Freelance AI Trainer - Statistics & Python Specialist

Please submit your CV in English and indicate your English proficiency level. About Mindrift Mindrift connects skilled specialists with project-based roles in artificial intelligence for leading technology companies. The focus is on testing, evaluating, and improving AI systems. These are project-based assignments, not permanent positions. Role Overview This freelance opportunity is for physicists with Python experience who can contribute on a part-time, non-permanent basis. Projects vary, and contributors may: Create original computational physics problems that reflect real research processes Design problems requiring Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensure problems are computationally demanding and not solvable by hand within a reasonable timeframe Develop challenges involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base tasks on actual research questions or practical physics applications Verify solutions in Python, using established physics simulation libraries Document problem statements clearly and provide accurate, validated answers What We Look For Degree in Physics (theoretical, experimental, or computational) or a closely related field Proficiency in Python for numerical problem-solving; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or other relevant programming languages is also welcome At least 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 multiple physics disciplines Familiarity with physics modeling and approximation methods Strong written English skills at C1 level or higher How Projects Work Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time Commitment During active phases, tasks typically require 10–20 hours per week. Actual workload may vary depending on project needs and is not guaranteed outside active project 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 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.

Role Overview Toloka AI is looking for a Freelance AI Trainer with a background in Mechanical Engineering and Python programming. This remote contract is open to candidates based in Uruguay. What You Will Do Design and deliver training programs focused on AI applications in mechanical engineering. Develop course materials and hands-on exercises that highlight real-world use of Python in mechanical systems. Guide participants through practical projects and problem-solving sessions. Oversee the implementation of training sessions and support learners as they build new skills. What You Bring Professional experience in mechanical engineering. Strong Python programming skills. Ability to explain technical concepts clearly and create engaging educational content. Interest in AI technologies and their applications within engineering. Location This freelance role is remote and open to candidates located in Uruguay.

Please submit your CV in English and specify your English proficiency level. About Mindrift Mindrift connects skilled professionals with project-based AI work for leading tech companies. Projects focus on testing, evaluating, and improving AI systems. This is a contract-based role, not a permanent position. Role Overview As a Freelance Electrical Engineer & Python Specialist - AI Trainer, you will design and validate engineering challenges to help train AI models. This work is remote and open to candidates based in Uruguay. Main Responsibilities Create computational engineering problems that mirror real-world engineering tasks Develop Python programming assignments for engineering calculations and simulations Ensure each problem requires rigorous computational thinking, such as numerical methods or iterative solutions Design tasks centered on system design, optimization, and analysis Base challenges on authentic research questions or practical engineering scenarios Validate solutions using Python and standard engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Electrical Engineering or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other relevant libraries is also valued At least 2 years of relevant professional 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 During active projects, expect to spend 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.

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.

Please submit your CV in English and state your English proficiency level. About Mindrift Mindrift connects skilled professionals with project-based AI work for leading technology companies. The focus is on testing, evaluating, and improving AI systems. This is a freelance, project-based role, not a permanent position. Role Overview This freelance opportunity is designed for optical engineers with strong Python skills who want flexible, part-time work. Projects involve creating and validating computational physics problems that mirror real research and practical applications. What You Will Do Create original computational physics problems that reflect actual research workflows. Develop problems requiring Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and not solvable manually within a few days or weeks. Design challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problems on real research scenarios or practical physics applications. Validate solutions with Python and established physics simulation libraries. Document problem statements clearly and provide accurate solutions. What We Look For Degree in Physics (theoretical, experimental, or computational) or a related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or other programming languages is also valued. At least 2 years of professional experience in applied work, research, or teaching. Background in numerical simulation techniques. Ability to design problems that represent authentic research workflows in physics. Creative problem-solving across multiple areas of physics. Understanding of physics modeling and approximation methods. Excellent written English skills (C1 level or above). How the Process Works Apply → Pass qualifications → Join a project → Complete tasks → Get compensated Time Commitment During active projects, tasks typically require 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Earn up to $17 per hour, depending on expertise and task completion rate. Pay may differ by project scope, complexity, and required skills. Other projects on the platform may offer different rates. Location This is a remote position based in Uruguay.

