Physics AI Training Specialist

Please submit your CV in English and specify your English proficiency level. Mindrift connects specialists to project-based AI roles for major technology companies. The work centers on assessing, evaluating, and improving AI systems. This freelance position is strictly project-based and does not offer permanent employment. Role overview The Freelance Research Physicist - AI Training Specialist contributes to a variety of tasks aimed at enhancing AI models in physics. Typical responsibilities include: Designing original optics problems that reflect real research workflows in physics Ensuring each problem requires significant computation and cannot be solved manually within days or weeks Formulating advanced problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics that require higher-level reasoning Basing problems on authentic research challenges or practical scenarios in optics and physics Documenting each problem clearly and providing validated solutions Who this project suits This project fits physicists seeking part-time, project-based work. The preferred background includes: Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of professional experience in applied, research, or teaching roles Experience with numerical simulation methods Ability to design problems that mirror real research processes in physics Creative approach to problem formulation across multiple areas of physics Strong understanding of physics modeling and approximation techniques Excellent written English at C1 level or higher How engagement works Submit your application Complete required qualifications Join a project Carry out assigned tasks Receive compensation Time commitment Project phases typically require about 10–20 hours per week. Actual workload varies depending on project needs and is not guaranteed. Compensation Earn up to $17 per hour, based on expertise and task completion rate. Compensation may differ between projects, reflecting the scope, complexity, and required skills. Other projects on the Mindrift platform may offer different pay rates depending on their requirements. Location This is a remote role for candidates based in Uruguay.

Please submit your CV in English and include your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. Projects involve testing, evaluating, and improving AI systems. This is a non-permanent, project-based contract. Role overview The Freelance Research Physicist with Python expertise role offers a variety of project-based challenges. Contributors take on tasks such as designing original computational physics problems that reflect real research workflows. Typical work includes: Developing Python-based problems using libraries such as Numpy, SciPy, and Sympy Ensuring problems are computationally intensive and not easily solved by hand Creating scenarios that require advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Drawing from real research questions or practical physics applications Validating solutions in Python with established physics 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 professional experience in applied research or teaching Background in numerical simulation techniques Ability to design problems that mirror real research workflows Creative approach to problem design across multiple physics areas Familiarity with physics modeling and approximation methods Excellent written English (C1 level or higher) How to get started Apply, complete the required qualifications, join a project, and finish assigned tasks to receive payment. Project details Tasks typically require 10–20 hours per week during active project phases. Actual workload may vary based on project needs. Compensation Contributors may earn up to $17 per hour, depending on expertise and pace. Actual pay varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates based on their needs.

Join anyone-ai as a Math AI Training Specialist in Uruguay. In this exciting role, you will be responsible for developing and enhancing training data for our advanced AI systems. Your expertise in mathematics will play a crucial role in ensuring the accuracy and effectiveness of our AI algorithms.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced specialists with project-based AI initiatives for leading technology companies. The team focuses on testing, evaluating, and improving AI systems. This is a freelance, project-based role and not a permanent position. Role overview As a Freelance Quantum Research Scientist & AI Trainer, assignments span a variety of projects, each presenting unique challenges. Work centers on crafting and validating computational physics problems that reflect real research practices. Tasks often require advanced Python programming and a strong grasp of physics concepts. Create original computational physics problems modeled on authentic research methods Develop problems that require Python programming to solve, often using libraries such as Numpy, SciPy, and Sympy Design computationally intensive tasks unsolvable by hand within reasonable timeframes Formulate problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base tasks on real-world research scenarios or practical physics applications Validate solutions using Python and established physics simulation libraries Document problem statements clearly and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) 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 of professional experience, including research or teaching Background in numerical simulation techniques Ability to design problems that mirror real-world physics research workflows Creative approach to problem formulation across different physics domains Understanding of physics modeling and approximation methods Strong written English skills (C1 level or above) How to apply Apply Complete qualification(s) Join a project Fulfill assigned tasks Receive compensation Time commitment During active projects, expect to dedicate roughly 10–20 hours per week. Actual hours may vary with project needs. Compensation Earn up to $17 per hour, depending on contribution and pace. Rates vary by project scope, complexity, and required expertise. Other projects on the platform may offer different compensation structures. Location: Remote , Uruguay

