Civil Engineer & Python Specialist - Freelance AI Trainer

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 specify your English proficiency level. This freelance role connects experienced Python developers with project-based work in AI system assessment, testing, and improvement. Mindrift, in partnership with toloka-ai, matches skilled professionals to assignments at leading technology companies. The engagement is not permanent but offers flexibility and remote work, based in Stuttgart, Baden-Württemberg, Germany or remotely. Role overview The Senior Python Developer - Code Migration Expert focuses on interpreting requirements, designing migration tasks, and using LLM-powered tools (such as Roo Code and Claude Code) to streamline development. The position calls for strong skills in functional testing, Linux, and Docker. Comfort with reading code in languages like C, Rust, and Go (with LLM support) is important. Main responsibilities Develop functional black box tests for large codebases in various languages. Create and manage Docker environments to ensure reproducible builds and test runs across platforms. Track code coverage and implement automated scoring to meet industry standards. Use LLMs (Roo Code, Claude) to accelerate development, automate repetitive work, and improve code quality. Requirements Minimum 5 years of experience as a Software Engineer, focusing on Python. Expertise with pytest, including fixtures, session-scope, timeouts, and black-box functional test design for CLI tools. Advanced Docker skills: building reproducible Dockerfiles, managing user contexts, and maintaining secure workspaces. Strong command of Linux and Bash scripting, including debugging inside containers. Familiarity with modern Python tooling (uv, pyproject.toml, packaging). Ability to read and understand multiple programming languages (such as C, C++, Rust, or Go) with LLM assistance. Experience using LLMs (Claude Code, Roo Code, Cursor) for faster development cycles and generating test cases. English proficiency at B2 level or higher. Preferred qualifications Experience with agent evaluation platforms and MCP CLI. Tools and technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, reading C/C++/Rust/Go, Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Benefits and work arrangement Freelance, project-based collaboration through the Mindrift platform (powered by Toloka AI). Fully remote work with flexible hours, typically 20-30 hours per week. Compensation per project depends on scope and expertise; AI trainers may earn up to $50 per hour equivalent.

Join Bosch Group as an intern in Full Stack Development, focusing on innovative laser prototypes. This role offers a unique opportunity to work with technologies such as C#, XAML, and Python. You will collaborate with experienced developers, engage in hands-on projects, and contribute to cutting-edge solutions in the field.

As a Senior Manager of Systems Engineering in the EPCM industry, you will lead complex projects, ensuring that systems engineering processes are effectively implemented and aligned with business strategies. You will play a crucial role in managing multidisciplinary teams, driving innovation, and enhancing project outcomes. Your expertise will be pivotal in optimizing engineering processes and fostering collaboration across departments.

Please submit your CV in English and include your English proficiency level. Mindrift connects specialists with project-based AI work for major technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a contract position, not a permanent role. Role overview This Optical Engineer position focuses on developing and validating computational physics challenges to support AI research. The work involves designing original problems that reflect real research workflows in physics, especially those requiring Python programming to solve. Tasks may include: Creating computational physics problems based on real research questions or practical applications Writing problems that require Python solutions, 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 Validating solutions in Python with standard physics simulation libraries Documenting problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or 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 about 10–20 hours per week. Workload may vary depending on project needs and timing. Compensation Earn up to $45 per hour, depending on expertise and pace. Rates for other projects on the platform may differ based on complexity and requirements. Location This is a remote role based in Stuttgart, Baden-Württemberg, Germany.

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.

Mindrift is looking for a Freelance Python Data Scraping Engineer to join its remote team, supporting projects from Stuttgart, Baden-Württemberg, Germany. This part-time, freelance position centers on the Tendem project, where engineers contribute as "AI Pilots" to streamline and improve data workflows. Role overview This role focuses on extracting, processing, and validating data from complex and dynamic web sources. The engineer collaborates with Tendem Agents, applying analytical skills and domain expertise to ensure data is accurate and relevant. Work is fully remote and designed for professionals with a strong background in web scraping and data processing. What you will do Lead data extraction projects on complex websites, delivering structured datasets that meet quality standards. Use internal tools such as Apify and OpenRouter, along with custom workflows, to collect, verify, and process data according to project needs. Develop and refine scraping methods for dynamic and interactive sites, including those with JavaScript-rendered content or frequent changes. Maintain high data quality through validation checks, consistency controls, formatting compliance, and systematic verification. Optimize large-scale scraping using batching or parallel processing, and build resilience against minor site structure changes. Requirements Minimum 3 years of hands-on experience in data engineering, web scraping, and automation. Compensation Contributors can earn up to $32 per hour, depending on project complexity, performance, and expertise. Actual rates may vary between projects. How to apply Submit an application through the provided link. Qualified candidates are matched with projects that suit their technical strengths and can set their own schedules. Work includes programming, automation, and refining AI outputs, supporting the practical use of AI in real-world scenarios.

