AI Trainer - Freelance Data Annotator

Please submit your resume in English and indicate your level of English. Toloka connects people worldwide with freelance online tasks that support the training and improvement of artificial intelligence systems. What Annotators Do As a Freelance Annotator (English) - AI Trainer, you will contribute to Generative AI projects for major technology companies. The work centers on involving real people in the development and refinement of AI by supplying high-quality data and feedback. Role Overview Annotators help teach AI systems about the world. Depending on project availability, tasks may include rating AI-generated content, checking for factual accuracy, or comparing different responses. Key Responsibilities Review and analyze data, which can include text, images, or videos. Label or categorize content following project guidelines. Report material that is factually incorrect, sensitive, inappropriate, or unclear. Project Details This is a project-based freelance position. Tasks are offered only when projects are active, and invitations depend on your profile and current project needs. Compensation Pay depends on project scope and required expertise. AI trainers can earn up to $23 per hour.

Join our dynamic team as a Freelance AI Trainer specializing in Social Media Annotation! In this role, you will contribute to the development of cutting-edge AI models by accurately annotating social media content. Your insights will help improve the performance of AI systems and shape the future of technology.

Please submit your CV in English and include a self-assessment of your English proficiency. Mindrift, in partnership with toloka-ai, offers freelance, project-based work for experienced data scientists. This role supports technology companies as they test, evaluate, and improve AI systems. Engagements are project-specific and do not represent permanent employment. Key responsibilities Create original data science challenges that mirror real-world analytical workflows in sectors like telecommunications, finance, government, e-commerce, and healthcare. Develop problems requiring advanced Python programming with libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Design computationally intensive tasks that cannot be solved manually within a reasonable timeframe. Build scenarios involving complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and deriving actionable insights. Ensure all problems are deterministic and reproducible by avoiding stochastic elements or by setting fixed random seeds. Base challenges on real business use cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Develop end-to-end problems that span the full data science pipeline: data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. Include big data processing scenarios that need scalable computational approaches. Validate solutions in Python using standard data science libraries and statistical methods. Document each problem with a clear business context and provide verified correct answers. Location This is a remote freelance role based in Queensland, Australia.

Role overview Toloka AI seeks a Freelance English Writer - AI Trainer to help shape and refine artificial intelligence systems. This contract role centers on producing clear, effective written content that supports the training and accuracy of AI models. What you will do Create and edit English-language materials used for AI training Work on projects that review, improve, and assess AI-generated text Collaborate remotely with a diverse team of professionals Location This remote position is open to candidates based in Queensland, Australia. Work can be performed from any location with reliable internet access.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote position is based in Queensland, Australia and centers on advancing AI in the biological sciences. Role overview This role involves developing and refining AI models by applying expertise in both biology and programming. The work supports new advances in how AI is used within biological research and applications. What you will do Collaborate with a diverse team to design and improve training materials Participate in model training sessions, using knowledge of biology and Python to guide AI development Work environment This freelance position offers the flexibility of remote work and the chance to contribute meaningfully to the AI community, particularly at the intersection of technology and biological science.

Toloka AI seeks a Freelance Junior Journalist - AI Trainer for a remote contract based in Queensland, Australia. This role blends journalism skills with AI model training tasks. What you will do Create original written content on a range of topics Contribute to the development and improvement of AI models by providing feedback and data Role focus This position centers on both content creation and practical work with AI systems. Assignments may cover various subjects, requiring adaptability and clear communication. Location This is a remote contract for candidates based in Queensland, Australia.

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, through Mindrift, is looking for freelance Research Physicists and AI Trainers for remote, project-based assignments in Queensland, Australia. Contributors support top technology companies by testing, evaluating, and improving AI systems. This arrangement is not permanent employment; participation is linked to specific projects as they arise. Role overview This contract role centers on developing original optics problems that reflect real-world physics research. Assignments often involve designing scenarios that require significant computational resources, making manual solutions impractical. Work spans advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics, with each challenge based on authentic research issues or practical applications. Clear documentation and accurate solutions are expected for every problem created. Responsibilities Create original optics problems modeled after actual research workflows Design challenges requiring extensive computation, beyond manual solving Develop scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics Ground problems in real research or practical physics applications Document problems and provide thoroughly verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of experience in applied physics, research, or teaching Familiarity with numerical simulation techniques Ability to design problems that reflect real research processes Creative problem-solving skills across various physics domains Experience with physics modeling and approximation Strong written English skills at C1 level or higher Project details During active project periods, tasks generally require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed. Commitment is expected only while assigned to a current project. Compensation Contributors may earn up to $35 per hour, with rates varying by project based on scope, complexity, and required expertise. Other projects on the platform may offer different compensation depending on their requirements. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation

