Freelance Machine Learning Developer

Role overview Toloka AI is hiring a Strategy Consultant to focus on AI training and evaluation. This remote role is based in Stuttgart, Baden-Württemberg, Germany. The position involves close collaboration with leading consulting firms, including MBB and other top-tier organizations, to strengthen AI-driven solutions. What you will do Work with teams from major consulting firms to design and improve AI strategies. Apply expertise in AI training and evaluation to help meet client goals. Shape methods that support clients in achieving results with AI technologies.

Role overview toloka-ai seeks a Senior Consultant with a deep background in artificial intelligence for freelance assignments. This role involves guiding AI projects, sharing expertise built at leading firms, and helping to develop solutions that align with client objectives. The consultant will play a key part in enhancing toloka-ai’s service offerings through direct project involvement. What you will do Advise on AI projects from initial concept through delivery Draw on experience from top-tier firms to address client needs Work closely with a remote team to design and improve AI solutions Contribute to the ongoing development of toloka-ai’s services through active project work Location This freelance position is fully remote. Candidates can be based in Stuttgart, Baden-Württemberg, Germany, or work from another location.

Toloka-AI seeks a Computer Science Specialist with advanced Python skills to join its remote team based in Stuttgart, Baden-Württemberg, Germany. This role centers on supporting AI-driven projects that serve a global audience. Key Responsibilities Design and improve artificial intelligence solutions using Python Collaborate with fellow specialists on projects with worldwide impact Tackle challenging technical problems in the AI domain Make meaningful contributions to projects with practical applications About Toloka-AI Toloka-AI develops products powered by artificial intelligence, aiming for broad global use and tangible results. The company emphasizes teamwork and a commitment to technical quality in every initiative.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects experienced specialists with project-based AI work for technology companies. Assignments focus on testing, evaluating, and improving AI systems. This freelance, project-based position does not offer permanent employment. Role overview As a Freelance AI Evaluation Engineer, the primary focus is building a dataset to assess AI coding agents using real-world developer tasks. The work involves designing detailed tasks and evaluation methods in realistic simulated environments. Main responsibilities Create virtual companies from high-level plans, including codebases, infrastructure, and realistic context such as conversations, documentation, and tickets that reflect authentic development history. Develop and refine tasks for different stages of the virtual company. This includes writing prompts, setting evaluation criteria, and ensuring tasks are solvable and assessments are fair. Design assignments for isolated environments that mimic a developer's workstation, using a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation), and a real web application codebase. Build tests that accept all valid solutions and reject incorrect ones, aiming for balanced strictness. Work with an AI agent to confirm that tests detect real issues, do not overlook errors, and validate correct solutions. Review code generated by agents, analyze why solutions succeed or fail, and invent edge cases and adversarial scenarios. Incorporate feedback from expert QA reviewers to improve your work and meet quality standards. Scope clarifications This position does not include data labeling. This position does not cover prompt engineering. Writing code from scratch is not required. The AI agent handles most coding; your focus is on guidance and evaluation. Much of the work involves collaborating directly with AI systems, as designing challenges for advanced models requires hands-on interaction with those models.

Toloka AI seeks a Freelance Legal Consultant with a strong background in US law to help train AI systems. This remote role is open to candidates based in Stuttgart, Baden-Württemberg, Germany, and offers flexible work arrangements. Key responsibilities Use expertise in US legal concepts to enhance AI training processes Work closely with technical teams to advise on AI application development Review legal content and provide detailed feedback for AI model improvement Requirements Deep understanding of US law Proven ability to interpret and clearly explain legal concepts Comfortable working independently in a remote environment

Toloka AI seeks a Freelance English Writer and AI Trainer to join its remote team. This contract position is open to candidates based in Stuttgart, Baden-Württemberg, Germany, but all work can be completed remotely. Role overview This role centers on supporting AI projects that require strong English writing and language abilities. The work involves both content creation and helping AI systems better understand natural language. What you will do Write and edit English-language content for use in AI training Contribute to projects aimed at improving AI's language understanding Collaborate with the Toloka AI team to achieve project objectives Location Remote work is available. The position is based in Stuttgart, Baden-Württemberg, Germany, but candidates may work from anywhere.

