline.</p> <p>We're looking for a game artist intern to join our creative department and grow into a versatile, multi-surface artist. You'll work alongside our game artists, marketing artists, and brand designer on real shipping work across our game portfolio UI screens, localization assets, in-game promos, and brand support.</p> <p>This internship is built for someone with strong design fundamentals, a curious eye, and the discipline to learn fast across very different visual languages. You won't be doing busywork—you'll be shipping assets that players actually see, with mentorship from the team.</p> <h4>What you'll do:</h4> <li>Assist on in-game assets across multiple titles: UI elements, icons, illustrations, event art, and in-game social assets, under the guidance of game artist.</li> <li>Get exposure to diverse visual languages - stylized casual, anime MMORPG, medieval SLG, and traditional card-game aesthetics.</li> <li>Contribute to mood boards, references, and visual exploration during feature pre-production.</li> <li>Support Arabic adaptation passes: RTL layout adjustments, Arabic typography, and text-in-image localization.</li> <li>Build a strong eye for what reads as authentically Arabic vs. mechanically translated.</li> <li>Help produce promotional art for LiveOps events, seasonal moments (Ramadan, Eid, National Day), and feature launches.</li> <li>Assist the brand designer on pitch decks, event identity, social-media assets, and internal comms visuals.</li> <li>Learn to apply brand guidelines consistently across touchpoints.</li> <h4>What you'll need:</h4> <li>A portfolio showcasing your artistic skills and passion for art (academic or personal projects).</li> <li>AI fluency is required, not optional - you should already be using AI image, ideation, or workflow tools in your practice and able to show examples of how they've sharpened your output.</li> <li>Curiosity, a high taste bar, and the ability to take feedback without ego.</li> <li>Familiarity with design tools such as Photoshop, Illustrator, or similar software.</li> <li>Basic understanding of visual design principles like color theory, composition, and layout.</li> <li>Familiarity with mobile games and a passion for gaming.</li> <h4>Why join Tamatem</h4> <li>Ship real assets seen by millions of players across MENA - not internship busywork.</li> <li>Learn from a senior, multidisciplinary creative team in a department where craft and AI fluency are equally valued.</li> <li>Grow into a game artist role with real ownership across game art, UI/UX, localization, and brand.</li></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation Up to $40/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<p><h4>Please submit your CV in English and indicate your level of English proficiency.<\/h4>\n<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<\/p>\n<h4>What this opportunity involves:<\/h4>\n<p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<\/p>\n<p>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<\/p>\n<ul>\n <li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history<\/li>\n <li>Design tasks from intermediate states of these environments - craft the prompt, define what \"solved\" means, and ensure the task is solvable by an AI agent<\/li>\n <li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient<\/li>\n <li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<\/li>\n<\/ul>\n<h4>What this is NOT:<\/h4>\n<ul>\n <li>Not data labeling<\/li>\n <li>Not prompt engineering<\/li>\n <li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate<\/li>\n<\/ul>\n<h4>What we look for:<\/h4>\n<ul>\n <li>8+ years in software development<\/li>\n <li>Core stack: Python (FastAPI), JavaScript\/TypeScript (React), Docker, Postgres, Kafka, Redis<\/li>\n <li>Experience writing tests (functional, integration)<\/li>\n <li>English proficiency - B2+<\/li>\n<\/ul>\n<h4>Why this is hard:<\/h4>\n<p>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<\/p>\n<h4>How it works<\/h4>\n<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid<\/p>\n<h4>Effort estimate<\/h4>\n<p>Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<\/p><\/p><p><\/p>

<p><h4>About Jeeny</h4> <p>In 2014, a joint venture between iMENA Group and Rocket Internet was created to address the issues of fragmentation and inefficiency that were facing the Jordanian and Saudi taxi markets. Using technology to consolidate the market and build a ride-hailing service provider in Jordan and Saudi Arabia was the solution that they came up with.</p> <p>When iMENA was introduced to the idea of a ride-hailing solution, it saw the opportunity of transforming the transportation industry with a disruptive business model. iMENA started with Jeeny (EasyTaxi at the time) early on as strategic partners; it joined forces and collaborated on optimizing marketing and operations, and worked with the authorities to shape the industry’s regulatory framework.</p> <p>Jeeny hit the market with a vision of making people’s everyday lives easier by providing a simple innovative solution to a real problem. All the while, Jeeny has had a tremendous economic impact on the drivers who make the service possible, amplifying the network effect of the model and propelling the service towards scalability and growth.