Freelance AI Trainer - Research Physicist

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.

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

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.

Please submit your CV in English and indicate your English proficiency level. About Mindrift Mindrift connects skilled specialists with project-based AI roles for leading tech companies. Work centers on testing, evaluating, and improving AI systems. This is a project-based freelance position, not permanent employment. Role Overview Physics Specialists with Python expertise contribute to diverse AI projects. Each assignment brings unique challenges, often requiring: Designing computational physics problems that mirror real research workflows Creating problems that require Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensuring tasks are computationally intensive and not solvable manually within days or weeks Developing problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing challenges on real research issues or practical applications in physics Validating solutions with Python and standard physics simulation libraries Clearly documenting problem statements and providing verified solutions Who Should Apply This freelance role suits physics professionals with strong Python skills who are interested in flexible, project-based work. Preferred qualifications include: 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 domain-specific libraries is also valued At least 2 years of professional experience, such as applied research or teaching Experience with numerical simulation methods Ability to design problems that reflect real physics research workflows Creative problem-solving skills across multiple physics domains Familiarity with modeling and approximation techniques in physics Strong written English skills at C1 level or above How Projects Work Apply Pass qualification steps Join a project Complete assigned tasks Receive compensation Time Commitment During active project phases, tasks typically require about 10–20 hours per week. Actual workload may vary depending on project needs, and no specific number of hours is guaranteed. Compensation Contributors can earn up to $45 per hour, depending on expertise and pace. Actual rates may differ between projects based on complexity and required skills. Earning potential varies with each assignment.

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

To apply, please submit your CV in English and specify your English proficiency level. About Mindrift Mindrift connects skilled specialists with project-based AI work for leading technology companies. The focus is on testing, evaluating, and improving AI systems. This is a freelance, project-based role and not a permanent position. Role Overview As an Electrical Engineer and Python Specialist working remotely (with projects based in Stuttgart, Baden-Württemberg, Germany), contributors help design and validate computational engineering challenges for AI training. Each project brings new tasks, which may include: Designing computational engineering problems that reflect real-world engineering 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 What We Look For 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 also 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 How Projects Work Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time Commitment During active project phases, tasks typically require about 10–20 hours per week. Actual workload may vary depending on project needs. This estimate is not a guarantee of hours. Compensation Contributors can earn up to $50 per hour, depending on expertise and pace. Compensation may vary across projects based on scope, complexity, and required skills. Other projects on the platform may offer different rates according to 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.

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 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.

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.

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.

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.

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

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.

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

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