Statistics & Python Specialist - Freelance AI Trainer

Anyone AI is seeking experienced software engineers in Germany for a part-time, project-based role supporting a leading AI research lab. This position centers on expert evaluation and allows for fully remote work within Germany. Key responsibilities Design and complete multi-file coding tasks, such as bug fixes, new features, refactoring, and testing Write detailed specifications in natural language and supply reference implementations Develop and enhance unit and integration test suites Review tasks created by peers for accuracy, clarity, and realism Identify edge cases, ambiguities, and potential failure points Verify alignment between specifications, code, and expected outcomes Requirements Exceptional written English 3–7 years of professional software engineering experience Strong skills in Python and JavaScript or TypeScript; familiarity with Java, C#, or Go is a plus Experience in backend or full-stack development for production systems Comfort with testing frameworks like pytest, Jest, JUnit, xUnit, or Go testing tools Advanced debugging abilities in large, multi-file codebases Background in code reviews, refactoring, and handling production migrations What success looks like Consistently delivers production-ready code and thorough documentation Work arrangement Part-time, project-based contract Remote within Germany

Anyone AI is seeking Backend Developers to join project-based consulting work with a prominent AI research lab. This remote, part-time role centers on designing and evaluating realistic software engineering tasks for AI training, with a focus on backend systems. Role overview As a Backend Developer – AI Trainer, the position involves crafting and reviewing coding scenarios that mirror real-world engineering challenges. Typical tasks include bug resolution, feature implementation, refactoring, and test creation. The work will also require reviewing peer submissions to ensure they meet quality standards. What you will do Create and implement multi-file coding tasks, including bug fixes, new features, refactoring, and test generation. Draft clear, natural language specifications and provide reference implementations. Develop and expand unit and integration test suites. Review peer-generated tasks for accuracy, clarity, and feasibility. Identify edge cases, ambiguities, and potential failure points. Ensure specifications, code, and outputs remain consistent and aligned. Requirements Professional fluency in written English and strong communication skills. 3 to 7 years of hands-on experience in software engineering. Advanced knowledge of Python and JavaScript or TypeScript, plus working familiarity with Java, C#, or Go. Experience in backend or full-stack development in production environments. Proficiency with testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing tools. Ability to debug and work within large, multi-file codebases. Comfort with code reviews, refactoring, and production migrations. Engagement details Part-time, project-based consulting Remote work Location: Germany Expected outcomes Deliver high-quality, production-ready outputs for AI training and evaluation.

Join Anyone AI as a talented Full-Stack Developer and collaborate on groundbreaking projects with a premier AI laboratory.Qualifications:Fluent in professional written English3 to 7 years of hands-on experience in software engineeringExpertise in Python and JavaScript/TypeScript, with familiarity in Java, C#, or GoExperience in backend or full-stack development within production environmentsFamiliarity with testing frameworks such as pytest, Jest, JUnit, xUnit, and Go testingProven track record of debugging and navigating extensive codebasesExperience in code reviews, refactoring, and production migrationsEngagement: This is a part-time, project-based consultancy role.Work Type: RemoteAs a contributor, you will design and evaluate authentic software engineering tasks, focusing on bug fixing, feature development, refactoring, and test generation. Your role involves crafting intricate coding scenarios and assessing peer submissions for quality and precision.Responsibilities:Create and implement multi-file coding tasks for bug fixes, feature enhancements, refactoring, and testingProduce clear, natural-language specifications and reference implementationsExpand and maintain unit and integration test suitesReview tasks generated by peers for correctness, clarity, and realismIdentify edge cases, ambiguities, and potential failure scenariosEnsure that specifications, code, and expected outputs are alignedExpected Outcomes:Deliver high-quality, production-ready coding tasks

Toloka AI seeks a freelance AI trainer with experience in mechanical engineering and Python programming. This contract position is fully remote and open to candidates based in Germany. Role overview This role centers on developing and presenting training materials related to AI, with a focus on practical applications in mechanical engineering and Python. The aim is to help both individuals and organizations strengthen their ability to use AI technology effectively. What you will do Create training content that connects AI concepts to real-world mechanical engineering problems and Python solutions Deliver sessions that build hands-on skills for applying AI tools and methods Location This is a remote position for candidates located in Germany.

Mindrift partners with the Tendem project to combine AI technology and human expertise for building and optimizing automation workflows. This freelance role focuses on advancing automation by designing, refining, and supporting processes that reduce repetitive manual tasks. Role overview This is a remote, part-time freelance position based in Stuttgart, Baden-Württemberg, Germany. Mindrift calls this role an AI Pilot. The main focus is on developing and improving automation processes that increase efficiency, scalability, and reliability. Collaboration with Tendem Agents is central to the work, ensuring smooth integration between AI and human-driven systems. Key responsibilities Develop and refine automation workflows using Make.com and n8n Customize solutions with JavaScript to address project needs Work alongside human agents to identify and automate repetitive processes Support integration of AI and human-driven systems for seamless operations Requirements Experience with low-code automation platforms such as Make.com and n8n Strong JavaScript skills for workflow customization Background in workflow architecture and automation best practices Comfort working in a collaborative environment that blends AI and human input Position details Part-time, freelance contract Remote work based in Stuttgart, Baden-Württemberg, Germany