Mindrift, in partnership with toloka-ai, offers project-based freelance roles for mathematics and Python specialists interested in supporting AI development for leading technology firms. This contract position is fully remote and based in Uruguay. All applicants should submit their CV in English and specify their English proficiency level. Role overview This freelance role centers on creating and validating advanced computational mathematics problems for AI system evaluation. Each project brings unique challenges, requiring contributors to: Develop original mathematics problems that mirror real research workflows Design problems requiring Python programming to solve, often using libraries like Numpy, SciPy, or Sympy Ensure problems are computationally intensive, not solvable by hand in a reasonable time Incorporate complex reasoning across fields such as number theory, combinatorics, graph theory, and numerical analysis Draw from real-world research or practical applications in mathematics Verify solutions using Python and standard mathematical libraries Document problem statements clearly and provide accurate, verified 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, or similar tools 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 design problems reflecting authentic mathematical research Understanding of computational complexity theory Strong written English skills at C1 level or higher How projects work The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment. Time commitment During active project phases, tasks generally require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside active periods. Compensation Contributors may earn up to $17 per hour, depending on expertise and pace. Actual rates vary by project scope and complexity. Other projects on the platform may offer different earning potential.

Role Overview anyone-ai is looking for Chemistry specialists based in Chile to support the development of STEM training datasets for advanced AI models. This is a remote position. What You Will Do Design and write complex Chemistry challenges that require deep reasoning and domain expertise. Ensure each challenge has a single, verifiable correct answer. Develop tasks that test the limits of current AI systems, focusing on computational accuracy and logical rigor. Work on projects across computational chemistry, physical chemistry, analytical chemistry, and chemical engineering workflows. Create Chemistry problems that may involve the use of specialized software tools. Areas of Focus Computational chemistry Physical chemistry Analytical chemistry Chemical engineering processes Tasks involving specialized Chemistry software

anyone-ai is building high-quality STEM training data to support advanced AI models for leading research labs. The team focuses on improving how AI systems reason within scientific fields. This Biology AI Training Specialist role centers on designing complex, deterministic biology problems that have a single, verifiable answer. Each problem should reflect real scientific and analytical workflows, paired with a thorough, validated solution. Areas of focus may include molecular biology, genetics, systems biology, computational biology, bioinformatics, or other quantitative biology specializations, depending on expertise. What you will do Develop advanced biology problems that test the limits of current AI systems. Create deterministic tasks with only one correct answer, ensuring clarity and reproducibility. Write and verify complete solutions for each problem. Design problems that require experimental reasoning, analysis of biological systems, computational workflows, or bioinformatics methods. Use Python and, when relevant, specialized biology or bioinformatics tools. Consistently maintain rigorous standards and technical precision in all submissions. Requirements Bachelor's, Master's, or PhD in Biology or a closely related life sciences field. Background in research or industry with experience in computational or quantitative biological analysis. Proficiency in Python; experience with data analysis or bioinformatics workflows is a plus. Strong analytical skills and confidence in solving multi-step scientific problems. Ability to create original, challenging problems rooted in real-world biological practice. Excellent written English and attention to detail. Preferred skills Experience in molecular biology, genetics, or bioinformatics. This position is based in Uruguay.