Toloka AI seeks a Freelance Junior Journalist to contribute to AI training projects. This position is remote, based in Stuttgart, Baden-Württemberg, Germany. The main focus is on creating and refining training data that supports the development of artificial intelligence systems. Key responsibilities Research topics in AI and technology to inform project work Write and edit content used in training data sets Curate materials that help AI systems better understand and interact with users Work collaboratively with a distributed team committed to improving AI capabilities Work environment This freelance, remote role involves working alongside colleagues from diverse backgrounds. The team shares a commitment to making AI more effective and accessible.

Toloka AI seeks a Freelance Mathematics Expert for remote contract work based in Stuttgart, Baden-Württemberg, Germany. This role centers on applying advanced mathematical concepts to support ongoing AI training projects and improve algorithm performance. Key responsibilities Use mathematical methods to develop and refine AI algorithms Contribute expertise to projects focused on advancing intelligent systems Collaborate with a distributed team of AI professionals Collaboration and work environment This position offers the chance to work remotely with colleagues from varied backgrounds. Sharing mathematical expertise is central to shaping new AI technologies as part of a global team.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python programming. This remote role is based in Stuttgart, Baden-Württemberg, Germany. Role overview This position centers on using knowledge of biological sciences and Python to support the development and improvement of AI training programs. The work involves applying subject matter expertise to help shape AI solutions in the life sciences. What you will do Apply biology and programming skills to design and refine AI training materials Contribute to projects that advance AI applications in scientific fields Requirements Expertise in biology Proficiency in Python Interest in AI development

Mindrift offers project-based roles for experienced supply chain professionals interested in AI training. This freelance position connects specialists with AI projects for leading technology companies. The work is remote and based in Stuttgart, Baden-Württemberg, Germany. This is not a long-term employment role; instead, it focuses on short-term, targeted contributions to specific AI initiatives. Role overview This role centers on creating and evaluating realistic supply chain disruption scenarios, drawing on practical experience in manufacturing and procurement. Tasks include outlining possible disruptions such as supplier delays, order changes, logistics challenges, or quality failures. For each scenario, you will define expected outcomes and propose effective mitigation strategies. Another key part of the job involves assessing AI-generated responses. You will check these outputs for accuracy, completeness, and practical relevance to real business situations, especially within ERP systems like Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Structured data creation and validation are also part of the responsibilities, following detailed guidelines. Requirements Minimum 4 years of experience in procurement, supply chain management, or purchasing (preferably in manufacturing) Strong knowledge of procurement workflows: purchase orders, vendor management, inventory control, and production planning Hands-on experience with ERP platforms such as SAP, Oracle, or Microsoft Dynamics 365 Ability to design and justify disruption scenarios and mitigation strategies Understanding of disruption types: delays, shortages, quality issues, and logistics challenges Familiarity with Incoterms and logistics management Knowledge of Bill of Materials (BOM) structures and production planning methods Experience with supplier performance metrics (On-Time In-Full, lead times, quality scores) Analytical skills to evaluate AI outputs against business logic Background in data validation, structured data entry, or annotation Clear written communication in English How to join Apply Pass qualifying assessments Join a project Complete assigned tasks Receive payment Project commitment During active project phases, work typically ranges from 10 to 20 hours per week. Actual hours may vary depending on project needs and are not guaranteed. Compensation Contributors may earn up to $60 per hour, based on expertise and project contributions.