Join our innovative INSPO team as a Senior Backend Infrastructure Developer. In this role, you will leverage your expertise to design and implement robust backend solutions that support our growing infrastructure. Collaborate with cross-functional teams to ensure seamless integration and optimization of our systems, all while enjoying the flexibility of remote work.

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

Please submit your CV in English and indicate your English proficiency level. toloka-ai, working with Mindrift, connects data science professionals to project-based contract work in AI. Assignments support technology companies as they develop, test, and evaluate AI systems. This is not a permanent employment role; work is structured around specific projects. Role overview Design computational data science problems that mirror analytics workflows in industries such as telecom, finance, government, e-commerce, and healthcare. Create problems requiring Python programming, using libraries like Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure challenges are computationally intensive, with solutions that would take significant manual effort. Develop scenarios involving complex data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Write deterministic problems with reproducible outcomes by avoiding randomness or using fixed seeds. Base challenges on real business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end data science tasks covering data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Include big data scenarios that require scalable computational solutions. Validate solutions in Python using standard data science libraries and statistical techniques. Document each problem clearly, provide realistic business context, and supply verified correct answers. Requirements Minimum 5 years of hands-on data science experience with demonstrated business impact. Portfolio of completed projects or publications showing practical problem-solving. Advanced Python programming for data science, including Pandas, Numpy, Scipy, Scikit-learn, and Statsmodels. Strong background in statistical analysis and machine learning, with knowledge of key algorithms and applications. Solid SQL skills for data manipulation and analysis. Familiarity with GenAI tools and concepts (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Experience with frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English (C1+ level). Application process Apply Pass qualifications Join a project Complete tasks Receive compensation This freelance, remote position is open to candidates based in Stuttgart, Baden-Württemberg, Germany, as well as those working remotely.

Join our team at Bosch Group as an intern at our cutting-edge ADAS (Advanced Driver Assistance Systems) Robot Testing Facility in Stuttgart. This internship provides an excellent opportunity for hands-on experience in the development and testing of innovative automotive technologies. You will work alongside industry experts, contributing to projects that enhance vehicle safety and automation.

Please submit your CV in English and indicate your level of English proficiency. toloka-ai, through Mindrift, offers project-based roles for specialists interested in AI system development and evaluation. This freelance position focuses on mathematics and Python, and is not a permanent role. Role overview As a Mathematics & Python Specialist - Freelance AI Trainer, each project centers on developing and validating computational mathematics problems. Tasks vary by project and may include: Designing original computational mathematics problems that reflect real research workflows Creating problems requiring Python programming solutions, often using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive, taking days or weeks to solve manually Formulating challenges involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real research scenarios or practical mathematical applications Verifying solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing validated answers Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, specialized libraries, Stata, or other programming languages is also valued At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to create problems simulating real mathematical research workflows Familiarity with computational complexity theory Strong written English skills (C1+ level) Project workflow The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation. Time commitment Projects may require around 10–20 hours of work per week during active phases. Actual workload depends on project needs and is not guaranteed. Compensation Contributors can earn up to $45 per hour, depending on experience and pace. Compensation varies by project scope, complexity, and expertise required. Other projects on the platform may offer different rates based on their specific requirements.

Please submit your CV in English and indicate your English proficiency level. Mindrift offers freelance, project-based work connecting specialists with AI projects for leading technology companies. Most assignments focus on testing, evaluating, and improving AI systems. These roles are not permanent positions but provide flexible, remote opportunities for professionals seeking part-time engagement. Role overview This freelance AI Trainer position centers on materials science and Python programming. Contributors join projects that bring a range of technical challenges, often requiring a blend of engineering knowledge and computational problem-solving skills. Design original materials engineering problems that mirror real-world workflows Create Python programming challenges for engineering calculations and simulations Develop problems that require computational effort, such as numerical methods or iterative solutions Build scenarios in system design, optimization, and analysis Base challenges on real research or practical engineering applications Validate solutions in Python using standard engineering libraries Document problems clearly and supply verified, correct answers Requirements Degree in Material Science or a related field Proficiency in Python for numerical validation; experience with tools like MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata is a plus Minimum two years of professional experience (applied, research, or teaching) Solid understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Project workflow Application Qualification pass Project engagement Task completion Compensation Time commitment Active project phases typically require 10–20 hours per week. Actual workload varies based on project needs. Compensation Earnings can reach up to $45 per hour, depending on contribution and pace. Rates differ by project and reflect scope, complexity, and required expertise. Other Mindrift projects may offer different compensation structures. Location This is a remote contract role. Applicants based in Stuttgart, Baden-Württemberg, Germany are encouraged to apply, though the position is open to candidates in other locations as well.

