Freelance AI Trainer - Material Scientist with Python Expertise

Please submit your CV in English and include your English proficiency level. toloka-ai, working with Mindrift, offers freelance, project-based work for material scientists with strong Python skills. This remote role is not a permanent position and is based in Rome, Metropolitan City of Rome Capital, Italy. Role overview This position centers on creating and validating materials engineering problems that reflect real engineering workflows. The work involves both problem design and solution development, with a focus on computational rigor and practical relevance. What you will do Develop original materials engineering problems inspired by real-world research and practical applications Write and validate solutions in Python, using standard engineering libraries Apply numerical methods or iterative approaches to ensure computational accuracy Design tasks involving system design, optimization, and analysis Clearly document problem statements and provide verified, correct answers Requirements Degree in Material Science or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also acceptable At least 2 years in applied research or teaching Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Engagement process Application Qualification assessment Project participation Task completion Payment Time commitment During active project phases, expect to spend about 10-20 hours per week. Actual workload can vary and is not guaranteed to be consistent over time. Compensation Earn up to $29 per hour, depending on contribution and efficiency. Actual rates may differ by project based on complexity and required expertise. Other projects may have different pay scales.

Please submit your CV in English and specify your English proficiency level. About the Role toloka-ai, in partnership with Mindrift, connects skilled specialists with project-based AI work for leading technology companies. This freelance position focuses on strengthening AI systems through detailed testing, evaluation, and refinement. Participation is strictly project-based and does not represent permanent employment. What You Will Do Design original computational physics problems that mirror real research workflows. Develop problems requiring Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy. Ensure problem sets are computationally demanding and not easily solvable by hand within days or weeks. Create scenarios involving complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base challenges on authentic research issues or practical applications in physics. Validate problem solutions in Python with standard physics simulation tools. Document problem statements clearly and provide accurate, verified answers. What We Look For 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, Stata, or other programming languages is also valued. At least 2 years of professional experience, which can include research, applied, or teaching roles. Background in numerical simulation methods. Ability to design problems that reflect genuine research workflows in physics. Creative approach to problem design across multiple physics domains. Understanding of physics modeling and approximation techniques. Excellent written English (C1 level or higher). How Projects Work The engagement process follows these steps: Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time Commitment Tasks typically require 10–20 hours per week during active project phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earn up to $29 per hour, depending on expertise and task completion rate. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different earning structures.

toloka-ai seeks a Freelance AI Trainer who combines civil engineering experience with solid Python programming skills. This contract position centers on training AI systems, drawing from practical engineering knowledge and coding expertise. Role overview This role involves using civil engineering concepts and Python to help develop and refine AI models. The work calls for both technical understanding of engineering principles and the ability to implement solutions in code. Location Remote work is available, but candidates should be based in Rome, Metropolitan City of Rome Capital, Italy.

Submit your CV in English and include your English proficiency level. About Mindrift Mindrift connects subject matter experts with project-based AI work at top technology companies. Projects focus on evaluating and improving AI systems. This is a temporary, project-based role, not a permanent position. Role Overview Freelance AI Trainers specializing in Statistics and Python contribute to a range of unique projects. Tasks may include: Designing computational statistics problems modeled after real mathematical research workflows Developing problems that require Python programming (using Numpy, SciPy, Sympy) to solve Creating computationally intensive problems that cannot be solved manually in a reasonable timeframe Constructing problems that involve complex reasoning in areas such as number theory, combinatorics, graph theory, or numerical analysis Basing problems on actual research challenges or practical mathematical applications Validating solutions in Python with established mathematical libraries Documenting problem statements clearly and providing verified solutions Who This Suits This role fits statistics professionals with strong Python skills who are interested in flexible, non-permanent projects. Ideal candidates have: A degree in Statistics or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant libraries is a plus At least 2 years of experience in applied, research, or teaching roles Strong written English (C1+ level) Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous 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, depending on project needs. This is an estimate, not a guarantee of hours. Compensation Earn up to $34 per hour, depending on your contribution and pace. Actual rates vary by project scope, complexity, and expertise required. Other projects on the platform may offer different compensation levels based on their requirements. Location This is a remote role based in Rome, Metropolitan City of Rome Capital, Italy.