Role Overview anyone-ai creates high-quality STEM training datasets for advanced AI models. The company’s data supports leading AI labs by helping improve their models’ technical reasoning. This remote role focuses on designing challenging, deterministic physics problems and solutions that test and expand the capabilities of AI systems. What You Will Do Develop complex physics problems for AI model training and evaluation. Write deterministic questions with a single, clearly correct answer. Provide detailed, validated solutions that clearly document each reasoning step. Create problems that require deep physical reasoning and multi-step analysis, not just recall. Use Python or specialized tools as needed for simulations, models, or computational workflows. Ensure all content is technically accurate, reproducible, and clearly written in English. Required Qualifications Bachelor’s, Master’s, or PhD in Physics or a closely related field. Research or industry experience in theoretical, experimental, or computational physics. Proficiency in Python and familiarity with scientific libraries such as NumPy or SciPy. Strong understanding of modeling, simulation, numerical methods, and multi-step problem solving. Ability to design original, challenging problems that reflect real-world physics workflows. Excellent attention to detail and strong technical writing skills in English. Preferred Qualifications Experience creating educational materials or assessments in physics. Familiarity with AI training methods. Location This is a remote position based in Uruguay.

Please submit your CV in English and specify your English proficiency level. Mindrift connects specialists with project-based AI work for technology companies. Assignments focus on testing, evaluating, and improving AI systems. This freelance, project-based role does not constitute permanent employment. Role overview This freelance AI Trainer position is open to candidates based in Uruguay. Work is fully remote and centers on computational statistics and Python programming. Projects involve real-world mathematical research and problem solving. What you will do Create original computational statistics problems that reflect authentic mathematical research workflows. Design challenges requiring Python programming, using libraries such as NumPy, SciPy, and SymPy. Develop computationally intensive problems that cannot be solved manually within practical timeframes. Formulate problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis. Base problem sets on real research obstacles or practical mathematical applications. Validate solutions using Python and standard mathematical libraries. Document problem statements clearly and provide verified, correct answers. Requirements Degree in Statistics or a related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar libraries is valued. At least 2 years of professional experience in applied, research, or teaching roles. Strong written English skills (C1 level or higher). Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive payment Time commitment During active project phases, tasks usually require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside of active periods. Compensation Earn up to $17 per hour, depending on contribution level and pace. Rates may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different compensation levels based on their requirements.

Role Overview anyone-ai is building high-quality STEM training data to support the next generation of AI models. The team focuses on improving how AI systems reason through scientific problems. This role calls for expertise in biology to help shape the data that powers these advances. What You Will Do Create complex, deterministic biology problems that have a single, verifiable solution Develop solutions that mirror real scientific and analytical workflows, ensuring each answer is comprehensive and validated Work within your area of specialization, which may include molecular biology, genetics, systems biology, computational biology, bioinformatics, or other quantitative biology fields Location This is a remote position based in Uruguay.

Please submit your CV in English and indicate your English proficiency level. Toloka AI, in partnership with Mindrift, offers freelance, project-based work for US Bar-admitted legal professionals interested in artificial intelligence. This remote role supports AI training and evaluation for major technology companies. The position is non-permanent and assignments are based on project availability. Key Responsibilities Develop prompts to challenge and expand AI performance in legal scenarios Review AI-generated legal content, checking for accuracy, logical flow, and sound legal reasoning Refine AI reasoning to ensure alignment with core legal principles and industry norms Use structured scoring systems to evaluate how AI handles multi-step legal problems Requirements Admission to the US Bar and at least two years of legal practice in the United States Law degree (Bachelor, J.D., LLM, or FLLM) focused on US law Advanced written English skills (C1/C2 level) Reliable internet connection Interest in flexible, part-time, project-based work Application Process Submit an application and complete qualification steps Join projects and perform assigned tasks Receive payment after completing work Project Hours Most active project periods require around 10–20 hours per week. Actual hours may vary depending on project needs and timelines. There is no guaranteed minimum workload. Compensation Hourly rates can reach up to $21 per hour, depending on expertise and task completion. Pay may differ by project, based on complexity and required qualifications. Other projects on the platform may have different pay structures.