About the Role ebreuningergmbhco is looking for a Senior Full Stack Developer to help build and improve applications that support our business and customers. This position is based in Stuttgart. What You Will Do Develop and maintain both front-end and back-end features for web applications Work closely with team members to deliver user-friendly solutions Contribute to projects that improve user experience and support business goals What We Are Looking For Experience with both front-end and back-end development Ability to design and implement reliable, maintainable code Strong problem-solving skills and attention to detail This is a senior-level role for candidates who want to make an impact on application development at ebreuningergmbhco.

Please submit your CV in English and specify your English language proficiency. Mindrift offers project-based roles for professionals interested in supporting AI development at major technology companies. These freelance opportunities focus on testing, evaluating, and improving AI systems. Participation is temporary and does not constitute full-time employment. Role overview This freelance position centers on creating and validating computational chemistry problems that reflect real-world research tasks. Contributors design challenges that require Python programming, often using libraries such as NumPy, SciPy, or specialized chemistry packages. Problems should be computationally intensive, requiring more than manual calculation, and may involve areas like physical chemistry, quantum chemistry, or molecular modeling. Tasks also include documenting problem statements and providing accurate, verified solutions using established computational chemistry methods. Requirements Degree in Chemistry or a closely related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar tools is also welcome At least 2 years of professional experience in applied, research, or teaching roles Experience applying numerical methods in chemistry Understanding of computational chemistry concepts and practices Strong English writing skills at C1 level or higher Project workload Active project phases typically require around 10–20 hours per week. Actual workload may vary depending on the specific project and its requirements. This estimate applies only during active project periods and is not a guaranteed minimum or maximum. Compensation Earnings can reach up to $45 per hour, depending on expertise and pace. Compensation varies by project scope, complexity, and required qualifications. Other projects on the Mindrift platform may offer different rates based on their needs. Application process Submit your application Complete qualification steps Join a project Carry out assigned tasks Receive compensation

Company Overview: Terry Soot Management Group (TSMG) is a premier data collection enterprise established in 2017 across Europe. Our core expertise lies in gathering data where human observation remains indispensable, complementing automation. We operate globally, delivering precise data-driven insights through our adaptable teams across Europe, North America, and Asia.Role Overview: We are seeking a dedicated T1 Certified Autonomous Vehicle Test Operator to engage in the operation and assessment of autonomous vehicles in dynamic environments. This role encompasses real-time monitoring of vehicle performance, feedback reporting, and occasional manual driving tasks. Possessing a T1 certification is crucial, as it demonstrates knowledge of autonomous systems and adherence to safety protocols.

This freelance, project-based role with Mindrift connects electrical engineers and Python specialists to remote AI training projects. Projects are based in Stuttgart, Baden-Württemberg, Germany, but work is fully remote. Mindrift specializes in testing, evaluating, and improving AI systems for leading technology companies. Role overview Contributors design and validate computational engineering challenges that support AI training. Each project introduces new tasks. Typical responsibilities include: Creating computational engineering problems modeled on real-world workflows Developing challenges that require Python programming for calculations and simulations Ensuring problems are computationally intensive, using numerical methods or iterative solutions Focusing on system design, optimization, and analysis within problem sets Formulating challenges based on authentic research questions or practical engineering scenarios Validating solutions using Python and standard engineering libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Electrical Engineering or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued At least 2 years of professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Strong written English skills (C1 level or above) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks usually require about 10 to 20 hours per week. Actual workload may vary by project and is not guaranteed. Compensation Contributors can earn up to $50 per hour, depending on expertise and pace. Rates may differ across projects based on scope, complexity, and required skills. Other projects on the platform may offer different rates according to their specific requirements. To apply, please submit your CV in English and specify your English proficiency level.

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. Mindrift connects specialists with project-based freelance roles focused on advancing AI systems for major tech companies. Projects involve testing, evaluating, and improving AI capabilities. This is a freelance, project-based position, not a permanent job. Role overview This freelance Physics Specialist position centers on designing and validating computational physics problems for AI projects. Assignments often involve: Creating physics problems that mirror real research workflows Developing challenges that require Python programming to solve, often using libraries like Numpy, SciPy, or Sympy Ensuring problems are computationally intensive and not easily solved by hand Covering areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing tasks on real research issues or practical physics applications Validating solutions using Python and standard simulation libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or relevant libraries is a plus At least 2 years of professional experience, such as research or teaching Background in numerical simulation methods Ability to design problems reflecting real research workflows in physics Creative problem-solving across multiple physics domains Familiarity with modeling and approximation techniques Written English at C1 level or higher How projects work Apply Complete qualification steps Join a project Work on assigned tasks Receive compensation Time commitment During active project periods, tasks typically require 10–20 hours per week. Workload may fluctuate based on project needs, and there is no guaranteed minimum number of hours. Compensation Contributors may earn up to $45 per hour, depending on expertise and project complexity. Actual rates and earning potential can vary between assignments.