Freelance AI Trainer and Annotator (English)

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

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based AI work for leading technology companies. Projects focus on improving, evaluating, and testing AI systems. This is a non-permanent, project-based position. Role overview The Freelance AI Trainer (Research Physicist with Python Skills) role involves designing and validating computational physics problems for AI training projects. Each assignment brings a new set of challenges, often rooted in real research scenarios. Create computational physics problems that reflect actual research workflows Develop challenges requiring Python programming, using libraries such as Numpy, SciPy, and Sympy Ensure problems are complex enough to require computational solutions Cover topics in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base challenges on real research questions or practical physics applications Validate solutions in Python, using established physics simulation libraries Document problem statements clearly and provide verified answers Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus Minimum 2 years of professional experience (applied, research, or teaching) Familiarity with numerical simulation methods Ability to design problems that reflect authentic physics research Creative problem-solving skills across different physics domains Understanding of physics modeling and approximation techniques Excellent written English (C1+ level) Project process Submit an application Complete qualification steps Join a project Work on assigned tasks Receive payment Time commitment Expect to work approximately 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 vary by project based on scope, complexity, and required qualifications. Other projects on the platform may offer different compensation levels. Location This remote role is open to candidates based in Stuttgart, Baden-Württemberg, Germany.

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.

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 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.

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 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 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.

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

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 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.

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.

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

Please submit your CV in English and include your English proficiency level. toloka-ai, in partnership with Mindrift, offers freelance, project-based work for legal professionals interested in AI development and evaluation. This remote position allows legal advisors to contribute their expertise to technology companies by supporting and improving AI systems. The role is not permanent, but offers the flexibility to work on a project-by-project basis. Key Responsibilities Develop prompts designed to test and challenge AI systems in legal contexts. Review AI-generated legal content, checking for accuracy, assumptions, and logical consistency. Refine AI reasoning to ensure alignment with established legal standards and principles. Use structured scoring methods to assess multi-step problem-solving by AI models. Requirements Law degree (Bachelor, J.D., LLM, or FLLM) valid in the United States. At least 2 years of hands-on legal practice within US jurisdiction. Excellent written English at C1 or C2 proficiency level. Reliable internet connection. Who Thrives Here This freelance role is well suited to legal consultants or attorneys with US law experience who seek flexible, part-time work. Prior experience in legal analysis and a strong interest in technology are helpful. How to Get Started Submit your application. Complete the qualification steps. Get matched to a suitable project. Work on assigned tasks. Receive payment after project completion. Time Commitment Active projects typically require about 10 to 20 hours per week, though actual hours may vary depending on project needs. Workload is not guaranteed outside of active project periods. Compensation Earnings can reach up to $53 per hour, depending on experience and productivity. Pay rates vary by project scope, complexity, and required expertise. Other projects on the platform may offer different compensation based on their specific needs.

Toloka Annotators seeks a Freelance AI Trainer - Data Annotation Specialist for a remote contract based in Stuttgart, Baden-Württemberg, Germany. This role centers on providing accurate and consistent data annotation to help train and refine AI models. Key responsibilities Annotate diverse datasets to support the development of machine learning systems Maintain accuracy and consistency throughout all labeling tasks Contribute to the improvement of AI models by delivering high-quality data What we look for Genuine interest in AI technology and its uses Reliable, detail-oriented approach with a commitment to quality