Refrigeration And Air Conditioning Engineer Jobs - Amman Jordan

<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 $50\/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> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>A high-growth startup company is looking for an agile, fast-learning backend engineer with 1–2 years of experience who thrives in a fast-paced, ever-changing environment and is eager to build reliable backend services while growing within the team. You'll work closely with senior engineers, product managers, and frontend teams to develop APIs, support and maintain existing applications and internal tools, adapt quickly to shifting priorities, and contribute to scalable backend solutions that power our products.</p> <h4>Responsibilities:</h4> <ul> <li>Design, develop, and maintain backend services and APIs under guidance from senior engineers, adapting quickly as requirements evolve.</li> <li>Support, maintain, and improve existing applications and internal tools — fixing bugs, addressing tech debt, and keeping things running smoothly as the product evolves.</li> <li>Build and maintain internal tools that help other teams (ops, support, product) work more efficiently.</li> <li>Implement business logic and integrations that support product features, often under tight timelines.</li> <li>Write clean, maintainable, and well-tested code following established backend standards.</li> <li>Collaborate with frontend engineers, product managers, and designers — adjusting quickly to new information and shifting priorities.</li> <li>Assist in optimizing system performance, reliability, and security across both new and existing systems.</li> <li>Participate actively in sprint planning, stand-ups, and code reviews, bringing energy and flexibility to the team's iterative process.</li> <li>Contribute to CI/CD pipelines, deployments, and basic monitoring activities.</li> <li>Troubleshoot and resolve backend issues quickly and calmly, in both development and production environments — including legacy code you didn't originally write.</li> <li>Respond to ad hoc requests for fixes, enhancements, or support on existing systems as business needs arise.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, engineering, or a related field (or equivalent practical experience).</li> <li>1–2 years of experience in backend development, ideally in a startup or fast-iteration environment.</li> <li>Good proficiency in Node.js / JavaScript for backend services.</li> <li>Experience building and consuming APIs (REST).</li> <li>Comfortable working within and maintaining existing codebases, not just building from scratch.</li> <li>Basic understanding of databases (SQL and/or NoSQL) and data modeling concepts.</li> <li>Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.</li> <li>Basic experience with Git and modern development workflows.</li> <li>Strong working knowledge of Agile/Scrum methodologies, with genuine comfort handling changing requirements and rapid iteration.</li> <li>Strong problem-solving mindset, adaptability, and willingness to learn quickly.</li> <li>Good communication skills and ability to work in a collaborative, fast-moving team environment.</li> </ul> <h4>Benefits</h4> <h4>Guiding Principles & Values:</h4> <ul> <li>Data-driven, tech first</li> <li>Committed to exceptional experience</li> <li>Holistic ownership</li> <li>Challenging the status quo</li> <li>Together for growth</li> <li>No finish line</li> </ul></p><p></p>

<p><h4>Description</h4> <p>A high-growth startup company is looking for an agile, fast-learning backend engineer with 1–2 years of experience who thrives in a fast-paced, ever-changing environment and is eager to build reliable backend services while growing within the team. You'll work closely with senior engineers, product managers, and frontend teams to develop APIs, support and maintain existing applications and internal tools, adapt quickly to shifting priorities, and contribute to scalable backend solutions that power our products.</p> <h4>Responsibilities:</h4> <ul> <li>Design, develop, and maintain backend services and APIs under guidance from senior engineers, adapting quickly as requirements evolve.</li> <li>Support, maintain, and improve existing applications and internal tools — fixing bugs, addressing tech debt, and keeping things running smoothly as the product evolves.</li> <li>Build and maintain internal tools that help other teams (ops, support, product) work more efficiently.</li> <li>Implement business logic and integrations that support product features, often under tight timelines.</li> <li>Write clean, maintainable, and well-tested code following established backend standards.</li> <li>Collaborate with frontend engineers, product managers, and designers — adjusting quickly to new information and shifting priorities.</li> <li>Assist in optimizing system performance, reliability, and security across both new and existing systems.</li> <li>Participate actively in sprint planning, stand-ups, and code reviews, bringing energy and flexibility to the team's iterative process.