</p> <p>Today, Jeeny has evolved beyond ride-hailing to become a comprehensive on-demand logistics marketplace with a large fleet of private car and taxi cab drivers in its key markets. Whether it’s food, groceries, or business correspondence that people need to move around town, Jeeny is the go-to name in Jordan and Saudi Arabia.</p> <p>We have offices in Riyadh, Jeddah, Madinah, Amman, Lahore & Karachi.</p> <h4>Program Overview</h4> <p>Are you ready to accelerate your career and solve real-world problems from day one?</p> <p>The Jeeny Graduate Trainee Program 2026 is designed for ambitious graduates who want to grow into the next generation of leaders at Jeeny.</p> <p>This program offers direct exposure to senior leadership, high-impact business challenges, and fast-track learning opportunities across key functions of the business.</p> <p>If you're curious, analytical, and ready to take ownership early in your career, this program will give you the platform to grow.</p> <p><strong>Application deadline:</strong> July 18, 2026. We recommend applying early as applications may close once we receive sufficient interest.</p> <p>Over a 6-month rotation, you will work on real business challenges across multiple teams while collaborating closely with senior leaders and decision-makers.</p> <p>You will gain experience in areas such as:</p> <ul> <li><strong>Commercial (Growth & Pricing)</strong><br>Design data-driven strategies to improve driver and passenger engagement while strengthening customer loyalty. Analyze market data and optimize pricing strategies to maximize marketplace efficiency and revenue.</li> <li><strong>Product</strong><br>Collaborate with product and engineering teams to identify user problems, design solutions, and help bring impactful features to life.</li> <li><strong>Business Finance</strong><br>Work with financial and operational data to support strategic decision-making and improve business efficiency.</li> <li><strong>Performance Marketing</strong><br>Monetization engine of Jeeny where you’ll manage in-app advertising campaigns and analyze marketing analytics to optimize campaign performance and drive revenue growth.</li> </ul> <p>Throughout the program, you will work closely with cross-functional teams and senior leaders to drive meaningful business outcomes.</p> <h4>What You Will Do</h4> <p>As part of the program, you will take ownership of real business challenges and contribute directly to strategic initiatives.</p> <p>Your responsibilities may include:</p> <ul> <li>Analyzing complex datasets to identify insights and recommend data-driven solutions</li> <li>Designing and implementing strategies to improve business performance</li> <li>Supporting key business projects that impact drivers, passengers, and marketplace growth</li> <li>Conducting market and competitive research to identify opportunities</li> <li>Developing new processes and frameworks to improve operational efficiency</li> <li>Running experiments and pilot initiatives to test new ideas</li> <li>Collaborating with cross-functional teams including product, finance, marketing, and operations</li> <li>Contributing to strategic discussions and initiatives alongside senior leadership</li> </ul> <p>This is a hands-on role where your ideas, insights, and ownership can create real impact from day one.</p> <h4>Requirements</h4> <p>We are looking for graduates who are analytical, curious, and driven to solve complex problems.</p> <ul> <li>Bachelor’s degree from an accredited university (graduating by August 2026)</li> <li>Strong analytical and problem-solving skills</li> <li>Familiarity with analytical tools such as Python, R, SQL, or similar</li> <li>Proficiency in statistical analysis and data interpretation</li> <li>Strong communication and collaboration skills</li> <li>Ability to work in fast-paced and evolving environments</li> <li>Curiosity, initiative, and willingness to challenge the status quo</li> <li>A collaborative mindset and passion for building impact solutions</li> </ul> <h4>Application Process</h4> <p>Once you submit your application, shortlisted candidates will go through the following stages:</p> <ul> <li>Application review</li> <li>Case study assessment</li> <li>Interviews</li> <li>Final selection</li> </ul> <p>During the process, we will evaluate your problem-solving ability, analytical thinking, and motivation to contribute to Jeeny’s mission.</p> <h4>Benefits</h4> <ul> <li>An opportunity to collaborate with talented individuals while learning, growing, and expanding your skill set</li> <li>An environment that encourages you to take ownership and produce excellent outcomes every day</li> <li>Health benefits and life insurance</li> <li>Hybrid work model</li> <li>Flexible working hours</li> <li>Monthly codes to commute freely</li> </ul> <h4>Start Your Leadership Journey</h4> <p>If you are ready to learn fast, take ownership, and grow alongside experienced leaders, we encourage you to apply.</p> <p>Join us in building the future of mobility.</p> <p>Apply now to the Jeeny Graduate Trainee Program 2026.</p> <h4>Why Join Jeeny?</h4> <ul> <li>Be part of one of the leading mobility platforms in the region.</li> <li>Work in a dynamic and collaborative environment.</li> <li>Opportunity to lead impactful finance initiatives and process improvements.</li> <li>Career growth and professional development opportunities.</li> </ul></p><p></p>