Please submit your CV in English and include your English proficiency level. About Mindrift Mindrift connects skilled specialists with project-based AI work for major technology companies. The focus is on testing, evaluating, and improving AI systems. This is a project-based contract, not a permanent position. Role Overview As an Optical Engineer specializing in Python for AI training, work centers on developing and validating computational physics challenges that support AI research. Tasks may include: Designing original computational physics problems that mirror real research workflows Writing problems that require Python programming to solve, using tools such as Numpy, SciPy, and Sympy Ensuring challenges are computationally intensive and not solvable by hand within a reasonable timeframe Developing complex problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on real research questions or practical applications in physics Validating solutions in Python with standard physics simulation libraries Documenting problem statements and providing verified solutions Who Should Apply This project suits optical engineers with strong Python skills who are interested in flexible, part-time work. The ideal candidate has: A degree in Physics (theoretical, experimental, computational) or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or other programming languages is also welcome At least 2 years of professional experience in applied, research, or teaching roles Background in numerical simulation methods Experience designing problems that reflect real physics research Creative problem-solving skills across physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills (C1 level or higher) Workflow Apply Complete qualification steps Join a project Carry out assigned tasks Receive payment Time Commitment During active project phases, expect to spend approximately 10–20 hours per week. Actual workload may vary depending on project requirements and timing. Compensation Earn up to $45 per hour, depending on expertise and pace. Rates may differ for other projects on the platform according to their complexity and requirements. Location This is a remote role based in Stuttgart, Baden-Württemberg, Germany.

This freelance, remote role is open to candidates based in Stuttgart, Baden-Württemberg, Germany. Toloka connects skilled individuals with online projects that support artificial intelligence development. Annotators and trainers contribute to generative AI projects for leading technology companies, helping improve the quality and accuracy of AI systems. Role overview Freelance AI Trainers and Annotators (English) play a key part in evaluating and labeling data for AI training. Assignments may include reviewing AI-generated content, checking for factual accuracy, or comparing different responses. The types of tasks available will change according to current project needs and your profile. What you will do Review and assess data, including text, images, and videos Label or categorize content following specific project guidelines Identify and report materials that are factually incorrect, sensitive, inappropriate, or unclear Project details This is a project-based freelance position. Tasks are assigned when projects are active. Participation depends on your profile and current opportunities available through Toloka. Compensation Compensation varies by project. AI trainers can earn up to $22 per hour. How to apply Submit your resume in English and include your English proficiency level.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based AI work for leading technology companies. The focus is on testing, evaluating, and improving AI systems. This role is project-based and does not offer permanent employment. Role overview The Freelance AI Trainer - Research Physicist collaborates with Mindrift to support AI development by designing and documenting advanced physics problems. Each project introduces new challenges and tasks may include: Creating original optics problems that reflect real-world research workflows Ensuring problems require computational approaches rather than only manual calculations Developing challenges in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on actual research questions or practical scenarios in optics and physics Writing clear problem statements and providing verified solutions Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related discipline Minimum 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that mirror real research processes Creative problem-solving skills across physics topics Knowledge of physics modeling and approximation methods Strong written English skills at C1 level or higher How to apply Apply Pass the qualification process Join a project Complete assigned tasks Receive compensation Time commitment Project periods typically require a commitment of 10 to 20 hours per week. Actual hours may vary depending on project needs. This estimate does not guarantee a specific workload. Compensation Earnings can reach up to $45 per hour, depending on expertise and contribution speed. Compensation varies by project based on scope, complexity, and required skills. Other projects on the Mindrift platform may offer different rates depending on requirements. Location: Remote , Stuttgart, Baden-Württemberg, Germany

Mindrift partners with technology leaders to connect specialists to AI projects worldwide. For the Tendem project (https://tendem.ai/), the focus is on building intelligent automation systems that combine Large Language Models (LLMs) with human expertise. The aim is to create scalable workflows that improve content generation, communication, and automation. Role overview This is a part-time, remote contract role as a Freelance AI Workflow Engineer (also known internally as "AI Pilot") for the Tendem project. The main focus is designing and refining LLM-powered workflows. Collaboration with Tendem Agents is central, with the goal of managing repetitive tasks and developing automation solutions. The work includes prompt engineering, workflow design, and quality control to ensure reliable results. Key responsibilities Design and evaluate workflows that use LLM APIs such as OpenAI, Claude, Gemini, or similar tools. Build and enhance AI automation systems for content generation, enrichment, and communication tasks. Develop and improve prompt frameworks to achieve consistent, high-quality outputs. Create systems for personalized automated outreach, including email and messaging flows, as well as lead enrichment. Structure and preprocess data to support stable model performance and trustworthy results. Analyze and optimize AI-driven pipelines for scalability, efficiency, and accuracy. Who this role suits This contract is well suited to those with hands-on experience in LLM integrations, prompt design, and automating AI systems. Structured thinking and a focus on quality are important. The position is remote and based in Stuttgart, Baden-Württemberg, Germany, but candidates can work from anywhere.