Please submit your CV in English and indicate your English proficiency level. About Mindrift Mindrift connects specialists with project-based AI work at top technology companies. The focus is on testing, evaluating, and improving AI systems. This is project-based contract work and not a permanent employment arrangement. Role Overview As a Freelance Optical Engineer (Python), participate in projects that involve designing and validating computational physics challenges. Each project brings a unique set of tasks, which may include: Developing original computational physics problems that mirror real research workflows Writing problems that require Python programming to solve, using libraries like Numpy, SciPy, and Sympy Ensuring problems are computationally intensive and not solvable by hand within practical timeframes Creating challenges involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on genuine research questions or practical physics applications Validating solutions in Python with established physics simulation libraries Documenting problem statements clearly and providing verified solutions What We Look For This freelance role suits optical engineers with strong Python skills seeking flexible, part-time projects. Requirements 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 similar tools is also valued At least 2 years of relevant experience (applied, research, or teaching) Background in numerical simulation methods Ability to design problems that reflect authentic physics research processes Creative approach to problem design across various physics domains Solid grasp of physics modeling and approximation methods Strong written English skills at C1 level or above Project Workflow Application Qualification Project participation Task completion Compensation Time Commitment Expect to spend roughly 10–20 hours per week on tasks during active project phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earn up to $29 per hour, based on individual contribution and pace. Rates may differ depending on project complexity and expertise required. Other projects on the Mindrift platform may offer different compensation levels. Location This is a remote role based in Rome, Metropolitan City of Rome Capital, Italy.

Please submit your CV in English and indicate your English proficiency level. About Mindrift Mindrift connects skilled professionals with project-based roles focused on testing, evaluating, and improving AI systems for leading technology companies. This is a freelance, project-based role and does not constitute permanent employment. Role Overview: Freelance AI Trainer – Physics Expert with Python As a contributor, each project brings new challenges. Typical responsibilities include: Designing original computational physics problems that mirror real research practices Creating problems that require Python coding solutions, using tools such as Numpy, SciPy, and Sympy Ensuring problems are computationally intensive, with solutions requiring days or weeks rather than manual calculation Covering advanced topics like mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on genuine research issues or practical physics applications Validating solutions with Python and established physics simulation libraries Clearly documenting each problem and providing verified, correct answers Who Should Apply This role suits physicists with Python skills interested in flexible, part-time projects. The ideal candidate will have: A degree in Physics (theoretical, experimental, or computational) or a closely related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus At least 2 years of professional experience in research, applied work, or teaching Background in numerical simulation techniques Ability to design problems that reflect real-world research workflows Creative problem design skills across multiple physics disciplines Familiarity with modeling and approximation in physics Excellent written English (C1 level or above) How to Apply Candidates must complete a qualification process before joining a project, submitting tasks, and receiving payment. Time Commitment During active projects, expect to contribute about 10–20 hours per week, depending on project requirements. Actual hours may vary. Compensation Earn up to $29 per hour, depending on experience and contribution speed. Rates vary by project based on complexity and expertise needed. Other projects on the platform may offer different compensation levels according to their requirements. Location This is a remote position based in Rome, Metropolitan City of Rome Capital, Italy.

Mindrift connects chemistry specialists with freelance, project-based AI work in partnership with major technology companies. This is not a permanent employment role; participation is on a per-project basis. The focus is on optimizing, testing, and enhancing AI systems through real-world computational chemistry challenges. Role overview As a Chemistry and Python Specialist, projects involve designing and validating advanced computational chemistry problems. These tasks often require Python programming and a strong grasp of research workflows in chemistry. Contributors may: Create complex chemistry problems that reflect current research practices Design problem sets requiring Python solutions, using tools like NumPy, SciPy, and specialized chemical libraries Ensure problems are computationally intensive, beyond manual resolution within days or weeks Develop questions that call for advanced reasoning in physical chemistry, quantum chemistry, or molecular modeling Base problems on real research scenarios or practical chemistry applications Validate solutions using Python and established computational chemistry techniques Document problem statements clearly and provide verified solutions Requirements Degree in Chemistry or a closely related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, or libraries like NumPy, Pandas, and SciPy is also considered At least 2 years of relevant experience in applied research or teaching Knowledge of numerical methods in chemistry Solid understanding of computational chemistry principles Excellent written English (C1 proficiency or higher) Application process Submit your CV in English and indicate your level of English proficiency Complete the qualification steps Join a project and complete assigned tasks Receive payment after project completion Time commitment Estimated workload is 10-20 hours per week during active project phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Contributors can earn up to $29 per hour, depending on experience and pace. Rates may vary by project based on complexity and expertise required.