</li> <li>Contribute to CI/CD pipelines, deployments, and basic monitoring activities.</li> <li>Troubleshoot and resolve backend issues quickly and calmly, in both development and production environments — including legacy code you didn't originally write.</li> <li>Respond to ad hoc requests for fixes, enhancements, or support on existing systems as business needs arise.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, engineering, or a related field (or equivalent practical experience).</li> <li>1–2 years of experience in backend development, ideally in a startup or fast-iteration environment.</li> <li>Good proficiency in Node.js / JavaScript for backend services.</li> <li>Experience building and consuming APIs (REST).</li> <li>Comfortable working within and maintaining existing codebases, not just building from scratch.</li> <li>Basic understanding of databases (SQL and/or NoSQL) and data modeling concepts.</li> <li>Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.</li> <li>Basic experience with Git and modern development workflows.</li> <li>Strong working knowledge of Agile/Scrum methodologies, with genuine comfort handling changing requirements and rapid iteration.</li> <li>Strong problem-solving mindset, adaptability, and willingness to learn quickly.</li> <li>Good communication skills and ability to work in a collaborative, fast-moving team environment.</li> </ul> <h4>Benefits</h4> <h4>Guiding Principles & Values:</h4> <ul> <li>Data-driven, tech first</li> <li>Committed to exceptional experience</li> <li>Holistic ownership</li> <li>Challenging the status quo</li> <li>Together for growth</li> <li>No finish line</li> </ul></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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for highly skilled Python data scraping engineers to join the Tandem project and drive specialized data scraping workflows within our hybrid AI + human system.</p> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tandem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tandem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>A link to GitHub is a plus.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></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 \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 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 \u2192 Pass qualification(s) \u2192 Join a project \u2192 Complete tasks \u2192 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 $50\/hr equivalent, depending on level and pace. Tasks are estimated at approximately 20 hours each; you set your own schedule.<\/p><\/p><p><\/p>

<p><h4>About the role</h4> <p>We are seeking a motivated and customer-focused Junior Systems Engineer to join our Microsoft Infrastructure team. The successful candidate will support the design, implementation, and delivery of enterprise-grade solutions for our customers while assisting in troubleshooting and providing technical support for Microsoft infrastructure environments.</p> <p>This role is ideal for candidates looking to build their expertise in Microsoft technologies while working alongside experienced engineers. The Junior Systems Engineer will collaborate with customers and internal teams to understand business requirements, contribute to infrastructure projects, and continuously develop technical and professional skills.</p> <h4>Key responsibilities</h4> <ul> <li>Support the design, implementation, and delivery of enterprise infrastructure projects for enterprise customers.</li> <li>Assist senior engineers in technical engagements throughout the project lifecycle.</li> <li>Troubleshoot and resolve Microsoft infrastructure issues under guidance while developing advanced troubleshooting skills.</li> <li>Support the preparation and presentation of technical solutions that address customer business and technical requirements.</li> <li>Collaborate with customers, project managers, and internal teams to ensure successful project execution.</li> <li>Work closely with senior engineers to gain technical knowledge and best practices.</li> <li>Participate in knowledge-sharing initiatives and contribute to continuous improvement activities.</li> <li>Identify technical issues and escalate complex challenges when necessary.</li> <li>Communicate effectively with both technical and non-technical stakeholders.</li> <li>Stay up to date with Microsoft technologies and industry trends through continuous learning.</li> <li>Maintain high standards of quality, professionalism, and customer satisfaction.</li> </ul> <h4>Requirements</h4> <h4>Education</h4> <p>Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.</p> <h4>Experience</h4> <ul> <li>1–2 years of hands-on experience in an enterprise IT environment.</li> <li>Internship or practical experience supporting Microsoft infrastructure technologies is a plus.</li> <li>Strong willingness to learn and develop in a customer-facing technical role.