Python Developer Jobs - Amman Jordan

<p><h4>Description</h4> <p>Mindrift is looking for skilled full-stack web app developers (JavaScript/TypeScript + Python or Node) to join the Tendem project and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.</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 full-stack web app developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.</p> <h4>Key responsibilities</h4> <ul> <li>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).</li> <li>Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.</li> <li>Implement authentication, sessions, and basic role-based access where needed.</li> <li>Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.</li> <li>Handle state management, user input validation, error states, and loading states cleanly.</li> <li>Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).</li> <li>Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.</li> <li>Write clear, testable code and debug end-to-end issues across frontend, backend, and database.</li> </ul> <h4>Requirements and benefits</h4> <ul> <li>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> <li>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.</li> <li>Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar).</li> <li>Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.js (Express, NestJS).</li> <li>Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.</li> <li>Experience implementing REST APIs, request validation, error handling, and authentication flows.</li> <li>Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar).</li> <li>Experience integrating LLM APIs or other AI services into product features is a strong plus.</li> <li>Comfortable with version control (Git) and basic testing practices.</li> <li>Strong attention to detail and commitment to building working, robust products — not demos.</li> <li>Self-directed work ethic with the ability to architect, build, and ship features independently.</li> <li>Portfolio of shipped web applications (required).</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. 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>Why this freelance opportunity might be a great fit for you?</h4> <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 skilled full-stack web app developers (JavaScript/TypeScript + Python or Node) to join the Tendem project and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.</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 full-stack web app developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.</p> <h4>Key responsibilities</h4> <ul> <li>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).</li> <li>Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.</li> <li>Implement authentication, sessions, and basic role-based access where needed.</li> <li>Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.</li> <li>Handle state management, user input validation, error states, and loading states cleanly.</li> <li>Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).</li> <li>Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.</li> <li>Write clear, testable code and debug end-to-end issues across frontend, backend, and database.</li> </ul> <h4>Requirements and benefits</h4> <ul> <li>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> <li>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.</li> <li>Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar).</li> <li>Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.js (Express, NestJS).</li> <li>Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.</li> <li>Experience implementing REST APIs, request validation, error handling, and authentication flows.</li> <li>Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar).</li> <li>Experience integrating LLM APIs or other AI services into product features is a strong plus.</li> <li>Comfortable with version control (Git) and basic testing practices.</li> <li>Strong attention to detail and commitment to building working, robust products — not demos.</li> <li>Self-directed work ethic with the ability to architect, build, and ship features independently.</li> <li>Portfolio of shipped web applications (required).</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. 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>Why this freelance opportunity might be a great fit for you?</h4> <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>BlackStone eIT is seeking an experienced and visionary AI team lead to oversee and guide our artificial intelligence initiatives. As the AI team lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery.</p> <h4>Key responsibilities:</h4> <ul> <li>Lead, mentor, and manage a team of AI engineers and data scientists.</li> <li>Design and develop scalable AI models and algorithms tailored to business needs.</li> <li>Collaborate with product managers, software developers, and business stakeholders to define AI project requirements.</li> <li>Ensure rigorous testing, validation, and deployment of AI solutions.</li> <li>Stay current with the latest advancements in AI, machine learning, and data science technologies.</li> <li>Establish best practices and standards for AI development within the team.</li> <li>Identify opportunities for AI integration to improve products and services.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s or master’s degree in computer science, artificial intelligence, data science, or related field.</li> <li>At least 8 years of experience in AI, machine learning, or data science roles.</li> <li>Proven leadership experience managing technical teams.</li> <li>Strong proficiency in programming languages such as Python, R, or Java.</li> <li>Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.</li> <li>Solid understanding of data processing, feature engineering, and statistical modeling.</li> <li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment.</li> <li>Excellent problem-solving, analytical, and communication skills.</li> <li>Ability to translate complex AI concepts into actionable business solutions.</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence. Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems. Collaborate with stakeholders to identify AI opportunities that drive business value. Guide the team to effectively use machine learning frameworks and tools. Oversee project lifecycle from research and prototyping to production deployment. Maintain knowledge of latest trends and advancements in AI and machine learning. Establish best practices and foster a culture of continuous improvement and innovation.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.</li><li>3+ years of experience in a technical leadership or mentoring role.</li><li>Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li><li>Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li><li>NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li><li>CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li><li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li><li>Experience with building and deploying Autonomous AI Agents (e.g., using Langchain,langgraph,Crew ai ).</li><li>Background in edge deployment for Computer Vision models (TensorRT, ONNX).</li></ul><p></p></section>