Submit your CV in English and include your proficiency level. About Mindrift Mindrift connects skilled professionals with project-based roles in artificial intelligence for leading tech companies. Most work centers on testing, evaluating, and improving AI systems. This is a project-based contract, not a permanent position. Role Overview: Freelance AI Trainer – Research Physicist with Python Skills Projects vary, but contributors typically: Create advanced computational physics problems that mirror real research workflows Develop problems requiring Python programming for solutions, often using libraries such as Numpy, SciPy, and Sympy Design computationally intensive challenges that may take several days or weeks to solve Write problems involving complex reasoning in areas like mechanics, electromagnetism, thermodynamics, and quantum mechanics Base scenarios on authentic research challenges or practical physics applications Validate solutions with Python and standard simulation libraries Document problem statements clearly and provide verified answers Who We’re Looking For This role suits physicists with strong Python skills who want flexible, part-time project work. Ideal candidates have: A degree in Physics (theoretical, experimental, or computational) or a related discipline Solid Python experience for numerical validation; proficiency in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also valued At least 2 years of relevant experience (applied, research, or teaching) Background in numerical simulation techniques Ability to design problems that reflect real-world physics research Creative problem-solving skills across multiple physics domains Familiarity with modeling and approximation methods in physics Excellent written English (C1 level or higher) How Projects Work Apply Complete qualifications Join a project Carry out assigned tasks Receive payment Project Commitment During active project periods, tasks typically require an estimated 10–20 hours per week. Actual hours depend on project needs and may vary. Compensation Contributors can earn up to $29 per hour, depending on contribution level and pace. Pay rates vary by project, based on scope, complexity, and expertise required. Other projects on the platform may offer different compensation structures. Location: Remote , Rome, Metropolitan City of Rome Capital, Italy

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects professionals with project-based AI work for leading technology firms, focusing on testing, evaluating, and improving AI systems. This Mathematics & Python Specialist - Freelance AI Educator position is project-based and not a permanent role. What you will do Design original computational mathematics problems that reflect real research workflows Create problems that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy Ensure problems are computationally intensive and cannot be solved manually within a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base problems on genuine research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide verified solutions 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, or similar libraries is also acceptable At least 2 years of professional experience in applied, research, or teaching settings Background in numerical methods and symbolic computation Ability to design problems that mirror authentic mathematical research workflows Familiarity with computational complexity theory Strong written English skills (C1 or higher) Project details Project tasks typically require about 10–20 hours per week during active phases. Actual workload depends on project needs and is not guaranteed outside of active periods. Compensation Contributors can earn up to $29 per hour, depending on experience and the pace of contribution. Rates vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different earning potential depending on their requirements. Application process Submit your application Pass qualification(s) Engage in a project Complete assigned tasks Receive compensation

Role Overview Toloka AI seeks a freelance Mechanical Engineer with strong Python skills to support AI training projects. This contract role is remote, based in Rome, Metropolitan City of Rome Capital, Italy. What You Will Do Apply mechanical engineering knowledge to guide and improve AI system training. Use Python to develop or refine tools and processes for AI projects. Contribute technical expertise to help shape technology solutions. Requirements Background in mechanical engineering. Proficiency in Python programming. Interest in AI and technology development. Availability for freelance, remote work.

Mindrift brings together specialists and AI projects from leading technology companies, with a focus on practical applications of Generative AI. The team values real-world expertise and works globally to advance AI-driven solutions. Role overview This is a part-time, remote freelance role supporting the Tendem project (https://tendem.ai/). As an AI Workflow Engineer (also referred to as an AI Pilot), the work centers on developing automation systems that blend Large Language Models (LLMs) with human input. The main objective is to build scalable and dependable AI-powered workflows for content creation, communication, and automation tasks. What you will do Design and evaluate workflows that utilize LLM APIs, including OpenAI, Claude, Gemini, and others. Develop and enhance AI automation systems for generating content and managing communications. Create prompt frameworks to ensure consistent, high-quality results across workflows. Set up personalized automated outreach systems, such as email and messaging flows. Organize and preprocess data to support stable model performance and reliable outputs. Analyze and refine AI-driven pipelines to improve scalability, efficiency, and accuracy. Who succeeds in this role Candidates with direct experience in LLM integrations, prompt engineering, and building AI automation systems tend to do well. Structured thinking and attention to quality control are important, especially in an environment where AI and human collaboration are key. Location This freelance position is remote, based in Rome, Metropolitan City of Rome Capital, Italy.