</li> </ul> <h4>Technical skills</h4> <p>Strong knowledge of and/or hands-on experience with:</p> <ul> <li>Active Directory</li> <li>Microsoft Exchange Server</li> <li>Hyper-V</li> <li>Windows Server</li> <li>Microsoft SQL Server</li> <li>Microsoft System Center Products</li> <li>Microsoft Azure</li> <li>Microsoft Entra ID</li> <li>Microsoft 365</li> <li>Microsoft Defender</li> <li>Microsoft Intune</li> <li>Microsoft Purview</li> </ul> <h4>Required competencies</h4> <ul> <li>Strong troubleshooting and problem-solving skills.</li> <li>Excellent communication and presentation skills.</li> <li>Ability to work independently and as part of a team.</li> <li>Strong customer service and stakeholder management skills.</li> <li>Eagerness to learn from senior engineers and continuously develop technical skills.</li> <li>Ability to manage multiple priorities in a fast-paced environment.</li> </ul></p><p></p>

<p><h4>Responsibilities:</h4> <p><strong>Lead electrical design</strong> from feasibility and basis of design (BoD) through detailed design, tender, and construction support for aviation facilities.</p> <p><strong>Own the electrical power strategy</strong> for large-scale facilities (e.g., hangar bays): MV/LV distribution, redundancy, load management, earthing, and control philosophies—balancing reliability, safety, and energy performance (IEC/NFPA context).</p> <p><strong>Engineer electrical systems</strong> for hazardous operations: paint booths/rooms, fuel-cell maintenance areas, welding zones—ensuring compliance with ATEX/IECEx and coordination with mechanical ventilation and controls.</p> <p><strong>Design and specify power systems</strong> for aviation facilities: transformers, generators, UPS, distribution boards, and backup systems for mission-critical operations.</p> <p><strong>Integrate electrical utilities</strong> across MRO and workshop environments—ground power units (GPU), PCA interfaces, process equipment loads, and coordination with mechanical, fire/life safety, and control systems.</p> <p><strong>Shape electrical systems</strong> for catering facilities: resilient power distribution for kitchens, cold-chain systems, and hygienic areas aligned with HACCP/ISO 22000 requirements.</p> <p><strong>Deliver BIM-led coordination</strong> (Revit/Navisworks) across architecture, structures, MEP, and specialist systems; lead clash resolution and model QA.</p> <p><strong>Perform calculations and studies:</strong> load estimation, cable sizing, protection coordination, short-circuit analysis, and lighting design.</p> <p><strong>Author technical documents:</strong> BoD, load schedules, single-line diagrams (SLDs), specifications, and commissioning plans.</p> <p><strong>Mentor and review engineers/designers;</strong> lead design reviews, HAZOPs, and constructability/operability workshops.</p> <p><strong>Engage stakeholders</strong>—airlines, MROs, airport operators, and authorities—to secure approvals and ensure smooth delivery.</p> <p><strong>Lead retrofit, refurbishment, and brownfield upgrades</strong> in operational airport environments—assessing existing systems, planning phased upgrades, and integrating new systems with minimal disruption while improving capacity, compliance, and energy performance.</p> <h4>Key systems & domains you’ll cover:</h4> <ul> <li>Hangars & workshops: MV/LV distribution, ground power units (GPU), PCA electrical interfaces, high-bay lighting, emergency power, earthing and bonding for aircraft safety, and hangar door electrics.</li> <li>Paint/corrosion control: hazardous-area electrical systems, explosion-proof equipment, interlocks, LEL monitoring interfaces, and ATEX/IECEx compliance coordinated with ventilation and controls.</li> <li>Welding & fabrication: power distribution for welding equipment, equipment earthing, task lighting, and integration with extraction/LEV systems aligned with OSHA/ACGIH guidance.</li> <li>Power systems: transformers, generators, UPS, LV panels, and distribution networks designed for redundancy, resilience, and mission-critical operations.</li> <li>Catering facilities: resilient power supply for kitchens, cold rooms/freezers, food processing areas, and hygienic zoning aligned with HACCP/ISO 22000 requirements.</li> <li>ELV & controls: fire alarm systems (NFPA 72), ICT, security (CCTV/access control), structured cabling, and BMS/SCADA integration for operational monitoring and control.</li> </ul> <h4>Qualifications:</h4> <ul> <li>Bachelor’s degree in electrical engineering; master’s degree preferred.</li> <li>Professionally registered (CEng, PE, or equivalent).</li> <li>15+ years' experience in electrical building services design, including aviation and complex infrastructure projects.</li> <li>Demonstrated experience leading multidisciplinary design teams and delivering major projects.</li> </ul> <h4>Technical expertise:</h4> <ul> <li>Strong knowledge of international electrical design codes, standards, and aviation requirements.</li> <li>Expertise in MV/LV power distribution, load assessments, protection systems, and earthing design.</li> <li>Proficiency in BIM and industry-standard design software, including Revit, Navisworks, ETAP, and Dialux.</li> <li>Experience in airport facilities, terminal buildings, and aviation-related infrastructure is highly desirable.</li> </ul></p><p></p>