Please submit your CV in English and include your English proficiency level. Role overview toloka-ai, working with Mindrift, offers freelance project-based assignments for specialists in statistics and Python. This is not a permanent position. Projects connect contributors with AI initiatives for leading technology clients. What you will do Develop original computational statistics problems that mirror real research methods. Create challenges solvable with Python, using libraries such as Numpy, SciPy, and Sympy. Design problems that are computationally demanding, often requiring significant time to solve manually. Formulate tasks involving advanced reasoning in number theory, combinatorics, graph theory, and numerical analysis. Base assignments on authentic research questions or practical mathematical scenarios. Validate solutions in Python using standard mathematical libraries. Document each problem clearly and supply accurate, verified answers. Requirements Degree in Statistics or a closely related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued. At least 2 years of relevant experience in applied, research, or teaching roles. Strong written English skills at C1 level or above. Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered an advantage. Project process The workflow includes: Application, Qualification Assessment, Project Participation, Task Completion, and Compensation. Time commitment During active project phases, expect to contribute roughly 10–20 hours per week. Actual hours depend on project needs and are not guaranteed outside of active assignments. Compensation Earn up to $38 per hour. Actual rates depend on project complexity, required expertise, and individual contributions. Pay may vary between assignments. Location This is a remote position based in Queensland, Australia.

Toloka AI seeks a Mechanical Engineer with strong Python programming skills for a freelance, remote role based in Queensland, Australia. This contract position focuses on training and content development at the intersection of mechanical engineering and artificial intelligence. Responsibilities Design and develop training modules that highlight AI applications in mechanical engineering Create educational materials tailored for engineers, ensuring clarity and engagement Lead training sessions for learners interested in combining AI with mechanical systems Collaborate with the engineering team to maintain the accuracy and relevance of all content Requirements Background in mechanical engineering Strong proficiency in Python Experience with teaching, mentoring, or creating technical educational content Interest in artificial intelligence and its applications within engineering Location This freelance position is remote and open to candidates based in Queensland, Australia.

Please submit your CV in English and indicate your level of English proficiency. Mindrift partners with skilled professionals for project-based AI work serving leading technology companies. This freelance contract centers on evaluating and improving AI systems within engineering environments. The position is contract-only and does not transition to permanent employment. Role overview This freelance Material Scientist with Python expertise will design original materials that reflect real-world engineering processes and challenges. Assignments focus on engineering scenarios, research questions, and practical problem-solving using computational tools. What you will do Create problems that require Python programming for engineering calculations or simulations. Develop computationally intensive challenges using numerical methods or iterative solutions. Formulate tasks involving system design, optimization, and analysis. Ensure assignments are grounded in genuine research or practical engineering situations. Validate solutions using Python and standard engineering libraries. Write clear, precise problem statements and provide accurate, verified solutions. Requirements Background as a material scientist or engineer with strong Python skills. Degree in Material Science or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued. Minimum of 2 years of professional experience in industry, research, or teaching. Solid understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. How to join Apply Meet the qualifications Join a project Complete assigned tasks Receive compensation Project commitment During active project phases, expect to spend 10-20 hours per week on assigned tasks. Workload may vary and is not guaranteed outside of active project periods. Compensation Earn up to $35 per hour, depending on contribution and pace. Actual rates may differ by project, based on complexity, scope, and expertise required. Other projects on the platform may offer different compensation structures.

Please submit your CV in English and highlight your English proficiency. Mindrift connects specialists with project-based AI work for leading technology companies. Most assignments involve testing, evaluating, and improving AI systems. This is a freelance, project-based position rather than a permanent role. Role overview As an Optical Engineer with Python expertise, work on designing and validating advanced computational physics problems. These problems are used to simulate research workflows and assess AI performance in physics-related areas. What you will do Design computational physics problems that reflect real research scenarios. Create Python-based problems using libraries such as Numpy, SciPy, or Sympy. Develop problems that are computationally intensive and not solvable manually within days or weeks. Build scenarios requiring complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on actual research challenges or practical applications from the field. Validate solutions using Python and standard physics simulation libraries. Document problem statements clearly and provide accurate, verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is beneficial. At least 2 years of professional experience in applied research or teaching. Background in numerical simulation methods. Ability to design problems that reflect real-world research processes in physics. Creative problem-solving skills across several physics domains. Familiarity with physics modeling and approximation techniques. Strong written English skills at C1 level or higher. Project process Application Qualification assessment Project participation Task completion Compensation Time commitment Tasks usually require about 10–20 hours per week during active project phases. Workload may vary depending on project needs and is not guaranteed. Compensation Earn up to $45 per hour, depending on expertise and contribution. Compensation may differ by project based on scope and complexity. Location This freelance role is remote and open to candidates based in Queensland, Australia.