Role overview Toloka AI seeks a Freelance Mathematics Expert - AI Trainer for a remote position based in Rome, Metropolitan City of Rome Capital, Italy. This role centers on developing and delivering training programs aimed at improving AI performance in mathematical contexts. Main responsibilities Apply mathematical expertise to guide the creation of AI training content and instructional methods. Design and deliver training programs that enhance AI's mathematical abilities. Assist in building tools and resources that use AI to support mathematics education. About Toloka AI Toloka AI creates artificial intelligence solutions for education and other fields, focusing on technology that addresses practical learning needs.

Toloka AI is hiring a Freelance English Writer and AI Trainer based in Rome, Metropolitan City of Rome Capital, Italy. This remote contract role centers on producing and refining English-language content to support the training and advancement of AI systems. Role overview This position involves writing clear and engaging content for different audiences. Collaboration with AI specialists is a key part of the job, as is providing feedback to help improve artificial intelligence models. The work directly supports the development of new AI technologies. What you will do Create well-written English content tailored to varied readers Work alongside AI experts to train and assess AI models Offer thoughtful feedback that guides technology improvements Requirements Strong command of English writing Ability to explain ideas clearly and informatively Interest in collaborating with AI professionals and supporting technology growth This freelance position provides an opportunity to contribute to the progress of artificial intelligence as part of a team focused on innovation.

Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join its remote team based in Rome, Metropolitan City of Rome Capital, Italy. This position blends journalistic skills with practical involvement in artificial intelligence training projects. Key responsibilities Develop and refine training data to support AI initiatives Contribute journalistic writing that offers insights and perspectives for AI training tasks Location This is a remote role, open to candidates located in Rome and the surrounding metropolitan area.

Please submit your CV in English and indicate your English proficiency level. Mindrift offers project-based AI work for specialists, connecting professionals with assignments that focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. Role overview This freelance Optical Engineer - AI Trainer position centers on designing and documenting complex optics problems for AI training. Work is remote and open to candidates based in Rome or elsewhere in Italy. Each project may differ in scope and requirements. Main responsibilities Develop original optics problems that reflect real-world physics research workflows Create computationally intensive challenges that cannot be solved by hand in a short period Design problems requiring advanced reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics Base each challenge on real research questions or practical applications in optics and physics Document all problems clearly and provide accurate, verified solutions Requirements Background as an optical engineer interested in part-time, project-based work Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum 2 years of experience in applied, research, or teaching roles Experience with numerical simulation methods Ability to design problems that mirror authentic research workflows Creative problem-solving skills across multiple physics domains Familiarity with physics modeling and approximation techniques Strong written English skills at C1 level or higher Application process Apply with a CV and details on English proficiency Complete qualification steps Join a project Work on assigned tasks Receive compensation Project commitment Expect to dedicate 10–20 hours per week during active project phases. Actual hours may change depending on project needs. Compensation Rates can reach up to $29 per hour, depending on expertise and speed. Actual pay may vary by project scope, complexity, and required skills. Other Mindrift projects may offer different compensation based on their requirements.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based AI work for technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a project-based role, not a permanent position. Role overview This freelance AI Trainer (Research Physicist) role centers on designing and documenting advanced physics problems for AI training. Assignments vary but often involve: Creating original optics problems that reflect real-world research workflows Ensuring problems require computational effort and cannot be solved quickly by hand Developing complex problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing scenarios on actual research challenges or practical situations in optics and physics Writing clear problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Minimum of 2 years’ experience in applied research or teaching Experience with numerical simulation methods Ability to design problems that mirror real research processes Creativity in developing problems across multiple physics domains Familiarity with modeling and approximation techniques Strong written English (C1 level or above) Time commitment Plan for approximately 10–20 hours per week during active project periods. Actual workload may change depending on project needs. Compensation Earn up to $29 per hour, depending on expertise and pace. Pay rates may vary by project, based on scope, complexity, and required skills. Other projects on the platform may offer different earning potential. Application process Apply Complete qualification(s) Join a project Complete assigned tasks Receive payment

Mindrift is hiring a Freelance Low-Code Automation Engineer to contribute to the Tendem project. This is a part-time, remote contract role based in Rome, Metropolitan City of Rome Capital, Italy. The position centers on building and improving automation workflows that blend AI and human input. Key responsibilities Create and enhance automation workflows for use in a hybrid AI-human environment Work closely with Tendem Agents to manage repetitive tasks and improve process efficiency Apply structured problem-solving and quality control to keep workflows reliable and scalable across different systems Utilize low-code automation platforms and JavaScript to tailor and optimize solutions Requirements Proven experience with low-code automation tools Strong skills in workflow architecture and process optimization Comfort with customizing automation using JavaScript Interest in flexible, remote freelance work The role involves working with the Tendem project team and using both technical and collaborative skills to streamline operations. For more about the project, visit https://tendem.ai/.