<p><h4>Description</h4> <p>Mindrift is looking for skilled full-stack web app developers (JavaScript/TypeScript + Python or Node) to join the Tendem project and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.</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 full-stack web app developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.</p> <h4>Key responsibilities</h4> <ul> <li>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).</li> <li>Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.</li> <li>Implement authentication, sessions, and basic role-based access where needed.</li> <li>Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.</li> <li>Handle state management, user input validation, error states, and loading states cleanly.</li> <li>Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).</li> <li>Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.</li> <li>Write clear, testable code and debug end-to-end issues across frontend, backend, and database.</li> </ul> <h4>Requirements and benefits</h4> <ul> <li>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> <li>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.</li> <li>Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar).</li> <li>Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.js (Express, NestJS).</li> <li>Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.</li> <li>Experience implementing REST APIs, request validation, error handling, and authentication flows.</li> <li>Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar).</li> <li>Experience integrating LLM APIs or other AI services into product features is a strong plus.</li> <li>Comfortable with version control (Git) and basic testing practices.</li> <li>Strong attention to detail and commitment to building working, robust products — not demos.</li> <li>Self-directed work ethic with the ability to architect, build, and ship features independently.</li> <li>Portfolio of shipped web applications (required).</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. 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>Why this freelance opportunity might be a great fit for you?</h4> <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 skilled full-stack web app developers (JavaScript/TypeScript + Python or Node) to join the Tendem project and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.</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 full-stack web app developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.</p> <h4>Key responsibilities</h4> <ul> <li>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).</li> <li>Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.</li> <li>Implement authentication, sessions, and basic role-based access where needed.</li> <li>Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.</li> <li>Handle state management, user input validation, error states, and loading states cleanly.</li> <li>Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).</li> <li>Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.</li> <li>Write clear, testable code and debug end-to-end issues across frontend, backend, and database.</li> </ul> <h4>Requirements and benefits</h4> <ul> <li>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> <li>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.</li> <li>Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar).</li> <li>Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.js (Express, NestJS).</li> <li>Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.</li> <li>Experience implementing REST APIs, request validation, error handling, and authentication flows.</li> <li>Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar).</li> <li>Experience integrating LLM APIs or other AI services into product features is a strong plus.</li> <li>Comfortable with version control (Git) and basic testing practices.</li> <li>Strong attention to detail and commitment to building working, robust products — not demos.</li> <li>Self-directed work ethic with the ability to architect, build, and ship features independently.</li> <li>Portfolio of shipped web applications (required).</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <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> <h4>Why this freelance opportunity might be a great fit for you?</h4> <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 skilled full-stack web app developers (JavaScript/TypeScript + Python or Node) to join the Tendem project and build interactive browser-based applications within our hybrid AI + human environment. In this role, as an AI Pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide full-stack engineering expertise, architectural judgment, and quality control to ensure web apps are functional, robust, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience in modern frontend frameworks, backend APIs, databases, and shipping interactive web products end-to-end.</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 full-stack web app developer, you'll design, build, and refine browser-based applications with real logic, state, persistence, and user input — from habit trackers and budgeting tools to internal dashboards, mini-SaaS tools, and AI-powered apps. You may also work on standalone Python applications and data-processing scripts that sit alongside or behind these products.</p> <h4>Key responsibilities</h4> <ul> <li>Build interactive web applications with frontend (React, Next.js, Vue, or similar) and a backend API (Python/FastAPI/Flask or Node/Express).</li> <li>Design and implement data models, schemas, and persistence layers using SQL (PostgreSQL, SQLite) or NoSQL stores.</li> <li>Implement authentication, sessions, and basic role-based access where needed.</li> <li>Integrate third-party APIs and AI/LLM services (OpenAI, Anthropic, or similar) into product features.