Mechanical Engineer and Python Specialist - Freelance AI Trainer

Mindrift, part of toloka-ai, connects skilled specialists with project-based AI work for leading tech companies. The focus here is on evaluating, testing, and improving AI systems. This Mathematics & Python Specialist role is freelance and project-based, not a permanent position. Role overview This position centers on designing and verifying advanced computa…

We kindly request that you submit your CV in English, indicating your level of English proficiency.Mindrift is a dynamic platform connecting specialists to project-based AI opportunities with leading tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. Please note that participation is on a project basis and does not constitute permanent employment.Key ResponsibilitiesContributors may engage in diverse tasks unique to each project, including:Creating original computational statistics problems that emulate authentic mathematical research processes;Formulating problems necessitating Python programming for resolution (using libraries such as Numpy, SciPy, Sympy);Designing computationally intensive problems that cannot be manually resolved within practical time frames (days/weeks);Developing problems that require complex reasoning chains in domains like number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in real research questions or practical applications derived from mathematical practices;Validating solutions utilizing Python with standard mathematical libraries;Providing clear documentation for problem statements along with verified correct answers.Candidate ProfileThis position is ideal for statistics experts proficient in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching backgrounds;Advanced English proficiency (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active project phases, tasks are estimated to require approximately 10–20 hours per week, depending on specific project demands. Please note that this is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $11 per hour, contingent upon their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please be aware that other projects on the platform may offer different earning opportunities based on their respective requirements.

This freelance, project-based role connects chemistry professionals with Python skills to artificial intelligence projects for leading technology firms. Assignments focus on creating, evaluating, and testing computational chemistry problems that help train and improve AI systems. The position is remote and open to candidates based in Hyderabad, Telangana, India, or working remotely from elsewhere. What you will do Design computational chemistry challenges that mirror real research tasks. Develop problems requiring Python programming solutions using libraries such as numpy, scipy, and chemistry-specific packages. Ensure problems are complex enough that manual solutions would be impractical. Create tasks involving advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base problems on real-world research or practical chemistry scenarios. Validate all solutions in Python, applying established computational chemistry methods. Document problem statements and provide clearly written, verified solutions. Requirements Degree in Chemistry or a closely related field. Strong Python skills for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also acceptable). At least 2 years of professional experience in applied, research, or teaching roles. Experience with numerical methods in chemistry. Solid grasp of computational chemistry concepts and methods. Excellent written English (C1 level or higher). Project details This is a part-time, non-permanent opportunity. During active project phases, expect to spend around 10–20 hours per week, though actual workload may vary and is not guaranteed. Compensation Earn up to $10 per hour, depending on project scope, complexity, and contribution. Pay rates may differ for other projects on the platform. How to apply To start, submit your CV in English. The application process includes qualification steps, joining a project, completing assigned tasks, and receiving payment upon completion.

We encourage applicants to submit their CV in English, highlighting their level of English proficiency.Mindrift bridges skilled professionals with project-based AI opportunities from leading technology firms, dedicated to testing, evaluating, and enhancing AI systems. Please note, participation is project-based and does not constitute permanent employment.Overview of the RoleEach project presents distinct challenges, where contributors may: Devise original computational engineering problems that mimic real-world engineering workflows;Design problems that necessitate Python programming for engineering calculations and simulations;Ensure that the problems are computationally demanding, requiring numerical methods or iterative solutions;Create problems focused on system design, optimization, and analysis;Base problems on genuine research challenges or practical engineering applications;Confirm solutions through Python using established engineering libraries;Clearly document problem statements and provide verified accurate answers.Candidate ProfileWe seek engineers experienced in Python, who are open to part-time, non-permanent projects. Ideal candidates will possess: A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1 or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewApplication → Qualification Assessment → Project Engagement → Task Completion → PaymentProject Workload ExpectationsFor this role, the estimated workload during active phases is approximately 10-20 hours per week, depending on project demands. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $9 per hour, based on their expertise and contribution pace. Compensation may vary across different projects due to scope, complexity, and required expertise. Please note that other projects on the platform may offer varying compensation levels based on their specific requirements.