Please submit your CV in English and specify your English proficiency level. Mindrift connects skilled professionals with contract-based AI projects from leading technology companies. This freelance role centers on evaluating, testing, and refining AI systems. It is a contract position only, not a path to permanent employment. Role overview This project focuses on building a dataset to assess how well AI coding agents perform real-world software development tasks. The work requires designing realistic challenges and evaluation methods within simulated developer environments. Key responsibilities Create virtual companies from high-level plans, building out codebases, infrastructure, and context such as conversations, documentation, and tickets to simulate authentic development histories. Develop and refine tasks for different stages of the virtual company, including writing prompts, setting evaluation criteria, and ensuring tasks are solvable and fairly assessed. Design assignments in isolated environments that closely resemble a developer’s workstation, including a Linux machine with development tools (terminal, CLI), MCP servers (repository, task tracker, messenger, documentation), and a live web application codebase. Implement tests that accept all correct solutions and reject incorrect ones, carefully balancing strictness and leniency. Collaborate with an AI agent during test runs to confirm that tests catch real issues, flagging faulty solutions without penalizing correct ones. Review code generated by AI agents, analyze reasons for success or failure, and design edge cases and adversarial scenarios to expose weaknesses. Iterate on your work based on feedback from expert QA reviewers who will check your outputs against quality standards. What this role does not involve Data labeling Prompt engineering Writing code from scratch (the AI agent generates most of the code; your focus is on guiding and evaluating) Much of the work involves close collaboration with AI models, as developing challenging tasks for advanced systems requires working directly with them.

Toloka Annotators seeks a Freelance AI Trainer - Data Annotation Specialist to help advance artificial intelligence systems. This position is remote, with a focus on candidates based in Rome, Metropolitan City of Rome Capital, Italy. Key responsibilities Annotate and label various types of data to support AI model training Follow detailed instructions to ensure accurate and consistent data handling Contribute to improving the quality and performance of AI systems by maintaining high standards in data preparation Work style Fully remote work arrangement Flexible scheduling with the ability to manage your own hours Participate in ongoing AI projects from your preferred location

This project-based freelance role is open to candidates based in Rome, Metropolitan City of Rome Capital, Italy, with remote work arrangements. Engagements are not permanent employment but are structured around specific projects. Mindrift connects subject matter experts with technology companies to help test, evaluate, and improve AI systems. Projects focus on practical, real-world input to strengthen AI tools. Role overview The Freelance Supply Chain Consultant - AI Trainer works on short-term projects that use hands-on supply chain knowledge to shape AI development. This includes building realistic disruption scenarios, defining outcomes and mitigation strategies, and reviewing AI-generated recommendations for business accuracy and sense. Experience in procurement and manufacturing is key to ensuring scenarios reflect actual industry challenges. What you will do Design realistic supply chain disruption scenarios, such as supplier delays, quantity changes, logistics issues, and quality failures, based on real-world manufacturing and procurement experience. Define expected outcomes and practical mitigation steps for each scenario. Assess AI-generated proposals for alignment with practical business logic. Review outputs for accuracy, completeness, and relevance, particularly in ERP environments (including Microsoft Dynamics 365, Coupa, Jaggaer, Ariba/SAP). Support structured data creation and validation, following detailed project guidelines. Requirements Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, ideally within manufacturing. Strong grasp of procurement processes, including purchase orders, vendor management, inventory, and production planning. Proficiency with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365. Ability to design and analyze disruption scenarios and mitigation plans. Knowledge of supply chain disruptions: delays, shortages, quality issues, and logistics challenges. Familiarity with Incoterms and logistics management. Understanding of BOM structures and production planning. Experience tracking supplier performance metrics (OTIF, lead times, quality scores). Analytical skills for evaluating AI outputs using business logic. Background in data validation, structured data entry, or annotation work. Excellent written English communication skills. Project steps Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment Active project phases typically require 10-20 hours per week. Actual workload may vary depending on project needs. Compensation Compensation is up to $50 per hour, depending on experience and qualifications.