<p><h4>About Jeeny</h4> <p>In 2014, a joint venture between iMENA Group and Rocket Internet was created to address the issues of fragmentation and inefficiency that were facing the Jordanian and Saudi taxi markets. Using technology to consolidate the market and build a ride-hailing service provider in Jordan and Saudi Arabia was the solution that they came up with.</p> <p>When iMENA was introduced to the idea of a ride-hailing solution, it saw the opportunity of transforming the transportation industry with a disruptive business model. iMENA started with Jeeny (EasyTaxi at the time) early on as strategic partners; it joined forces and collaborated on optimizing marketing and operations, and worked with the authorities to shape the industry’s regulatory framework.</p> <p>Jeeny hit the market with a vision of making people’s everyday lives easier by providing a simple innovative solution to a real problem. All the while, Jeeny has had a tremendous economic impact on the drivers who make the service possible, amplifying the network effect of the model and propelling the service towards scalability and growth.</p> <p>Today, Jeeny has evolved beyond ride-hailing to become a comprehensive on-demand logistics marketplace with a large fleet of private car and taxi cab drivers in its key markets. Whether it’s food, groceries, or business correspondence that people need to move around town, Jeeny is the go-to name in Jordan and Saudi Arabia.</p> <p>We have offices in Riyadh, Jeddah, Madinah, Amman, Lahore & Karachi.</p> <h4>Program Overview</h4> <p>Are you ready to accelerate your career and solve real-world problems from day one?</p> <p>The Jeeny Graduate Trainee Program 2026 is designed for ambitious graduates who want to grow into the next generation of leaders at Jeeny.</p> <p>This program offers direct exposure to senior leadership, high-impact business challenges, and fast-track learning opportunities across key functions of the business.</p> <p>If you're curious, analytical, and ready to take ownership early in your career, this program will give you the platform to grow.</p> <p><strong>Application deadline:</strong> July 18, 2026. We recommend applying early as applications may close once we receive sufficient interest.</p> <p>Over a 6-month rotation, you will work on real business challenges across multiple teams while collaborating closely with senior leaders and decision-makers.</p> <p>You will gain experience in areas such as:</p> <ul> <li><strong>Commercial (Growth & Pricing)</strong><br>Design data-driven strategies to improve driver and passenger engagement while strengthening customer loyalty. Analyze market data and optimize pricing strategies to maximize marketplace efficiency and revenue.</li> <li><strong>Product</strong><br>Collaborate with product and engineering teams to identify user problems, design solutions, and help bring impactful features to life.</li> <li><strong>Business Finance</strong><br>Work with financial and operational data to support strategic decision-making and improve business efficiency.</li> <li><strong>Performance Marketing</strong><br>Monetization engine of Jeeny where you’ll manage in-app advertising campaigns and analyze marketing analytics to optimize campaign performance and drive revenue growth.</li> </ul> <p>Throughout the program, you will work closely with cross-functional teams and senior leaders to drive meaningful business outcomes.</p> <h4>What You Will Do</h4> <p>As part of the program, you will take ownership of real business challenges and contribute directly to strategic initiatives.</p> <p>Your responsibilities may include:</p> <ul> <li>Analyzing complex datasets to identify insights and recommend data-driven solutions</li> <li>Designing and implementing strategies to improve business performance</li> <li>Supporting key business projects that impact drivers, passengers, and marketplace growth</li> <li>Conducting market and competitive research to identify opportunities</li> <li>Developing new processes and frameworks to improve operational efficiency</li> <li>Running experiments and pilot initiatives to test new ideas</li> <li>Collaborating with cross-functional teams including product, finance, marketing, and operations</li> <li>Contributing to strategic discussions and initiatives alongside senior leadership</li> </ul> <p>This is a hands-on role where your ideas, insights, and ownership can create real impact from day one.</p> <h4>Requirements</h4> <p>We are looking for graduates who are analytical, curious, and driven to solve complex problems.</p> <ul> <li>Bachelor’s degree from an accredited university (graduating by August 2026)</li> <li>Strong analytical and problem-solving skills</li> <li>Familiarity with analytical tools such as Python, R, SQL, or similar</li> <li>Proficiency in statistical analysis and data interpretation</li> <li>Strong communication and collaboration skills</li> <li>Ability to work in fast-paced and evolving environments</li> <li>Curiosity, initiative, and willingness to challenge the status quo</li> <li>A collaborative mindset and passion for building impact solutions</li> </ul> <h4>Application Process</h4> <p>Once you submit your application, shortlisted candidates will go through the following stages:</p> <ul> <li>Application review</li> <li>Case study assessment</li> <li>Interviews</li> <li>Final selection</li> </ul> <p>During the process, we will evaluate your problem-solving ability, analytical thinking, and motivation to contribute to Jeeny’s mission.