Please submit your CV in English and specify your English proficiency level. Toloka AI, working with Mindrift, seeks a freelance AI Trainer specializing in physics and Python. This contract role is remote and project-based, supporting the evaluation and development of AI systems for large technology partners. The position is not permanent and is based in Queensland, Australia (remote). What you will do Create original computational physics problems that reflect authentic research workflows. Design tasks requiring Python programming, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally demanding and not solvable manually in a short period. Develop challenges across mechanics, electromagnetism, thermodynamics, and quantum mechanics, focusing on advanced reasoning. Base tasks on real research questions or practical physics applications. Validate solutions using Python and standard simulation libraries. Document problem statements clearly and provide verified solutions. Requirements Degree in physics (theoretical, experimental, or computational) or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is a plus. At least two years in applied, research, or teaching roles. Background in numerical simulation methods. Ability to design problems that mirror real physics research workflows. Creative approach to formulating problems across physics domains. Familiarity with modeling and approximation techniques in physics. Strong written English skills (C1 level or above). Project structure The process includes application, qualification, project engagement, task completion, and then compensation. Time commitment During active project phases, expect to dedicate around 10–20 hours per week. Actual workload may vary depending on project needs and is not guaranteed. Compensation Contributors may earn up to $35 per hour, depending on contribution level and task completion speed. Rates can vary by project based on complexity and required expertise. Other projects on the platform may offer different compensation structures.

Please submit your CV in English and indicate your level of English proficiency. Mindrift offers project-based, remote roles for professionals skilled in chemistry and Python. These freelance positions focus on supporting AI development for leading technology companies. Participation is not permanent employment, and work is assigned on a project basis. What you will do Design computational chemistry problems that reflect real-world research workflows. Create Python-based challenges requiring programming solutions, often using numpy, scipy, and chemistry-specific libraries. Ensure problems are complex enough to require computational methods, not manual solutions. Develop tasks involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base assignments on authentic research scenarios or practical chemistry applications. Validate solutions using Python and established computational chemistry techniques. Document each problem clearly and provide verified answers. Requirements Degree in Chemistry or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or relevant chemistry libraries is also acceptable. At least 2 years of professional experience in applied research, teaching, or a related area. Background in numerical methods within chemistry. Knowledge of computational chemistry concepts and techniques. Strong written English skills (C1 level or higher). How projects work The process includes application, qualification, joining a project, completing assigned tasks, and receiving payment. During active project phases, tasks typically require 10–20 hours per week, though actual workload may vary. Compensation Contributors can earn up to $35 per hour, depending on expertise and pace. Compensation may differ by project based on scope, complexity, and required skills. Other projects may offer different pay structures.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals to project-based AI work with leading technology companies. Assignments focus on testing, evaluating, and improving AI systems. This is a contract role, not a permanent position. Role overview This freelance AI Trainer position is designed for research physicists with strong Python skills. Contributors create and validate advanced computational physics problems that help refine AI capabilities. All work is remote and project-based, with assignments varying by project. What you will do Design original computational physics problems that reflect real research workflows. Create challenges that require Python programming to solve, using libraries like Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and not solvable manually in a reasonable timeframe. Develop problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, or quantum mechanics. Base challenges on authentic research questions or practical applications in physics. Validate solutions using Python and standard physics simulation libraries. Document clear problem statements and provide verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar languages is a plus. At least 2 years of professional experience in applied physics, research, or teaching. Expertise in numerical simulation techniques. Ability to design problems that reflect real research workflows in physics. Creative problem-solving across multiple physics domains. Familiarity with physics modeling and approximation methods. Strong written English at C1 level or above. Application steps Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual hours may vary depending on project needs. There is no guaranteed minimum workload. Compensation Contributors can earn up to $35 per hour, depending on contribution level and speed. Rates may differ between projects based on scope, complexity, and required expertise. Other Mindrift projects may offer different compensation levels. Location: Remote , Queensland, Australia

Toloka AI seeks a Freelance Legal Consultant with strong expertise in U.S. law to contribute to the training of artificial intelligence systems. This contract position is open to candidates residing in Queensland, Australia, and offers the flexibility to work fully remotely. Key Responsibilities Use knowledge of U.S. legal principles to assist in developing and refining AI models. Review and analyze AI-generated legal content, offering detailed feedback to improve accuracy and relevance. Participate in collaborative projects aimed at enhancing the performance of AI within the legal field. Location This role is remote. Candidates may work from any location within Queensland, Australia.