Please submit your CV in English and specify your English proficiency level. About Mindrift Mindrift connects skilled specialists with project-focused AI initiatives for leading technology companies. The team works on testing, evaluating, and improving AI systems. This is a project-based, freelance role, not a permanent position. Role Overview Freelance Quantum Research Scientists & AI Trainers contribute to a range of projects, each with distinct challenges. Typical tasks include: Creating original computational physics problems modeled on authentic research methods Developing problems that require Python programming to solve, often using libraries like Numpy, SciPy, and Sympy Designing computationally intensive tasks that cannot be solved manually within a reasonable timeframe Formulating problems demanding advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing tasks on real-world research scenarios or practical physics applications Validating solutions with Python and established physics simulation libraries Documenting problem statements clearly and providing verified solutions Who We’re Looking For This project suits quantum researchers with strong Python skills, interested in part-time, temporary assignments. Preferred qualifications: 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 languages/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 project periods, expect to spend about 10–20 hours per week, depending on project requirements. Actual workload may vary. Compensation Earn up to $17 per hour, depending on contribution and pace. Rates vary by project based on scope, complexity, and expertise required. Other projects on the platform may offer different compensation structures. Location: Remote , Uruguay

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

Please submit your CV in English and specify your English proficiency level. Mindrift, in partnership with toloka-ai, connects specialists to project-based AI work for major technology companies. This freelance Optical Engineer role centers on testing, evaluating, and improving AI systems. The position is project-based and not permanent. Key responsibilities Design original optical problems that reflect real-world physics research workflows Develop computationally intensive problems that cannot be solved manually in a short timeframe Create scenarios requiring advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on current research challenges or practical applications in optics and physics Document problem statements clearly and provide verified, correct solutions Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field Minimum 2 years of experience in applied, research, or teaching roles Hands-on experience with numerical simulation techniques Ability to design problems that mirror real research workflows Creative approach to problem design across various physics domains Familiarity with physics modeling and approximation methods Strong written English skills at C1 level or above How the process works Apply Pass qualifications Engage in a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks typically require about 10 to 20 hours per week. This is an estimate and not a guaranteed workload. Hours are relevant only while the project is active. Compensation Contributors can earn up to $17 per hour, depending on experience and pace. Pay may vary by project based on scope, complexity, and required expertise. Other projects on the platform may offer different compensation levels depending on requirements. Location This is a remote position 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.

Please submit your CV in English and include your English proficiency level. About Mindrift Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role Overview As a Freelance Research Physicist with Python expertise, each project brings new challenges. Contributors may work on tasks such as: Designing original computational physics problems that reflect real research workflows Developing Python-based problems using libraries like Numpy, SciPy, and Sympy Ensuring problems are computationally intensive and not easily solved by hand Creating scenarios requiring advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Drawing inspiration 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 Who Should Apply This contract role suits physicists with Python experience who are interested in flexible, part-time projects. Typical qualifications include: Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued At least 2 years of professional experience in applied research or teaching Background in numerical simulation techniques Ability to design problems that mirror real-world 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 are estimated to require 10–20 hours per week during active phases, depending on project needs. This is an approximate range and not a guaranteed workload. Compensation Contributors may earn up to $17 per hour, depending on expertise and pace. Actual pay can vary by project scope, complexity, and required skills. Other projects on the platform may offer different rates based on their needs.

Role overview Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join projects that help advance artificial intelligence. This remote role is available to candidates living anywhere in Uruguay. The position involves producing and improving content that supports AI development and helps inform the wider community. What you will do Research topics connected to artificial intelligence and data training Write and edit articles aimed at educating and engaging Toloka AI’s audience Provide feedback and insights on AI training processes Requirements Interest in both journalism and technology Strong skills in writing and editing Ability to work independently from within Uruguay Curiosity about AI and its effects

Toloka AI seeks a Freelance English Writer - AI Trainer to join its remote team in Uruguay. This contract position focuses on producing and refining English-language content that supports the development of AI training programs. Writers in this role help shape the quality and clarity of AI models by working closely with a collaborative team. Key responsibilities Create and edit English-language materials designed for AI training purposes Work with fellow writers and subject matter experts to ensure content is accurate and clear Offer feedback and suggestions to help improve the performance of AI models Location This is a remote role for candidates based in Uruguay.

