Math AI Training Specialist

We encourage you to submit your CV in English, specifying your proficiency level in the language.Mindrift serves as a bridge connecting skilled professionals with project-based AI roles at leading technology firms, centered on the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project-by-project basis, not as a per…

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we connect talented specialists with project-based AI opportunities for top-tier tech companies, focusing on the evaluation and enhancement of AI systems. Note that participation is project-based and does not imply permanent employment.Opportunity Overview:Each project presents unique challenges, and contributors will have the opportunity to:Craft original computational engineering problems that reflect real-world engineering workflows;Design challenges that necessitate Python programming for solving engineering calculations and simulations;Ensure tasks are computationally demanding, utilizing numerical methods or iterative solutions;Develop engineering problems centered around system design, optimization, and analysis;Base tasks on genuine research challenges or practical engineering applications;Validate solutions using Python and recognized engineering libraries;Clearly document problem statements and provide verified correct answers.Desired Qualifications:This role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applicable fields such as applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ proficiency);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international projects are advantages.Project Structure:Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Time Commitment:Project tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors may earn up to $17 per hour, based on their experience and contribution pace. Compensation levels may vary across projects according to their scope and complexity.

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.

Please submit your CV in English, clearly indicating your English proficiency level.Mindrift serves as a bridge connecting specialists with project-oriented opportunities in AI for renowned technology companies, with a focus on the evaluation, testing, and enhancement of AI systems. This role is project-based and does not guarantee permanent employment.Role OverviewEach project presents distinct challenges, where contributors may be tasked with:Formulating original computational statistics problems that mimic authentic mathematical research processes;Crafting Python-based problems that necessitate programming solutions (utilizing libraries like Numpy, SciPy, Sympy);Ensuring that problems are computationally demanding, requiring extensive timeframes for resolution (days/weeks);Creating problems that necessitate complex reasoning across fields such as number theory, combinatorics, graph theory, and numerical analysis;Grounding problem statements in real-world research challenges or practical applications in mathematics;Validating solutions through Python using standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis opportunity is well-suited for statistics experts with Python experience who are interested in flexible, non-permanent projects. Qualified candidates should possess:A degree in Statistics or a related discipline;Proficiency in Python for numerical validation; experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable;A minimum of 2 years of relevant professional experience in applied, research, or educational settings;Strong written English skills (C1 or higher);Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.WorkflowApplication → Qualification Assessment → Project Onboarding → Task Completion → CompensationProject Commitment ExpectationsFor this role, it is estimated that active project phases will demand approximately 10 to 20 hours of work weekly, subject to project specifications. This is an estimation and not a guaranteed workload during project activity.CompensationContributors can earn up to $17 per hour, contingent on their experience and contribution pace. Compensation may differ across projects based on scope, complexity, and required expertise, with potential for varying earning levels across different projects on the platform.

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.

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

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.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift is a dynamic platform that connects skilled professionals with project-based AI opportunities from top technology firms. Our focus is on enhancing, testing, and evaluating AI systems through specialized tasks. Note that this role is project-based rather than a permanent position.What You Will Be Doing:Crafting original computational physics problems that replicate authentic physics research workflows;Developing challenges that necessitate Python programming for solutions (using libraries such as Numpy, SciPy, Sympy);Creating computationally intensive problems that require extensive timeframes for resolution (days to weeks);Formulating problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical physics applications;Validating solutions using Python with standard physics simulation libraries;Providing clear documentation for problem statements along with verified correct answers.What We Are Looking For:This role is ideal for physics graduates with Python experience who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with alternative proficiency in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages being acceptable;At least 2 years of professional experience, encompassing applied, research, or teaching roles;Familiarity with numerical simulation methods;The ability to design problems that closely reflect real physics research processes;Innovative problem design skills across various physics disciplines;A strong command of written English (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get paidProject Commitment:During active phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project needs. This is an approximation and not a guaranteed workload.Compensation:Contributors can earn up to $17 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Please note that different projects on our platform may offer varying compensation levels based on their specific requirements.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift is a dynamic platform that connects specialists with exciting project-based AI opportunities from top technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based rather than permanent employment.Opportunity Overview:While each project presents unique challenges, contributors will typically be tasked with:Designing innovative computational physics problems that emulate authentic research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring tasks are computationally demanding, requiring extended timeframes (days/weeks) for resolution;Creating problems that involve complex reasoning chains in areas including mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical applications from the field of physics;Validating solutions through Python with standard physics simulation libraries;Documenting problem statements comprehensively and providing confirmed correct answers.Ideal Candidate Profile:This role is well-suited for optical engineers experienced in Python, looking for part-time, non-permanent projects. The ideal contributors will possess:A 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 any domain-specific programming language is acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;The capability to design problems that reflect actual physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation methodologies;Strong written English skills (C1+ level).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time Commitment:During active phases of the project, tasks are estimated to require approximately 10–20 hours per week, based on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $17 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced specialists with project-based AI roles at leading technology companies. Assignments focus on testing, evaluating, and improving AI systems. All roles are project-based and do not represent permanent employment. Role overview This freelance position calls for a Material Scientist with strong Python skills. Projects involve engineering and programming challenges, with each assignment offering new technical problems and the chance to influence AI tools built for engineering applications. Key responsibilities Create original material engineering problems based on real-world workflows Design tasks that require Python programming for engineering calculations and simulations Ensure problems include computationally intensive tasks, numerical methods, or iterative solutions Formulate questions centered on system design, optimization, and analysis Base assignments on real research challenges or practical engineering scenarios Validate solutions using Python and standard engineering libraries Document problem statements and provide verified answers Requirements Degree in Material Science or a related field Proficient in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued Minimum of 2 years' professional experience in applied, research, or teaching roles Strong understanding of practical engineering constraints and real-world approximations Excellent written English (C1 level or higher) Project commitment Expect to dedicate roughly 10–20 hours per week during active project phases. Actual workload may change depending on project needs and timing. Compensation Earn up to $17 per hour, based on experience and contribution speed. Compensation for other projects on the platform may vary depending on complexity and requirements. How to apply Submit your CV in English and indicate your English proficiency level Complete qualification steps Join a project when selected Finish assigned tasks Receive payment Location: Remote, Uruguay