</p> <h4>Benefits</h4> <ul> <li>An opportunity to collaborate with talented individuals while learning, growing, and expanding your skill set</li> <li>An environment that encourages you to take ownership and produce excellent outcomes every day</li> <li>Health benefits and life insurance</li> <li>Hybrid work model</li> <li>Flexible working hours</li> <li>Monthly codes to commute freely</li> </ul> <h4>Start Your Leadership Journey</h4> <p>If you are ready to learn fast, take ownership, and grow alongside experienced leaders, we encourage you to apply.</p> <p>Join us in building the future of mobility.</p> <p>Apply now to the Jeeny Graduate Trainee Program 2026.</p> <h4>Why Join Jeeny?</h4> <ul> <li>Be part of one of the leading mobility platforms in the region.</li> <li>Work in a dynamic and collaborative environment.</li> <li>Opportunity to lead impactful finance initiatives and process improvements.</li> <li>Career growth and professional development opportunities.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Jeeny In 2014, a joint venture between iMENA Group and Rocket Internet was created to address the issues of fragmentation and inefficiency that were facing the Jordanian and Saudi taxi markets.<br> Using technology to consolidate the market and build a ride-hailing service provider in Jordan and Saudi Arabia was the solution that they came up with.<br> When iMENA was introduced to the idea of a ride-hailing solution, it saw the opportunity of transforming the transportation industry with a disruptive business model.<br> iMENA started with Jeeny (EasyTaxi at the time) early on as strategic partners; it joined forces and collaborated on optimizing marketing and operations, and worked with the authorities to shape the industry’s regulatory framework.<br> Jeeny hit the market with a vision of making people’s everyday lives easier by providing a simple innovative solution to a real problem.<br> All the while, Jeeny has had a tremendous economic impact on the drivers who make the service possible, amplifying the network effect of the model and propelling the service towards scalability and growth.<br> Today, Jeeny has evolved beyond ride-hailing to become a comprehensive on-demand logistics marketplace with a large fleet of private car and taxi cab drivers in its key markets.<br> Whether it’s food, groceries, or business correspondence that people need to move around town, Jeeny is the go-to name in Jordan and Saudi Arabia.<br> We have offices in Riyadh, Jeddah, Madinah, Amman, Lahore &amp; Karachi .<br> Program Overview: Are you ready to accelerate your career and solve real-world problems from day one?<br> The Jeeny Graduate Trainee Program 2026 is designed for ambitious graduates who want to grow into the next generation of leaders at Jeeny.<br> This program offers direct exposure to senior leadership, high-impact business challenges, and fast-track learning opportunities across key functions of the business.<br> If you're curious, analytical, and ready to take ownership early in your career, this program will give you the platform to grow.<br> Application Deadline: July 18, 2026.<br> We recommend applying early as applications may close once we receive sufficient interest.<br> Over a 6-month rotation , you will work on real business challenges across multiple teams while collaborating closely with senior leaders and decision-makers.<br> You will gain experience in areas such as: Commercial (Growth &amp; Pricing) Design data-driven strategies to improve driver and passenger engagement while strengthening customer loyalty.<br> Analyze market data and optimize pricing strategies to maximize marketplace efficiency and revenue.<br> Product Collaborate with product and engineering teams to identify user problems, design solutions, and help bring impactful features to life.<br> Business Finance Work with financial and operational data to support strategic decision-making and improve business efficiency.<br> Performance Marketing Monetization engine of Jeeny where you’ll manage in-app advertising campaigns and analyze marketing analytics to optimize campaign performance and drive revenue growth.<br> Throughout the program, you will work closely with cross-functional teams and senior leaders to drive meaningful business outcomes.<br> What You Will Do As part of the program, you will take ownership of real business challenges and contribute directly to strategic initiatives.<br> Your responsibilities may include: Analyzing complex datasets to identify insights and recommend data-driven solutions Designing and implementing strategies to improve business performance Supporting key business projects that impact drivers, passengers, and marketplace growth Conducting market and competitive research to identify opportunities Developing new processes and frameworks to improve operational efficiency Running experiments and pilot initiatives to test new ideas Collaborating with cross-functional teams including product, finance, marketing, and operations Contributing to strategic discussions and initiatives alongside senior leadership This is a hands-on role where your ideas , insights , and ownershi p can create real impact from day one.<br> An opportunity to collaborate with talented individuals while learning, growing, and expanding your skill set An environment that encourages you to take ownership and produce excellent outcomes every day Health benefits and life insurance Hybrid work model Flexible working hours Monthly codes to commute freely Start Your Leadership Journey If you are ready to learn fast, take ownership, and grow alongside experienced leaders, we encourage you to apply.