Mindrift seeks a Freelance Python Data Scraping Engineer to join the Tendem project. This remote, part-time position is based in Uruguay and centers on building and refining data scraping workflows for a system that blends AI and human input. The role involves collaborating with Tendem Agents who handle repetitive tasks, while you focus on technical challenges and ensuring high data quality. What you will do Extract complex data from a range of challenging websites, delivering accurate and well-structured datasets. Work with internal tools such as Apify and OpenRouter, along with custom workflows, to collect, validate, and process data as required by each project. Adapt scraping methods to handle dynamic or interactive sites, including those with JavaScript-rendered content and frequent updates. Apply thorough data validation and consistency checks across multiple sources before delivering final datasets. Scale scraping operations for larger volumes using batching or parallel processing, monitor for failures, and maintain workflow stability as site structures evolve. Requirements Minimum 3 years of experience in data engineering, web scraping, or automation. Compensation Earn up to $21 per hour, depending on experience, project complexity, and contribution speed. Rates may vary for other projects based on their scope and skill requirements. How to apply Submit an application to be considered for projects that match your background and availability. Whether your expertise is in coding, automation, or refining AI outputs, your work will help advance AI capabilities for practical use.

Role Overview Toloka AI is looking for a Freelance Legal Consultant with deep knowledge of US law. This remote position is based in Uruguay. The consultant will use legal expertise to support the training of AI systems, helping improve their understanding of legal concepts and frameworks relevant to the United States. What You Will Do Apply US legal knowledge to guide the development and training of AI models Collaborate with teams from different disciplines to ensure accuracy and relevance in legal data Offer insights on legal nuances and frameworks to help shape AI-driven legal technology

Role overview Toloka Annotators seeks a freelance AI Trainer - Data Annotation Specialist to help improve AI systems by providing accurate data labeling. This contract role is remote and open to candidates living in Uruguay. What you will do Label and annotate various types of data for machine learning projects Review data to confirm accuracy and quality for use in AI models Work independently, following project guidelines and meeting deadlines Requirements Strong attention to detail and consistency when handling data tasks Interest in artificial intelligence and its practical uses Ability to manage your own schedule and work remotely This freelance position is fully remote and available to those based in Uruguay.

Mindrift matches experienced professionals with project-based AI roles for top technology companies. The team works to test, evaluate, and improve AI systems, aiming to drive innovation and efficiency. Role overview The Freelance Supply Chain Consultant - AI Trainer brings practical procurement and supply chain knowledge to help shape and assess AI-powered solutions. This work involves designing realistic disruption scenarios, outlining expected outcomes, and evaluating AI recommendations for accuracy and relevance. What you will do Create supply chain disruption scenarios based on real manufacturing and procurement challenges, such as supplier delays, order changes, logistics problems, and quality failures. Define expected results and practical mitigation strategies for each scenario. Review and assess AI-generated recommendations to ensure they align with established business logic. Evaluate outputs for accuracy and relevance within ERP systems, especially Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Help create and validate structured data, following specific guidelines. Requirements Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, ideally within manufacturing. Solid understanding of procurement workflows, including purchase orders, vendor management, inventory control, and production planning. Practical experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365. Ability to design and analyze supply chain disruption scenarios and develop mitigation strategies. Knowledge of disruption types like delays, shortages, quality issues, and logistics challenges. Familiarity with Incoterms and transportation or logistics management. Understanding of Bill of Materials (BOM) structures and production planning. Experience tracking supplier performance metrics such as OTIF, lead times, and quality scores. Strong analytical skills for evaluating AI outputs against business logic. Background in data validation, structured data entry, or annotation tasks. Excellent written English communication. How the process works Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment Projects usually require about 10-20 hours per week during active phases. The actual workload may vary and is not guaranteed outside these periods. Compensation Contributors can earn up to $50 per hour, depending on experience and project specifics. Location This is a remote position 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.