We invite you to submit your CV in English, including your proficiency level in the language.Mindrift specializes in connecting talented professionals with project-based AI opportunities for leading technology firms, with a focus on the testing, evaluation, and enhancement of AI systems. Please note: Participation is project-based, not permanent employment.Opportunity Overview:Each project presents distinct tasks, and contributors may be engaged in the following:Designing innovative material engineering problems that mirror authentic engineering workflows;Creating problems that require Python programming for engineering calculations and simulations;Ensuring problems are computationally intensive, necessitating numerical methods or iterative solutions;Developing problems that incorporate system design, optimization, and analysis;Grounding problems in genuine research challenges or practical applications derived from engineering practice;Verifying solutions using Python with standard engineering libraries;Documenting problem statements clearly and providing verified correct answers.Qualifications We Seek:This role is ideal for material scientists and engineers with Python experience, open to part-time, non-permanent projects. The preferred candidates will possess:A degree in Material Science or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any comparable programming language is acceptable;At least 2 years of professional experience, including applied work, research, or teaching;A strong understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+).Project Workflow:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time Commitment:Estimated tasks will require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Participants can earn up to $17 per hour, influenced by their contribution level and speed. Compensation varies across projects based on scope, complexity, and required expertise. Please note, other projects on the platform may offer different earning potentials based on their specific requirements.

We invite you to submit your CV in English, highlighting your level of English proficiency.Mindrift specializes in connecting skilled professionals with project-based AI opportunities for prominent technology companies, with a focus on testing, evaluating, and enhancing AI systems. This is a project-based role rather than permanent employment.What You Will Be Doing:While each project involves distinct tasks, contributors may be expected to:Design original computational physics problems that reflect authentic physics research workflows;Develop problems that necessitate Python programming for resolution (using libraries such as Numpy, SciPy, and Sympy);Ensure problems are computationally intensive and cannot be manually solved within a reasonable timeframe (days/weeks);Create problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research challenges or practical applications from the field of physics;Validate solutions utilizing Python with standard physics simulation libraries;Clearly document problem statements and provide verified correct solutions.What We Are Looking For:This position is ideal for physicists with Python experience who are open to part-time, project-based work. Candidates should possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language can be considered equivalent;At least 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation methods;The ability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across diverse areas of physics;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Time Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active periods, depending on project needs. This is an estimation and does not guarantee a fixed workload during the project's active phase.Compensation:Contributors can earn up to $17 per hour, depending on their skill level and contribution pace. Compensation may vary across projects based on their complexity, scope, and required expertise. Other projects on our platform may offer different earning potential based on their specific requirements.

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

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.

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.

Are you passionate about the intersection of physics and artificial intelligence? Join anyone-ai as a Physics AI Training Specialist in Uruguay, where you'll have the opportunity to shape cutting-edge AI models with your expertise in physics. Collaborate with a team of innovative thinkers and contribute to groundbreaking projects that push the boundaries of technology.Your role will focus on developing training materials and methodologies to enhance AI learning capabilities specifically in the field of physics. This position offers a unique chance to leverage your scientific knowledge and technical skills in a rapidly evolving industry.

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.

Join our dynamic team at Toloka AI as a Freelance Data Scraping Engineer. In this remote role, you will leverage your expertise in Python to extract and manipulate data from various online sources. Your skills will be crucial in enhancing our data-driven solutions and ensuring the accuracy and relevance of the information we provide to our clients.