<br> Join us in building the future of mobility.<br> Apply now to the Jeeny Graduate Trainee Program 2026.<br> Need help with your application?<br> Please email us at talent@jeeny.<br>me and let us know how we can help you.<br> Why Join Jeeny?<br> Be part of one of the leading mobility platforms in the region.<br> Work in a dynamic and collaborative environment.<br> Opportunity to lead impactful finance initiatives and process improvements.<br> Career growth and professional development opportunities.<br> We are looking for graduates who are analytical, curious, and driven to solve complex problems.<br> Bachelor’s degree from an accredited university (graduating by August 2026) Strong analytical and problem-solving skills Familiarity with analytical tools such as Python, R, SQL, or similar Proficiency in statistical analysis and data interpretation Strong communication and collaboration skills Ability to work in fast-paced and evolving environments Curiosity, initiative, and willingness to challenge the status quo A collaborative mindset and passion for building impact solutions Application Process Once you submit your application, shortlisted candidates will go through the following stages: Application Review Case Study Assessment Interviews Final Selection During the process, we will evaluate your problem-solving ability, analytical thinking, and motivation to contribute to Jeeny’s mission.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br>What this opportunity involves: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.<br> Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives.<br> Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.<br> We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems.<br> To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.<br> You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.<br> Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm.<br> If you do not have hands-on project experience at one of the firms listed below, please do not apply.<br> This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.<br> Eligible firms: McKinsey &amp; Company, Boston Consulting Group (BCG), Bain &amp; Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&amp;C), EY-Parthenon, Kearney, and Strategy&amp; (PwC).<br> Who We’re Looking For Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in: Structuring ambiguous client problems into workable analytical plans Building financial models, market analyses, or synthesized findings from messy inputs Producing client-ready deliverables under time pressure Forming and defending recommendations under uncertainty No deep technical background is required — we will onboard you on the lightweight tools involved.<br> What You’ll Do Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.<br> Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.<br> Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.<br> This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.<br> Skills &amp; Requirements 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&amp; Strong structured problem-solving and hypothesis-driven thinking Ability to translate vague problems into clear analytical steps and deliverables High attention to logical consistency and output quality Independent, self-directed working style Clear written English (B2+) Compensation On this project, contributors can earn up to $60 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.</p> <p>Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.</p> <p>We are launching a management consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.</p> <p>You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.</p> <p><strong>Important:</strong> This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.</p> <p><strong>Eligible firms:</strong> McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).</p> <h4>Who we’re looking for</h4> <p>Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:</p> <ul> <li>Structuring ambiguous client problems into workable analytical plans</li> <li>Building financial models, market analyses, or synthesized findings from messy inputs</li> <li>Producing client-ready deliverables under time pressure</li> <li>Forming and defending recommendations under uncertainty</li> </ul> <p>No deep technical background is required — we will onboard you on the lightweight tools involved.</p> <h4>What you’ll do</h4> <ul> <li>Build realistic consulting project environments — create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.</li> <li>Design structured consulting tasks for AI agents — break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.</li> <li>Define evaluation criteria and quality standards — develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.</li> </ul> <p>This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.</p> <h4>Skills & requirements</h4> <ul> <li>3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&</li> <li>Strong structured problem-solving and hypothesis-driven thinking</li> <li>Ability to translate vague problems into clear analytical steps and deliverables</li> <li>High attention to logical consistency and output quality</li> <li>Independent, self-directed working style</li> <li>Clear written English (B2+)</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>