Toloka AI is looking for a freelance specialist with a strong background in both biology and Python programming. This remote contract is open to candidates based in Uruguay. Role overview This position centers on training and guiding AI systems for biological applications. The work involves applying subject matter knowledge in biology alongside Python skills to help develop and improve AI models. What you will do Use expertise in biology and programming to support the development of AI models Train and guide AI systems to enhance their performance in tasks related to biological data or problems Requirements Strong knowledge of biology Proficiency in Python Ability to work independently in a freelance, remote setting Based in Uruguay

Please submit your CV in English and indicate your English proficiency level. Mindrift connects specialists with project-based roles in artificial intelligence, focusing on testing, evaluating, and improving AI systems for major technology companies. These assignments are temporary and not permanent positions. Role overview This freelance position is designed for physicists with Python experience who are interested in part-time, non-permanent work. Projects may change over time, but typical responsibilities include: Creating original computational physics problems that reflect real research processes Designing problems that require Python programming to solve, often using libraries such as Numpy, SciPy, or Sympy Ensuring that problems are computationally intensive and not easily solvable by hand Developing challenges in areas like mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing tasks on actual research questions or practical physics applications Verifying solutions in Python, using established physics simulation libraries Documenting problem statements clearly and providing accurate, validated answers Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related discipline Proficiency in Python for numerical problem-solving; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar programming languages is also valued Minimum of 2 years of professional experience in research, teaching, or applied roles Background in numerical simulation techniques Ability to design problems that mirror real-world physics research Creativity in developing problems across several physics fields Familiarity with physics modeling and approximation methods Strong written English skills at C1 level or above How projects work Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks usually require 10–20 hours per week. Actual workload depends on project needs and may vary outside of active periods. Compensation Contributors can earn up to $17 per hour, depending on experience and task completion rate. Compensation varies by project, based on scope, complexity, and required expertise. Other projects on the platform may offer different pay rates according to their specific requirements. Location This is a remote, project-based role open to candidates located in Uruguay.

anyone-ai develops high-quality STEM training data that supports the progress of advanced AI models. The work produced here helps train and evaluate AI systems at leading research labs, with a focus on improving reasoning in specialized scientific areas. This remote role centers on designing and verifying challenging physics problems for AI training. Problems must have a single, correct answer and include a detailed, validated solution. The aim is to test deep physical reasoning and multi-step analysis, not just recall of facts. What you will do Create complex physics problems for AI systems to solve and learn from. Develop deterministic problems with one verifiable answer. Write thorough solutions that clearly explain the reasoning and steps involved. Design problems that require deep analytical skills and understanding of physics concepts. Use Python or other specialized tools for simulations, modeling, or computational workflows when needed. Ensure all materials are accurate, reproducible, and clearly written in English. Requirements Bachelor's, Master's, or PhD in Physics or a closely related field. Research or industry experience in theoretical, experimental, or computational physics. Proficiency in Python and familiarity with scientific libraries such as NumPy or SciPy. Strong background in modeling, simulation, numerical methods, and solving complex problems. Ability to design original, challenging problems that reflect real-world physics scenarios. Excellent attention to detail and technical writing skills in English. Preferred qualifications Experience creating educational content or working on AI training projects. Knowledge of modern AI methodologies and tools. This position is remote and open to candidates based in Uruguay.

anyone-ai is looking for a Mathematics AI Training Specialist based in Uruguay to help shape the next generation of AI reasoning. This remote position centers on building high-quality STEM training data that supports advanced AI models used by leading research labs. Role overview This specialist will design rigorous mathematical problems aimed at evaluating and improving AI system performance. Each problem must be challenging, test a range of mathematical skills, and include a single, clearly correct answer. A detailed, step-by-step solution must accompany every problem to ensure clarity and accuracy. What you will do Create original, well-structured mathematics problems for AI model training and assessment Ensure every problem has a unique, verifiable answer Write comprehensive solutions that explain the reasoning and steps involved Location This is a remote role open to candidates based in Uruguay.