Toloka AI is looking for a freelance AI Trainer who combines civil engineering expertise with strong Python programming skills. This role is remote, with a focus on projects based in Stuttgart, Baden-Württemberg, Germany. Role overview This position centers on using civil engineering knowledge alongside Python to help shape AI systems. The work involves both technical input and collaboration with others on the team. What you will do Use civil engineering experience and Python programming to contribute to AI system development Work with colleagues to enhance and fine-tune artificial intelligence projects Offer training and technical support for ongoing AI efforts Location This is a remote freelance role, connected to Stuttgart, Baden-Württemberg, Germany.

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.

Role Overview anyone-ai is seeking a Backend Developer focused on AI training. This position centers on building and maintaining backend systems that power advanced AI technologies. The work supports the development and refinement of machine learning models. What You Will Do Develop backend systems that enable AI research and model training Work closely with the AI research team to improve machine learning models Help enhance and maintain training datasets for quality and reliability Location This role is based in 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.

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

Please submit your CV in English and highlight your proficiency in the language. Mindrift connects specialists with project-based AI work for leading technology companies. Projects center on testing, evaluating, and improving AI systems. All work is freelance and organized on a per-project basis, not as permanent employment. Role overview This freelance position focuses on developing and evaluating challenging computational physics problems for AI training. Assignments vary and may include: Designing advanced problems that reflect real research workflows in physics Creating tasks that require Python programming, using libraries such as Numpy, SciPy, and SymPy Ensuring problems are computationally intensive and cannot be solved manually within days or weeks Developing scenarios involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Drawing on actual research challenges or practical applications in physics Verifying solutions using Python and standard simulation libraries Clearly documenting problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also valued At least 2 years of professional experience in applied research, teaching, or related areas Background in numerical simulation methods Ability to design problems that mirror authentic research workflows in physics Creative problem-solving across multiple physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or higher Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment Projects typically require 10–20 hours per week during active phases. Actual workload may vary depending on project needs. Compensation Contributors can earn up to $45 per hour, depending on expertise and speed. 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.

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

Role Overview machinelearningreply is looking for an Agentic AI Software Engineer to join the team in Munich, Bayern. This role centers on building intelligent, production-ready systems using large language models (LLMs), autonomous agents, and scalable cloud infrastructure. The position involves close collaboration with clients to deliver practical AI solutions, with a focus on agentic and generative AI applications. Main Responsibilities Design, develop, and deploy scalable systems on cloud platforms such as AWS, GCP, or Azure. Build and manage agentic AI systems, emphasizing multi-step workflows, tool integration, and autonomous decision-making. Lead the implementation of AI-driven features from proof of concept through to production deployment. Create high-performance APIs and backend services for AI applications using frameworks like FastAPI, Flask, or Spring Boot. Integrate generative AI technologies, including LLMs, vector databases, RAG pipelines, and orchestration frameworks (such as LangChain or LangGraph), into enterprise environments. Design and maintain orchestration and retrieval pipelines to support scalable AI applications. Set up and manage MLOps and LLMOps pipelines, along with CI/CD workflows for integration, evaluation, and deployment. Ensure software quality through thorough testing, monitoring, observability, and performance tuning. Work closely with clients and cross-functional teams to gather requirements and deliver effective AI solutions. What machinelearningreply Offers Opportunities to contribute to innovative AI and software engineering projects across sectors such as Banking, Insurance, Automotive, and Retail. Growth in areas like MLOps, cloud architecture, data engineering, and generative AI. Collaboration with leading technology partners in cloud computing, AI, and automation. Access to training, certifications, and interdisciplinary project work.

Join our innovative team as an Agentic AI Software Engineer. We are seeking a talented and driven individual who possesses a strong foundation in software engineering, complemented by practical experience with cutting-edge AI technologies. Your role will involve partnering with clients to design and implement sophisticated, production-ready systems that utilize LLMs, autonomous agents, and scalable cloud infrastructure.Key Responsibilities:Architect, develop, and deploy scalable, production-grade applications on leading cloud platforms such as AWS, GCP, or Azure.Create and manage agentic AI frameworks, incorporating multi-step workflows, tool integrations, and autonomous decision-making capabilities.Oversee the complete lifecycle of AI feature implementation, from proof of concept to full-scale deployment.Develop high-performance APIs and backend services for AI applications using technologies like FastAPI, Flask, or Spring Boot.Integrate generative AI solutions, including LLMs, vector databases, and RAG pipelines, into enterprise environments.Design and implement robust orchestration and retrieval mechanisms for scalable AI applications.Establish and maintain MLOps/LLMOps pipelines and CI/CD workflows for seamless integration, evaluation, and deployment.Ensure software quality through rigorous testing, monitoring, observability, and performance tuning.Collaborate effectively with clients and cross-functional teams to gather requirements and deliver impactful AI solutions.

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.

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