<p><h4>Responsibilities:</h4> <p><strong>Lead electrical design</strong> from feasibility and basis of design (BoD) through detailed design, tender, and construction support for aviation facilities.</p> <p><strong>Own the electrical power strategy</strong> for large-scale facilities (e.g., hangar bays): MV/LV distribution, redundancy, load management, earthing, and control philosophies—balancing reliability, safety, and energy performance (IEC/NFPA context).</p> <p><strong>Engineer electrical systems</strong> for hazardous operations: paint booths/rooms, fuel-cell maintenance areas, welding zones—ensuring compliance with ATEX/IECEx and coordination with mechanical ventilation and controls.</p> <p><strong>Design and specify power systems</strong> for aviation facilities: transformers, generators, UPS, distribution boards, and backup systems for mission-critical operations.</p> <p><strong>Integrate electrical utilities</strong> across MRO and workshop environments—ground power units (GPU), PCA interfaces, process equipment loads, and coordination with mechanical, fire/life safety, and control systems.</p> <p><strong>Shape electrical systems</strong> for catering facilities: resilient power distribution for kitchens, cold-chain systems, and hygienic areas aligned with HACCP/ISO 22000 requirements.</p> <p><strong>Deliver BIM-led coordination</strong> (Revit/Navisworks) across architecture, structures, MEP, and specialist systems; lead clash resolution and model QA.</p> <p><strong>Perform calculations and studies:</strong> load estimation, cable sizing, protection coordination, short-circuit analysis, and lighting design.</p> <p><strong>Author technical documents:</strong> BoD, load schedules, single-line diagrams (SLDs), specifications, and commissioning plans.</p> <p><strong>Mentor and review engineers/designers;</strong> lead design reviews, HAZOPs, and constructability/operability workshops.</p> <p><strong>Engage stakeholders</strong>—airlines, MROs, airport operators, and authorities—to secure approvals and ensure smooth delivery.</p> <p><strong>Lead retrofit, refurbishment, and brownfield upgrades</strong> in operational airport environments—assessing existing systems, planning phased upgrades, and integrating new systems with minimal disruption while improving capacity, compliance, and energy performance.</p> <h4>Key systems & domains you’ll cover:</h4> <ul> <li>Hangars & workshops: MV/LV distribution, ground power units (GPU), PCA electrical interfaces, high-bay lighting, emergency power, earthing and bonding for aircraft safety, and hangar door electrics.</li> <li>Paint/corrosion control: hazardous-area electrical systems, explosion-proof equipment, interlocks, LEL monitoring interfaces, and ATEX/IECEx compliance coordinated with ventilation and controls.</li> <li>Welding & fabrication: power distribution for welding equipment, equipment earthing, task lighting, and integration with extraction/LEV systems aligned with OSHA/ACGIH guidance.</li> <li>Power systems: transformers, generators, UPS, LV panels, and distribution networks designed for redundancy, resilience, and mission-critical operations.</li> <li>Catering facilities: resilient power supply for kitchens, cold rooms/freezers, food processing areas, and hygienic zoning aligned with HACCP/ISO 22000 requirements.</li> <li>ELV & controls: fire alarm systems (NFPA 72), ICT, security (CCTV/access control), structured cabling, and BMS/SCADA integration for operational monitoring and control.</li> </ul> <h4>Qualifications:</h4> <ul> <li>Bachelor’s degree in electrical engineering; master’s degree preferred.</li> <li>Professionally registered (CEng, PE, or equivalent).</li> <li>15+ years' experience in electrical building services design, including aviation and complex infrastructure projects.</li> <li>Demonstrated experience leading multidisciplinary design teams and delivering major projects.</li> </ul> <h4>Technical expertise:</h4> <ul> <li>Strong knowledge of international electrical design codes, standards, and aviation requirements.</li> <li>Expertise in MV/LV power distribution, load assessments, protection systems, and earthing design.</li> <li>Proficiency in BIM and industry-standard design software, including Revit, Navisworks, ETAP, and Dialux.</li> <li>Experience in airport facilities, terminal buildings, and aviation-related infrastructure is highly desirable.</li> </ul></p><p></p>

