Freelance AI Trainer - English Annotator

Submit your resume in English, including your proficiency level. Toloka offers freelance online tasks that contribute to the development of artificial intelligence. The company operates remotely and collaborates with major technology firms, engaging skilled individuals in Generative AI projects from around the world. Toloka Annotators participate in projects that require human input and careful attention to detail. The team supports AI progress by working directly with leading tech companies on a variety of assignments. Role overview The Freelance AI Trainer - English Annotator helps AI systems improve their understanding of language and context. This remote role is based in Uruguay and involves taking part in online projects. Typical tasks include: Evaluating AI-generated content Checking for factual accuracy Comparing different AI responses when required Key responsibilities Review data sets, which may include text, images, or videos Label and categorize content according to detailed project guidelines Identify and flag content that is factually incorrect, sensitive, inappropriate, or unclear Important: This is project-based freelance work. Tasks are available only when projects are active, and invitations to participate depend on your profile and current needs. Compensation Rates vary by project complexity and required skills. AI trainers can earn up to $10 per hour. For more information, visit https://toloka.ai/.

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.

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.

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

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 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.

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

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.

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.

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

Role Overview Toloka AI 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

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.

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

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.

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 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.

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.

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.

Role Overview anyone-ai is hiring a Backend Developer - AI Trainer in Uruguay. This role focuses on building and improving backend systems that support the training and deployment of artificial intelligence models. The position plays a key part in the development team, shaping the technology that powers AI solutions at anyone-ai. What You Will Do Create backend systems to support AI model training and deployment Optimize existing infrastructure for performance and reliability Work closely with team members to deliver technical solutions Who We're Looking For Experience building and maintaining backend systems Interest in artificial intelligence and its applications Collaborative mindset and willingness to contribute to team goals This position is based in Uruguay and offers the chance to work on technology at the intersection of backend development and AI.