Mindrift offers project-based freelance work for chemistry specialists with strong Python skills. This remote opportunity connects contributors in Uruguay with AI projects focused on computational chemistry, supporting the development and evaluation of AI systems for major tech clients. Participation is strictly on a project basis and does not imply permanent employment. Project Scope Create original computational chemistry problems that mirror real-world research workflows. Develop tasks requiring Python programming for solution, using libraries like NumPy, SciPy, and chemistry-specific packages. Design problems that are computationally intensive and cannot be solved manually in a reasonable timeframe. Formulate tasks involving complex reasoning in physical chemistry, quantum chemistry, and molecular modeling. Ensure problems align with genuine research challenges or practical chemistry applications. Validate solutions in Python using standard computational chemistry methods. Document each problem clearly and provide verified solutions. Candidate Profile Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or other relevant libraries is a plus. At least 2 years of relevant experience in applied work, research, or teaching. Background in numerical methods and computational chemistry concepts. Excellent written English (C1 level or higher). How to Join Apply with a CV in English and indicate your English proficiency level. Pass qualification steps. Join a project. Complete assigned tasks. Receive compensation. Time Commitment Expect to contribute approximately 10–20 hours per week during active project phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Earnings can reach up to $17 per hour, depending on expertise and pace. Compensation may differ by project scope, complexity, and required skills.

Toloka AI is looking for a freelance AI trainer who combines civil engineering experience with strong Python programming skills. This contract role is fully remote and open to professionals based in Uruguay. Role overview This position centers on supporting learners as they apply artificial intelligence to civil engineering projects. The focus is on practical instruction and guidance, helping others use Python effectively in real-world engineering scenarios. What you will do Train and mentor individuals or groups in the use of AI for civil engineering applications Share hands-on Python programming knowledge relevant to engineering tasks Contribute to the advancement of AI technologies by guiding learners and providing feedback Location This freelance role is remote and available to candidates residing in Uruguay.

Role overview Toloka AI seeks a freelance AI Trainer with expertise in both mechanical engineering and Python programming. This contract position is fully remote and available to professionals based in Uruguay. Responsibilities Create and deliver training programs centered on AI applications in mechanical engineering. Develop course materials and practical exercises that demonstrate how Python is used in mechanical systems. Lead participants through hands-on projects and collaborative problem-solving sessions. Manage training sessions and provide ongoing support as learners develop new skills. Requirements Background in mechanical engineering. Proficient Python programming abilities. Talent for explaining technical topics and producing engaging educational resources. Interest in AI technologies and their use within engineering fields. Location This is a remote freelance role for candidates residing in Uruguay.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based roles connecting skilled professionals with AI-focused work for leading technology companies. Projects involve testing, evaluating, and improving AI systems. This is a contract position, not a permanent role. Role overview The Freelance Electrical Engineer & Python Specialist - AI Trainer works remotely from Uruguay, designing and validating engineering challenges to help train AI models. The position centers on creating computational problems and Python assignments that reflect real-world engineering scenarios. Main responsibilities Develop computational engineering problems that reflect actual engineering tasks Create Python programming assignments for calculations and simulations Ensure problems require rigorous computational thinking, such as numerical methods or iterative approaches Design tasks focused on system design, optimization, and analysis Base challenges on real research questions or practical engineering situations Validate solutions using Python and standard engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Electrical Engineering or a related field Strong Python skills 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) Understanding of practical engineering constraints and approximations Excellent written English (C1+ level) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus How projects work Apply Complete qualification(s) successfully Join a project Complete assigned tasks Receive payment Time commitment Active projects typically require about 10–20 hours per week, depending on project needs. This is an estimate, not a guaranteed workload. Compensation Earn up to $17 per hour, depending on expertise and pace. Actual rates may vary by project based on scope, complexity, and required experience. Other projects on the platform may offer different pay structures.