<p><h4>Job description</h4> <p><strong>Job role - Principal Engineer – Electrical – Metro Stations</strong><br> Verbal and written communication in English is mandatory.</p> <h4>Responsibilities:</h4> <ul> <li>Lead multi-disciplinary station electrical design: LV/MV building distribution, protection/coordination, earthing & bonding, lightning protection, standby generators & UPS, lighting & controls, across underground, at-grade, and elevated stations.</li> <li>Own the full design lifecycle: requirements capture, basis-of-design, load studies, selectivity/arc-flash reviews, single-lines, schematics, cable schedules, layouts, specs/BOQs, and employer’s requirements. Provide construction support as needed.</li> <li>Apply rail-specific life-safety standards in stations: e.g., NFPA 130 for fixed guideway transit (egress, fire protection, emergency ventilation & control/communications); coordinate with fire/life-safety, ventilation and architectural teams.</li> <li>Design compliant emergency lighting to EN 1838/BS 5266 (escape route, open-area, high-risk task) and produce photometric calculations & layouts (Dialux/Relux).</li> <li>Engineer EMC & earthing interfaces to EN 50121 (railway EMC) and EN 50122-1 (earthing/bonding for fixed installations) and manage interfaces with signaling/telecom/PSD.</li> <li>Coordinate digitally in BIM (Revit/Navisworks) with architecture, structural and MEP; run design reviews, clash prevention and interface matrices.</li> <li>Lead authority approvals (Saudi & UAE Civil Defence and utilities), support client/stakeholder workshops, value engineering and risk registers.</li> <li>Mentor and manage a team of designers; review deliverables, uphold QA/QC; contribute to proposal writing and level-of-effort estimates.</li> </ul> <h4>Qualifications:</h4> <ul> <li>Bachelor’s or Master’s degree in Electrical Engineering.</li> <li>Professional registration (e.g., CEng/PE) strongly preferred.</li> <li>12–18+ years in building/station electrical design with major rail/metro station projects; GCC experience strongly preferred.</li> <li>Strong grasp of NFPA 130, EN 1838/BS 5266 (emergency lighting), EN 50121/EN 50122 (EMC/earthing), BS 7671/IET Wiring Regs or NEC, and typical rail authority requirements.</li> <li>Fluency with ETAP/Amtech, Dialux/Relux, AutoCAD/Revit, and BIM coordination; familiarity with SCADA/BMS interfaces for station systems.</li> <li>Excellent interface management, stakeholder communication and team leadership skills.</li> </ul> <h4>Nice to have:</h4> <ul> <li>Experience integrating station electrical design with PSD, tunnel ventilation controls, SCS/OCS interfaces, and evacuation strategies per NFPA 130.</li> <li>Past authority liaison in KSA (RCRC/SDAIA utilities/Civil Defense).</li> <li>RAMS exposure (EN 50126/8/9) and cyber/physical security considerations for stations.</li> </ul> <p>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<p><h4>Job description</h4> <p><strong>Job role - Principal Engineer – Electrical – Metro Stations</strong><br> Verbal and written communication in English is mandatory.</p> <h4>Responsibilities:</h4> <ul> <li>Lead multi-disciplinary station electrical design: LV/MV building distribution, protection/coordination, earthing & bonding, lightning protection, standby generators & UPS, lighting & controls, across underground, at-grade, and elevated stations.</li> <li>Own the full design lifecycle: requirements capture, basis-of-design, load studies, selectivity/arc-flash reviews, single-lines, schematics, cable schedules, layouts, specs/BOQs, and employer’s requirements. Provide construction support as needed.</li> <li>Apply rail-specific life-safety standards in stations: e.g., NFPA 130 for fixed guideway transit (egress, fire protection, emergency ventilation & control/communications); coordinate with fire/life-safety, ventilation and architectural teams.</li> <li>Design compliant emergency lighting to EN 1838/BS 5266 (escape route, open-area, high-risk task) and produce photometric calculations & layouts (Dialux/Relux).</li> <li>Engineer EMC & earthing interfaces to EN 50121 (railway EMC) and EN 50122-1 (earthing/bonding for fixed installations) and manage interfaces with signaling/telecom/PSD.</li> <li>Coordinate digitally in BIM (Revit/Navisworks) with architecture, structural and MEP; run design reviews, clash prevention and interface matrices.</li> <li>Lead authority approvals (Saudi & UAE Civil Defence and utilities), support client/stakeholder workshops, value engineering and risk registers.</li> <li>Mentor and manage a team of designers; review deliverables, uphold QA/QC; contribute to proposal writing and level-of-effort estimates.</li> </ul> <h4>Qualifications:</h4> <ul> <li>Bachelor’s or Master’s degree in Electrical Engineering.</li> <li>Professional registration (e.g., CEng/PE) strongly preferred.</li> <li>12–18+ years in building/station electrical design with major rail/metro station projects; GCC experience strongly preferred.</li> <li>Strong grasp of NFPA 130, EN 1838/BS 5266 (emergency lighting), EN 50121/EN 50122 (EMC/earthing), BS 7671/IET Wiring Regs or NEC, and typical rail authority requirements.</li> <li>Fluency with ETAP/Amtech, Dialux/Relux, AutoCAD/Revit, and BIM coordination; familiarity with SCADA/BMS interfaces for station systems.</li> <li>Excellent interface management, stakeholder communication and team leadership skills.</li> </ul> <h4>Nice to have:</h4> <ul> <li>Experience integrating station electrical design with PSD, tunnel ventilation controls, SCS/OCS interfaces, and evacuation strategies per NFPA 130.</li> <li>Past authority liaison in KSA (RCRC/SDAIA utilities/Civil Defense).</li> <li>RAMS exposure (EN 50126/8/9) and cyber/physical security considerations for stations.</li> </ul> <p>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.</p></p><p></p>

