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.

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.

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.

toloka-ai is seeking a Strategy Consultant to support AI training and evaluation projects. This position is fully remote and open to professionals located in Uruguay. Key responsibilities Collaborate with leading consulting firms, including MBB and other top-tier organizations, on AI-focused projects. Use expertise in artificial intelligence to inform project strategies and oversee execution. Create actionable recommendations and insights to support meaningful AI initiatives. Location This is a remote role for candidates based in Uruguay.

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.

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.

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 permanent employment position.Opportunity Overview:Each project presents distinct tasks, including but not limited to:Designing innovative computational engineering challenges that replicate genuine engineering workflows.Creating programming problems that require Python coding for engineering calculations and simulations.Ensuring tasks are computationally demanding, necessitating numerical methods or iterative solutions.Developing challenges involving system design, optimization, and analysis.Grounding problems in real-world research issues or practical engineering applications.Validating solutions using Python alongside standard engineering libraries.Clearly documenting problem statements and providing verified correct answers.Qualifications We Seek:This role is ideal for engineers skilled in Python and interested in part-time, non-permanent project engagements. The ideal candidates will possess:A degree in Electrical Engineering or a related discipline.Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages considered equivalent.A minimum of 2 years of professional experience, whether applied, research, or teaching.A solid understanding of practical engineering limitations and approximations.Excellent written English skills (C1 level or higher).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Participate:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active phases, depending on project demands. This is an estimate and not a guaranteed workload.Compensation:Participants can earn up to $17 per hour, contingent upon their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and expertise needed. Please be aware that other projects on the platform may offer different compensation rates based on their specific requirements.

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.

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.

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.

Join Anyone-AI as an AI Software Engineering Trainer in Uruguay! In this dynamic role, you will leverage your expertise in AI and software engineering to educate and train aspiring professionals.As an AI Software Engineering Trainer, you will create and deliver engaging training sessions, develop educational materials, and provide mentorship to students. Your passion for technology and ability to communicate complex concepts will inspire the next generation of software engineers.

We invite you to submit your CV in English, detailing your proficiency in the English language.Mindrift connects specialists with project-based AI opportunities for prestigious tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation in projects is project-based and does not imply permanent employment.Opportunity OverviewEach project presents distinct tasks, allowing contributors to:Create prompts that challenge AI capabilities;Assess AI-generated solutions for accuracy, underlying assumptions, and logical coherence;Enhance AI reasoning to align with fundamental principles and accepted standards;Utilize structured scoring criteria to evaluate multi-step problem-solving approaches.Ideal Candidate ProfileThis position is well-suited for legal consultants and attorneys with experience in US law who are open to part-time, non-permanent projects. The ideal contributors will possess:A degree in law (Bachelor's, J.D., LLM, or FLLM) relevant to the US context;A minimum of 2 years of legal practice experience within the US jurisdiction;Exceptional written English skills (C1/C2 level);A reliable internet connection.How This WorksApply → Successfully pass qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Time CommitmentDuring active phases, tasks are expected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload applicable only while the project is active.Compensation DetailsContributors can earn up to $21 per hour, contingent on their experience and contribution pace. Compensation may vary across projects due to scope, complexity, and expertise required. Be aware that other projects may offer different compensation levels based on their specific needs.

Mindrift bridges the gap between specialists and project-based AI opportunities with leading technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that this is a project-based engagement, not a permanent position.About the RoleAs a Procurement and Supply Chain Consultant, you will leverage your extensive hands-on experience to create realistic disruption scenarios, outline expected outcomes and mitigation strategies, and assess AI-generated recommendations for their accuracy, completeness, and relevance to business needs.Your ResponsibilitiesWhile each project may present unique challenges, contributors may be expected to:Craft realistic supply chain disruption scenarios such as supplier delays, quantity fluctuations, logistical challenges, and quality failures, rooted in real-world manufacturing and procurement contexts.Define anticipated outcomes and appropriate mitigation strategies for each scenario.Critique AI-generated responses and recommendations based on real-world business logic.Evaluate outputs for accuracy, completeness, and relevance within ERP systems (particularly with Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP)).Participate in structured data creation and validation tasks in accordance with established guidelines and frameworks.Qualifications We SeekA minimum of 4 years of hands-on experience in procurement, supply chain, or purchasing, preferably within a manufacturing context.Strong understanding of procurement workflows, including purchase orders, vendor management, inventory, and production planning.Practical experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.Demonstrated ability to design and analyze supply chain disruption scenarios and corresponding mitigation strategies.Comprehensive knowledge of various types of disruptions: delays, shortages, quality issues, and logistical challenges.Familiarity with Incoterms and transportation/logistics management.Understanding of Bill of Materials (BOM) structures and production planning processes.Experience with supplier performance metrics like OTIF, lead times, and quality scores.Analytical mindset capable of evaluating AI outputs against real-world business logic.Experience in data validation, structured data entry, or annotation tasks.Exceptional written communication skills in English.How the Process WorksTo apply, submit your application → Pass necessary qualifications → Join a project → Complete tasks → Receive payment.Project Time ExpectationsThis project is estimated to require approximately 10-20 hours of work per week during active phases, dependent upon project requirements. This is an estimate and not a guaranteed workload.CompensationParticipants in this project can earn up to $50 per hour, depending on experience and project requirements.

Toloka AI seeks a Computer Science Specialist with strong Python skills to join its remote team in Uruguay. This position centers on supporting artificial intelligence projects and contributing to the development of new technologies. Role overview This role involves hands-on work in AI projects, where Python is a primary tool. Collaboration is key, with regular teamwork and communication in a distributed setting. What you will do Work on active artificial intelligence projects using Python Participate in team discussions and joint problem-solving Requirements Strong foundation in computer science Demonstrated experience with Python Genuine interest in AI Ability to work remotely and collaborate online Location This is a remote role open to candidates based in Uruguay.

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.