</li> <li>Handle state management, user input validation, error states, and loading states cleanly.</li> <li>Build standalone Python tools and scripts where required by the task (data processing, API clients, lightweight backend utilities).</li> <li>Evaluate AI-generated full-stack code and refactor it for correctness, security, performance, and maintainability.</li> <li>Write clear, testable code and debug end-to-end issues across frontend, backend, and database.</li> </ul> <h4>Requirements and benefits</h4> <ul> <li>At least 3 years of relevant experience in full-stack web development or shipping interactive web applications (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> <li>Candidates should have a strong foundation in full-stack web development, modern frontend frameworks, backend architecture, and building interactive browser-based applications end-to-end. We are looking for specialists who can confidently work across frontend, backend, databases, and APIs, design robust application logic, and refine AI-assisted output into production-ready products. Strong problem-solving skills, attention to detail, and the ability to independently architect and ship complete features are essential.</li> <li>Strong command of JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, Vue, Svelte, or similar).</li> <li>Solid backend experience in Python (FastAPI, Flask, Django) and/or Node.js (Express, NestJS).</li> <li>Hands-on experience with relational databases (PostgreSQL, MySQL, SQLite) and basic schema design.</li> <li>Experience implementing REST APIs, request validation, error handling, and authentication flows.</li> <li>Familiarity with deployment platforms (Vercel, Netlify, Render, Fly.io, Railway, or similar).</li> <li>Experience integrating LLM APIs or other AI services into product features is a strong plus.</li> <li>Comfortable with version control (Git) and basic testing practices.</li> <li>Strong attention to detail and commitment to building working, robust products — not demos.</li> <li>Self-directed work ethic with the ability to architect, build, and ship features independently.</li> <li>Portfolio of shipped web applications (required).</li> <li>English proficiency: upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. 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>Why this freelance opportunity might be a great fit for you?</h4> <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>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and LangChain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using LangChain, Lang Graph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>BlackStone eIT is actively looking for a dedicated AI team lead to spearhead our artificial intelligence initiatives.</h4> <p>This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.</p> <h4>Responsibilities:</h4> <ul> <li>Lead the AI team in designing, developing, and implementing AI models and systems.</li> <li>Collaborate with stakeholders to identify AI opportunities that drive business value.</li> <li>Guide the team to effectively use machine learning frameworks and tools.</li> <li>Oversee project lifecycle from research and prototyping to production deployment.</li> <li>Maintain knowledge of latest trends and advancements in AI and machine learning.</li> <li>Establish best practices and foster a culture of continuous improvement and innovation.</li> </ul> <h4>Requirements</h4> <ul> <li>Experience: 6+ years of hands-on experience in machine learning, deep learning, or AI engineering.</li> <li>3+ years of experience in a technical leadership or mentoring role.</li> <li>Programming & frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).</li> <li>Cloud infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).</li> <li>NLP expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.</li> <li>CV expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.</li> <li>MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.</li> <li>Experience with building and deploying autonomous AI agents (e.g., using Langchain, Langgraph, Crew AI).</li> <li>Background in edge deployment for computer vision models (TensorRT, ONNX).</li> </ul> <h4>Benefits</h4> <ul> <li>Paid time off</li> <li>Performance bonus</li> <li>Training & development</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for an experienced senior data scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.</p> <p>Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities</li> <li>Translate business requirements into scalable data science and machine learning solutions</li> <li>Validate data availability and define analytical approaches for new use cases</li> <li>Build predictive models, machine learning solutions, and GenAI applications</li> <li>Design robust data pipelines and analytical workflows</li> <li>Apply data processing, feature engineering, and statistical modelling techniques</li> <li>Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices</li> <li>Present analytical findings and recommendations to technical and executive stakeholders</li> <li>Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way</li> <li>Mentor junior team members and support technical delivery across multiple initiatives</li> </ul> <h4>You're our match if you have</h4> <ul> <li>Master's degree in data science, computer science, artificial intelligence, mathematics, software engineering, or a related field</li> <li>5+ years of hands-on experience delivering data science or machine learning solutions</li> <li>Strong Python programming skills and experience with modern data science libraries</li> <li>Experience building predictive models, machine learning solutions, and GenAI applications</li> <li>Strong understanding of statistics, data modelling, and feature engineering</li> <li>Experience designing scalable data pipelines and production-ready AI solutions</li> <li>Familiarity with MLOps, model deployment, and machine learning lifecycle management</li> <li>Excellent stakeholder management and communication skills</li> <li>Ability to translate complex technical concepts into business value</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Telecommunications or other customer-centric industries</li> <li>Large-scale customer analytics and segmentation</li> <li>Large language models (LLMs) and retrieval-augmented generation (RAG)</li> <li>Cloud platforms such as Azure, AWS, or Google Cloud</li> <li>Databricks, Spark, or distributed data processing</li> <li>Docker, Kubernetes, or CI/CD pipelines</li> <li>Leading or mentoring technical teams</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for an experienced senior data scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.