<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>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>Mindrift is looking for highly skilled Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Mindrift is looking for highly skilled Python data scraping engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.</h4> <p>In this role, as an AI pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.</p> <p>This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a Python data scraping engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.</p> <h4>Key responsibilities</h4> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 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> <h4>How to get started</h4> <p>Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.</p> <h4>Requirements</h4> <ul> <li>At least 3 years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor's or Master’s degree in engineering, applied mathematics, computer science, or related technical fields is a plus.</li> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).</li> <li>Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.</li> <li>Strong attention to detail and commitment to data accuracy.</li> <li>Self-directed work ethic with ability to troubleshoot independently.</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Benefits</h4> <p>Why this freelance opportunity might be a great fit for you?</p> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Job purpose</h4> <p>To support the design, installation, operation, and improvement of electrical systems by providing technical assistance, resolving day-to-day engineering issues, and coordinating with relevant teams to ensure safe and reliable performance in line with project and operational requirements.</p> <h4>Key accountability areas</h4> <strong>Electrical engineering activities</strong><br> <li>Prepare and review electrical drawings and technical submittals in accordance with project specifications and standards.</li> <li>Provide technical support during installation, testing, and commissioning activities.</li> <li>Troubleshoot electrical faults and coordinate with maintenance or project teams for resolution.</li> <li>Implement approved design and engineering changes.</li> <strong>Technical coordination and documentation</strong><br> <li>Prepare technical reports, calculations, and engineering documentation as required.</li> <li>Provide technical clarifications to internal teams, contractors, and suppliers.</li> <li>Support material submittal reviews and technical evaluations.</li> <li>Maintain updated engineering records and as-built drawings.</li> <strong>Quality and compliance</strong><br> <li>Ensure electrical activities are performed in line with applicable standards and approved procedures.</li> <li>Coordinate with the quality team to address non-conformities and implement corrective actions.</li> <li>Witness testing activities and verify proper documentation of results.</li> <strong>HSE and operational support</strong><br> <li>Follow HSE policies and promote safe working practices during all electrical activities.</li> <li>Identify and report potential risks and support corrective actions.</li> <li>Coordinate with concerned functions to ensure smooth execution of work.</li> <h4>Role accountability</h4> <strong>HR proficiency</strong><br> <p>Ability to obtain updated soft and technical skills related to the job.</p> <strong>Delivery</strong><br> <li>Perform the planned activities to meet the operational and development targets as per delivery schedules.</li> <li>Utilize resources effectively to achieve objectives within efficient cost and time.</li> <li>Provide a periodic report formatted by detailing the deviation and execution of planned tasks.</li> <strong>Problem-solving</strong><br> <p>Solve any related problems that arise and escalate any complex operational issues.</p> <strong>Quality</strong><br> <p>Ensure quality requirements to develop effective quality control and processes including specifications for products, processes, or related activities.</p> <strong>Business process improvements</strong><br> <p>Coordinate well-defined written systems, policies, procedures, and seek automation opportunities as much as possible.</p> <strong>Compliance</strong><br> <p>Comply with related policies, procedures, and work instructions.</p> <strong>Health, safety, and environment</strong><br> <p>Ensure compliance with relevant safety, quality, and environmental management procedures and controls within defined area of work activity to guarantee safety, legislative compliance, and delivery of high-quality products and services.</p> <h4>Academic qualification</h4> <p>Bachelor degree in Electrical Engineering</p> <h4>Work experience</h4> <p>2 to 4 years</p> <h4>Technical / functional competencies</h4> <p>Safety<br> Design<br> Design tools<br> Engineering design<br> Design specifications</p></p><p></p>