This freelance contract role with toloka-ai focuses on supporting AI system development and evaluation for technology companies. The position is remote and open to candidates based in Queensland, Australia. The engagement is project-based, not permanent employment. Role overview The Freelance Supply Chain Consultant - AI Trainer draws on practical experience in procurement and supply chain management to create realistic disruption scenarios, define outcomes, and develop mitigation strategies. Responsibilities include reviewing AI-generated recommendations for accuracy and business fit, especially within manufacturing and procurement operations. What you will do Design supply chain disruption scenarios reflecting real-world challenges such as supplier delays, quantity changes, logistics issues, and quality concerns in manufacturing and procurement. Define expected outcomes and mitigation strategies for each scenario. Evaluate AI-generated responses to ensure alignment with business logic and operational requirements. Review outputs for accuracy, completeness, and relevance within ERP systems (including Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba/SAP). Create and validate structured data following provided guidelines and frameworks. Requirements Minimum 4 years of hands-on experience in procurement, supply chain management, or purchasing, ideally in a manufacturing setting. Strong understanding of procurement workflows: purchase orders, vendor management, inventory control, and production planning. Direct experience with ERP platforms such as SAP, Oracle, or Microsoft Dynamics 365. Ability to design and assess supply chain disruption scenarios and related mitigation strategies. Familiarity with disruption types including delays, shortages, quality problems, and logistics issues. Knowledge of Incoterms and logistics management principles. Understanding of Bill of Materials (BOM) structures and production planning. Experience tracking supplier performance metrics (such as OTIF, lead times, and quality scores). Analytical skills to evaluate AI outputs against business logic. Background in data validation and structured data entry or annotation. Excellent written English communication skills. Project commitment Workload typically ranges from 10 to 20 hours per week during active project periods. Actual hours may vary depending on project needs. Compensation Contributors may earn up to $60 per hour, depending on experience and contribution. How to apply Submit your application. If qualified, join a project. Complete assigned tasks. Receive payment. Note: This is a project-based contract role, not a permanent employment position.

Please submit your CV in English and indicate your English proficiency level. toloka-ai, together with Mindrift, offers project-based contract work for optical engineers who want to support AI training projects. This remote role is open to candidates based in Queensland, Australia. Engagements are tied to specific projects and do not constitute permanent employment. Role overview This freelance position centers on designing and documenting advanced optics problems for AI training. The work draws on authentic research scenarios and practical applications in physics. Assignments are project-specific and require both subject expertise and strong written communication. What you will do Develop original optics problems that reflect real-world physics research workflows Create problems that require computational approaches and cannot be solved manually in a short period Design challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on genuine research situations or practical optics applications Document each problem thoroughly and provide accurate, verified solutions Requirements Degree in physics (theoretical, experimental, or computational) or a closely related field Minimum of 2 years of professional experience, including applied, research, or teaching roles Experience with numerical simulation techniques Ability to design realistic, complex problems that mirror actual research workflows Creative problem-solving skills across multiple physics domains Familiarity with physics modeling and approximation methods Strong written English skills at C1 level or higher How the process works Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, expect to spend about 10–20 hours per week on assigned tasks. Workload may fluctuate depending on project needs and is not guaranteed outside of live project periods. Compensation Contributors may earn up to $35 per hour, depending on contribution level and pace. Actual rates will vary with project complexity, scope, and required expertise. Other projects on the platform may offer different compensation based on their specific needs.

Join our dynamic team as a Freelance AI Trainer specializing in Australian English! This role is perfect for language enthusiasts who possess a deep understanding of the Australian dialect and culture. You will contribute to developing AI language models, providing insights, and ensuring the accuracy and relevance of language processing systems. Your expertise will help shape the future of AI communication.

Are you passionate about the Japanese language and eager to influence the future of artificial intelligence? As large-scale language models transition from sophisticated chatbots to formidable tools for linguistic exploration, your expertise in Japanese can play a vital role. By providing high-quality training data, you will help democratize access to premier educational resources, keep up with cutting-edge research, and enhance communication for Japanese speakers worldwide. We are seeking dedicated Japanese language specialists who possess a deep understanding of Japanese grammar, syntax, morphology, kanji, hiragana, katakana, phonology, and pragmatics. You will engage with advanced language models on intricate topics such as verb conjugation, sentence structure, honorifics, formal/informal speech, regional dialects, kanji readings, and the subtleties of Japanese writing systems. Your task will also include documenting any failures to strengthen model reasoning. On a day-to-day basis, you will converse with the model in various language scenarios, verify factual accuracy and logical consistency, capture reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics. While a degree is not necessary for this position, practical experience is invaluable. Contributions such as peer-reviewed publications, teaching experience, or involvement in linguistic analysis projects will demonstrate your suitability. Clear and metacognitive communication—essentially “showing your work”—is crucial. Are you ready to transform your Japanese language proficiency into the foundational knowledge for tomorrow's AI? Apply now to start shaping the model that will educate the world. We offer a competitive pay range of $8 to $65 per hour, with your final rate determined based on your experience, expertise, and geographic location. Please note that as a contractor, you will need to provide a secure computer and high-speed internet; company-sponsored benefits such as health insurance and paid time off are not applicable.