</p> <p>Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities</li> <li>Translate business requirements into scalable data science and machine learning solutions</li> <li>Validate data availability and define analytical approaches for new use cases</li> <li>Build predictive models, machine learning solutions, and GenAI applications</li> <li>Design robust data pipelines and analytical workflows</li> <li>Apply data processing, feature engineering, and statistical modelling techniques</li> <li>Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices</li> <li>Present analytical findings and recommendations to technical and executive stakeholders</li> <li>Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way</li> <li>Mentor junior team members and support technical delivery across multiple initiatives</li> </ul> <h4>You're our match if you have</h4> <ul> <li>Master's degree in data science, computer science, artificial intelligence, mathematics, software engineering, or a related field</li> <li>5+ years of hands-on experience delivering data science or machine learning solutions</li> <li>Strong Python programming skills and experience with modern data science libraries</li> <li>Experience building predictive models, machine learning solutions, and GenAI applications</li> <li>Strong understanding of statistics, data modelling, and feature engineering</li> <li>Experience designing scalable data pipelines and production-ready AI solutions</li> <li>Familiarity with MLOps, model deployment, and machine learning lifecycle management</li> <li>Excellent stakeholder management and communication skills</li> <li>Ability to translate complex technical concepts into business value</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Telecommunications or other customer-centric industries</li> <li>Large-scale customer analytics and segmentation</li> <li>Large language models (LLMs) and retrieval-augmented generation (RAG)</li> <li>Cloud platforms such as Azure, AWS, or Google Cloud</li> <li>Databricks, Spark, or distributed data processing</li> <li>Docker, Kubernetes, or CI/CD pipelines</li> <li>Leading or mentoring technical teams</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 ~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 $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>\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>\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>\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>\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>\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> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML/CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Remote junior AI engineer – computer vision<br> Location: Remote<br> Employment type: Full-time (8 hours) remotely<br> Experience level: Junior (5+ years)</p> <p>InnovationTeam is a forward-thinking technology company that delivers advanced AI and data-driven solutions across multiple industries. We are currently seeking a junior AI engineer – computer vision to join our AI engineering team.</p> <p>As a junior computer vision engineer at InnovationTeam, you will be responsible for designing, developing, and deploying vision-based AI systems for real-world, production environments. You will work closely with cross-functional teams to build scalable image and video analytics solutions.</p> <p>This position requires strong expertise in computer vision, deep learning, and software engineering. The ideal candidate is technically strong, self-driven, and experienced in taking AI models from research to production.</p> <p>At InnovationTeam, we foster a culture of innovation, collaboration, and technical excellence, offering an environment where junior engineers can make a meaningful impact.</p> <h4>Role overview</h4> <p>We are seeking a skilled AI engineer with a strong focus on computer vision to develop, optimize, and deploy vision-based AI solutions. The role involves working on real-world image and video analytics problems and delivering production-ready AI systems.</p> <h4>Requirements</h4> <ul> <li>Develop and train computer vision models for image and video analysis.</li> <li>Implement solutions for object detection, image classification, segmentation, and tracking.</li> <li>Prepare and manage datasets, including data cleaning, labelling, and augmentation.</li> <li>Optimize models for GPU performance, inference speed, and scalability.</li> <li>Deploy AI models into production using APIs and containerized services.</li> <li>Integrate computer vision models with broader AI and analytics platforms.</li> <li>Collaborate with software engineers, data scientists, and product teams.</li> <li>Maintain documentation and ensure code quality and reproducibility.</li> </ul> <h4>Required skills & qualifications</h4> <ul> <li>Minimum 2 years of hands-on experience in AI / machine learning / deep learning with a focus on computer vision.</li> <li>Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.</li> <li>Strong knowledge of computer vision concepts and algorithms.</li> <li>Practical experience with CNN-based models and modern CV architectures.</li> <li>Proficiency in Python and common ML / CV libraries (PyTorch or TensorFlow, OpenCV).</li> <li>Experience with object detection and segmentation frameworks (e.g., YOLO, Detectron2).</li> <li>Understanding of model evaluation, metrics, and performance optimization.</li> <li>Experience deploying models in cloud or on-prem environments.</li> <li>Familiarity with Docker and basic MLOps practices.</li> <li>Excellent English communication skills (written and spoken).</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with video analytics or real-time inference.</li> <li>Exposure to vision transformers or multimodal AI.</li> <li>Experience with GPU-based training and inference.</li> <li>Knowledge of cloud platforms (OCI, AWS, Azure, or GCP).</li> <li>Background in domains such as healthcare, smart cities, or industrial AI.</li> </ul> <h4>Benefits</h4> <ul> <li>Work on practical, production-grade computer vision solutions.</li> <li>Access to GPU infrastructure and modern AI tooling.</li> <li>Collaborative, engineering-focused work environment.</li> <li>Opportunities for growth and advanced AI exposure.</li> <li>Competitive compensation package.</li> </ul></p><p></p>