Freelance AI Trainer - Data Annotation Specialist

Please submit your CV in English and specify your English proficiency level. toloka-ai, in collaboration with Mindrift, offers freelance opportunities for specialists interested in project-based AI work. This remote position centers on improving AI systems by designing, testing, and refining complex computational physics challenges. Engagement is strictly on a project basis and does not constitute permanent employment. Role overview This freelance role involves creating and validating advanced computational physics problems that require strong Python programming skills. Projects are designed to mirror real research workflows and demand a high level of subject expertise. What you will do Design original computational physics problems inspired by authentic research scenarios. Develop challenges that require Python solutions, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and not easily solvable by hand. Incorporate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics. Validate solutions in Python, using standard physics simulation tools. Document problem statements clearly and provide accurate, verified answers. Requirements Degree in Physics (theoretical, experimental, or computational) or a related field. Strong Python programming skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar languages is valued. Minimum 2 years of professional experience, including research, applied, or teaching roles. Background in numerical simulation methods. Ability to design research-inspired physics problems. Creativity in problem design across multiple physics domains. Understanding of modeling and approximation techniques in physics. Excellent written English (C1 level or higher). Project process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time commitment Workload typically ranges from 10 to 20 hours per week during active project periods. Actual hours may vary based on project requirements 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.

Submit your CV in English and include your proficiency level. Mindrift connects professionals with project-based roles in artificial intelligence, focusing on testing, evaluating, and improving AI systems for leading tech companies. All positions are contract-based and not permanent employment. Role overview This freelance AI Trainer position is designed for research physicists with strong Python skills. Projects involve creating and validating advanced computational physics problems that reflect real research workflows. Contributors typically: Develop complex physics problems requiring Python programming, often using libraries such as Numpy, SciPy, and Sympy Design computationally intensive challenges that may take days or weeks to solve Write problem statements involving mechanics, electromagnetism, thermodynamics, or quantum mechanics Base scenarios on authentic research or practical physics applications Validate solutions using Python and standard simulation tools Document problems clearly and provide verified answers Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Strong experience with Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued At least 2 years of relevant experience (applied, research, or teaching) Background in numerical simulation techniques Ability to design problems reflecting real-world research in physics Creative problem-solving skills across multiple physics domains Familiarity with modeling and approximation methods Excellent written English at C1 level or above Project process Apply Complete qualifications Join a project Carry out assigned tasks Receive payment Time commitment During active projects, tasks usually require 10–20 hours per week. Actual hours may vary depending on project needs. 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 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 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

Submit your CV in English and include your English proficiency level. Mindrift connects subject matter experts with project-based AI work for leading technology companies. Assignments focus on evaluating and improving AI systems. This is a temporary, project-based position rather than a permanent role. Role overview Freelance AI Trainers specializing in Statistics and Python contribute to a variety of projects that draw on advanced mathematical and programming skills. Typical tasks include: Designing computational statistics problems inspired by real-world mathematical research workflows Developing problems that require Python programming, often using Numpy, SciPy, or Sympy Creating computationally intensive problems not feasible to solve manually Constructing problems involving complex reasoning in fields such as number theory, combinatorics, graph theory, or numerical analysis Basing problem sets on actual research challenges or practical mathematical scenarios Validating solutions in Python with established mathematical libraries Documenting problem statements clearly and providing verified solutions Who this role suits This position is a fit for statistics professionals with strong Python skills seeking flexible, non-permanent projects. The ideal background includes: A degree in Statistics or a related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is a plus At least 2 years of experience in applied, research, or teaching roles Strong written English at C1 level or above Professional certifications (such as CMME, SAS Certifications, or CAP) and experience with international or applied projects are considered advantageous Project workflow 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 and does not guarantee a set number of hours. Compensation Earn up to $34 per hour, depending on contribution and pace. Actual rates vary based on project scope, complexity, and required expertise. 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.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects professionals with freelance, project-based opportunities centered on testing, evaluating, and improving AI systems for major technology companies. This position is not permanent employment but offers flexible, project-driven work. Role overview This freelance AI Trainer role focuses on designing advanced computational physics problems that require Python-based solutions. Each project introduces new challenges, often reflecting real research practices and practical applications in physics. What you will do Create original computational physics problems modeled after genuine research scenarios Develop problems that require Python coding solutions, using tools like Numpy, SciPy, and Sympy Ensure problems are computationally intensive, with solutions that go beyond manual calculation Cover advanced topics such as mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on real research issues or practical applications in physics Validate solutions using Python and established physics simulation libraries Document each problem clearly and provide verified, correct answers Requirements 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) Application process All candidates complete a qualification process before joining projects, submitting tasks, and receiving payment. Time commitment Expect to contribute approximately 10–20 hours per week during active projects, though actual hours may vary depending on project needs. Compensation Rates reach up to $29 per hour, depending on experience and contribution speed. Compensation varies by project, reflecting complexity and required expertise. Other projects on the platform may offer different pay rates. Location This remote freelance position is based in Rome, Metropolitan City of Rome Capital, Italy.

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.

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

Toloka AI is seeking a Freelance AI Trainer with a background in Biology and Python programming. This remote position is based in Rome, Metropolitan City of Rome Capital, Italy. Role overview This contract role centers on supporting AI training projects. The focus is on applying subject matter expertise in biology and hands-on Python skills to help improve machine learning models. Collaboration with a team of professionals is a key part of the work, aiming to advance AI capabilities. What you will do Contribute biological knowledge and Python programming experience to AI model training tasks Work remotely with a diverse team to enhance project outcomes Help refine and improve the quality of machine learning models Requirements Expertise in biology Proficiency in Python programming Ability to work effectively in a remote, collaborative setting

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.

Toloka AI is looking for a freelance Mechanical Engineer with strong Python experience to assist with AI training projects. This contract position is remote and based in Rome, Metropolitan City of Rome Capital, Italy. Role overview This role combines mechanical engineering knowledge with Python programming to support the development and training of AI systems. The position involves working independently as a contractor while collaborating with Toloka AI’s technical team. What you will do Apply expertise in mechanical engineering to guide and improve the training of AI systems. Use Python to create or enhance tools and processes that support AI projects. Offer technical insights to help shape technology solutions for ongoing initiatives. Requirements Background in mechanical engineering. Proficiency in Python programming. Interest in AI and technology development. Available for freelance, remote work.

Please submit your CV in English and specify your English proficiency level. This freelance contract role with Mindrift connects optical engineers to project-based work focused on testing, evaluating, and improving AI systems for top technology companies. All work is on a project basis, not a permanent employment arrangement. Role overview Freelance Optical Engineers with Python expertise join projects that center on designing and validating computational physics challenges. Tasks vary by project and may include: Developing original computational physics problems that reflect real research workflows Writing problems solvable with Python, using libraries such as Numpy, SciPy, and Sympy Ensuring problems are computationally intensive and not easily solved by hand Creating challenges in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing problems on real research questions or practical physics applications Validating solutions in Python with established simulation libraries Documenting problem statements clearly and providing verified solutions Requirements 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 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 higher Project workflow Application Qualification Project participation Task completion Compensation Time commitment During active project phases, expect to spend approximately 10–20 hours per week. Actual hours may change based on project needs and are not guaranteed. Compensation Earn up to $29 per hour, depending on contribution and pace. Rates may vary with project complexity and expertise required. Other projects on the Mindrift platform may offer different compensation levels. Location This is a remote position based in Rome, Metropolitan City of Rome Capital, Italy.

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.

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.