Please submit your CV in English and specify your English proficiency level. Mindrift, in partnership with toloka-ai, offers project-based freelance work for experienced data scientists. This role centers on testing, evaluating, and enhancing AI systems for leading technology companies. All assignments are project-based, not permanent employment. Key Responsibilities Design original data science challenges that reflect analytical work from sectors like telecom, finance, government, e-commerce, and healthcare. Create tasks requiring advanced Python programming, using libraries such as Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Develop problems that require significant computational effort, making manual solutions impractical. Formulate scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights. Ensure each challenge is deterministic and reproducible, using fixed random seeds when needed. Base tasks on real business needs, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Build end-to-end challenges covering the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include scenarios that require scalable computational methods for large datasets. Validate solutions in Python using standard data science libraries and statistical techniques. Write clear documentation for each problem, providing business context and verified solutions. Requirements Minimum 5 years of hands-on data science experience with measurable business outcomes. Portfolio of completed projects or publications showing real-world problem-solving. Advanced Python programming skills for data science (pandas, numpy, scipy, scikit-learn, statsmodels). Expertise in statistical analysis and machine learning, with strong knowledge of algorithms and methodologies. Proficient SQL skills for data analysis and manipulation. Familiarity with GenAI technologies, including LLMs, RAG, prompt engineering, and vector databases. Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Strong written English skills at C1 level or higher. How to Get Started Apply Complete qualification(s) Join a project Finish assigned tasks Receive compensation Location: Remote , Stuttgart, Baden-Württemberg, Germany

Please submit your CV in English and indicate your English proficiency level. This Senior Python Systems Developer role is a project-based, freelance opportunity with Toloka AI (via Mindrift), supporting top technology companies in testing and improving AI systems. The position is remote and based in Stuttgart, Baden-Württemberg, Germany, but open to candidates working from anywhere. Role overview This position centers on building and maintaining functional black box tests for large and diverse codebases. Responsibilities include managing Docker environments, using language models to interpret code in C, Rust, and Go, and translating migration requirements into actionable development tasks. Tools such as Roo Code and Claude Code are used to streamline workflows and automate repetitive tasks. What you will do Design and implement functional black box tests for projects written in multiple programming languages. Set up and manage Docker environments to ensure reproducible builds and consistent testing across platforms. Monitor code coverage and automate scoring to meet industry standards. Apply large language models (LLMs) like Roo Code and Claude to accelerate development, automate routine work, and enhance code quality. Requirements Minimum 5 years of experience as a Software Engineer, with a strong focus on Python. Deep knowledge of pytest, including fixtures, session-scoped testing, timeouts, and black box functional test design for CLI tools. Advanced experience with Docker: writing reproducible Dockerfiles, managing user contexts, and securing workspaces. Expertise in Linux and Bash scripting, including debugging within containers. Familiarity with modern Python tooling (uv, pyproject.toml, packaging). Ability to read and understand code in C, C++, Rust, or Go with the help of LLMs. Hands-on experience using LLMs (Claude Code, Roo Code, Cursor) to speed up development and generate tests. English proficiency at B2 level or higher. Preferred qualifications Background with agent evaluation platforms and MCP CLI. Key tools & technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (for code reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Benefits & work arrangement Freelance, project-based contract through Mindrift (powered by Toloka AI). Fully remote position with flexible scheduling. Work 20-30 hours per week and set your own hours. Compensation varies by project and experience, with potential earnings up to $50 per hour for this engagement.

Please submit your CV in English and include your English proficiency level. About Mindrift Mindrift connects specialists with project-based AI work at leading technology companies. Projects focus on improving, evaluating, and testing AI systems. This is a project-based, non-permanent role. Role Overview As a Freelance AI Trainer (Research Physicist with Python Skills), each project brings new challenges. Tasks may include: Designing computational physics problems that mirror real research workflows Creating challenges that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy Ensuring problems are computationally intensive and not easily solved by hand Developing problems that demand complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing challenges on real research questions or practical applications in physics Validating solutions in Python with established physics simulation libraries Documenting problem statements clearly and providing verified answers Desired Qualifications Degree in Physics (Theoretical, Experimental, or Computational) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also considered At least 2 years of professional experience (applied, research, or teaching) Familiarity with numerical simulation methods Ability to design problems reflecting authentic physics research Creative problem-solving skills across physics domains Understanding of physics modeling and approximation techniques Excellent written English (C1+ level) How Projects Work Submit your application Pass qualification steps Join a project Complete assigned tasks Receive payment Project Commitment Estimated workload is 10–20 hours per week during active project phases. Actual hours may vary depending on project needs, and no specific workload is guaranteed. Compensation Contributors may earn up to $45 per hour, depending on expertise and pace. Rates can vary by project based on scope, complexity, and required qualifications. Other projects on the platform may offer different compensation levels. Location This role is remote and open to candidates based in Stuttgart, Baden-Württemberg, Germany.

Please submit your CV in English and highlight your proficiency in the language. About Mindrift Mindrift connects skilled specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. Participation is on a freelance, project-by-project basis, not permanent employment. Role Overview: Quantum Research Scientist with Python – Freelance AI Trainer This freelance role involves contributing to unique projects that challenge and expand AI capabilities in computational physics. Each assignment brings new tasks, including: Designing advanced computational physics problems that mirror real research workflows Creating challenges requiring Python programming, using tools such as Numpy, SciPy, and SymPy Ensuring problems are computationally intensive and not solvable manually within days or weeks Developing problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Drawing inspiration from real research challenges or practical physics applications Verifying solutions with Python and standard physics simulation libraries Documenting problem statements clearly and providing verified solutions Who Should Apply This project suits quantum researchers with strong Python skills seeking part-time, non-permanent work. The ideal background includes: Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation (skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar domain-specific libraries are also valued) At least 2 years of professional experience in applied research, teaching, or related areas Experience with numerical simulation methods Ability to design problems that reflect authentic physics research workflows Creative problem-solving across various physics domains Familiarity with physics modeling and approximation techniques Strong written English communication skills (C1+ level) How Projects Work The process follows these steps: Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time Commitment Projects typically require about 10–20 hours per week during active phases, depending on current needs. This is an estimate, not a guaranteed workload. Compensation Contributors can earn up to $45 per hour, depending on expertise and contribution speed. Actual rates vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation levels. Location This is a remote freelance role based in Stuttgart, Baden-Württemberg, Germany.

This freelance Optical Engineer role with Toloka AI (remote, based in Stuttgart, Baden-Württemberg, Germany) offers the chance to contribute expertise to project-based AI initiatives. Work is organized through Mindrift, connecting specialists with assignments that help advance AI systems for major technology clients. This is a project-based contract, not a permanent staff position. Role overview The focus is on applying optical engineering knowledge to AI projects. Assignments involve developing original problems and challenges that reflect real-world research in optics and physics. Tasks are designed to require computational rigor and advanced reasoning, rather than simple manual solutions. Key responsibilities Create optics problems modeled on authentic physics research processes Design challenges that demand advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Ensure each task emphasizes computational methods Base problems on real research questions or practical applications in optics and physics Write clear, precise problem statements and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that mirror real research workflows Creative approach to developing problems across multiple physics domains Understanding of physics modeling and approximation methods Strong written English skills (C1+ level) How to apply Submit an application Complete the required qualifications Join a project Carry out assigned tasks Receive compensation Please provide your CV in English and state your English proficiency level. Project details and time commitment Project work usually calls for 10–20 hours per week during active phases. Actual hours may shift based on project requirements. Compensation Contributors can earn up to $45 per hour, depending on experience and pace. Pay rates may vary with project complexity, scope, and skills needed. Other projects on the platform may offer different rates based on their specific needs.