Toloka AI is looking for a Freelance AI Training Consultant with a strong background in biology and solid Python skills. This remote role is based in Hyderabad, Telangana, India. Role overview This position focuses on developing and improving AI training modules that combine biological concepts with Python programming. The work supports projects that connect advances in technology with the field of biology. What you will do Apply knowledge of biology to inform AI training content Use Python to develop, test, or refine training modules Collaborate remotely with Toloka AI's team on projects at the intersection of biology and technology Requirements Proficiency in Python programming Strong understanding of biology Comfort working independently in a remote setting

We kindly request that you submit your CV in English along with your English proficiency level.At Mindrift, we bridge the gap between skilled professionals and project-based AI opportunities with top technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based opportunity rather than permanent employment.What You Will DoWhile each project presents distinct challenges, contributors may be tasked with:Crafting original computational physics problems that emulate authentic physics research workflows.Formulating problems necessitating Python programming for solutions, utilizing libraries such as Numpy, SciPy, and Sympy.Ensuring that problems require substantial computational effort, making manual solutions impractical within reasonable timeframes.Developing problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics.Grounding problems in real research challenges or practical applications from the field of physics.Validating solutions through Python using standard physics simulation libraries.Documenting problem statements with clarity and providing verified correct answers.Who We Are Looking ForThis role is ideal for physicists experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines.Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language will also be considered.At least 2 years of professional experience, including applicable applied, research, or teaching experience.Experience with numerical simulation techniques.The ability to design problems reflecting real physics research workflows.Creative problem design skills across various physics domains.Familiarity with physics modeling and approximation methods.Strong written English skills (C1+ level).How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time ExpectationsTasks for this project are estimated to require approximately 10–20 hours per week during active phases, based on specific project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $10 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise, and may differ from other projects on the platform.

Toloka AI seeks a Civil Engineer with strong Python experience to join as a Freelance AI Trainer. This contract position centers on developing and delivering training modules for AI projects that combine civil engineering principles with Python programming. Role overview This role involves designing educational content that bridges civil engineering and Python. You will create and present training materials to support AI initiatives, ensuring technical concepts are clearly explained and relevant to project needs. Location This is a remote position based in Hyderabad, Telangana, India.

Please submit your CV in English and include your English proficiency level. Toloka AI, through Mindrift, connects material scientists and engineers with project-based AI work for leading technology companies. These freelance roles focus on evaluating and improving AI systems. Positions are not permanent and assignments vary by project. Role overview Freelance AI Trainers with material science backgrounds and Python expertise contribute to a range of project-specific tasks. Typical responsibilities include: Designing original material engineering problems that reflect real-world workflows Creating challenges that require Python programming for calculations and simulations Ensuring problems involve computationally intensive tasks, such as numerical methods or iterative solutions Developing tasks related to system design, optimization, and analysis Formulating problems based on research challenges or practical engineering applications Verifying solutions in Python using standard engineering libraries Documenting problem statements clearly and providing accurate, verified answers Preferred qualifications Degree in Material Science or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar libraries is valued At least 2 years of experience in applied research or teaching Strong understanding of practical engineering constraints and approximations Excellent written English (C1+ level) How to join a project Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Project time commitment During active project phases, tasks typically require 10–20 hours per week. Workload may vary depending on project requirements. Compensation Contributors can earn up to $10 per hour, depending on expertise and task completion rate. Actual compensation may differ by project, based on complexity and required skills. Location: Remote , Hyderabad, Telangana, India

We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we specialize in connecting talented professionals with innovative project-based AI opportunities for top-tier tech companies, with a focus on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.What This Opportunity EntailsEach project comprises distinct tasks, where contributors may:Formulate original material engineering challenges that mirror authentic engineering processes;Craft problems that necessitate Python programming for engineering calculations and simulations;Ensure computational intensity and the use of numerical methods or iterative solutions;Develop challenges related to system design, optimization, and analysis;Base tasks on real-world research issues or practical engineering applications;Verify solutions using Python alongside standard engineering libraries;Clearly document problem statements and provide verified solutions.What We SeekThis role is ideal for material scientists and engineers with Python expertise who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Material Science or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages will be considered equivalent;A minimum of 2 years of relevant professional experience, which can include applied work, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 level or higher).How the Process WorksApply → Meet qualifications → Join a project → Complete tasks → Receive paymentProject Time CommitmentFor this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent upon project needs. This is an estimate and does not guarantee a specific workload.CompensationContributors can earn up to $10 per hour, based on their expertise and the speed of their contributions. Compensation varies by project depending on the scope, complexity, and required expertise. Note that other projects may offer different compensation rates based on their specifications.

We invite you to submit your CV in English, including your proficiency level in the language.At Mindrift, we specialize in connecting talented individuals with project-based AI opportunities at leading technology firms. Our focus is on testing, evaluating, and enhancing AI systems. Please note that these opportunities are project-based and do not lead to permanent employment.Overview of the RoleEach project encompasses distinct tasks, and contributors may be responsible for:Creating innovative computational engineering problems that reflect real-world engineering workflows;Developing problems that necessitate Python programming for engineering calculations and simulations;Ensuring that the problems are computationally demanding and utilize numerical methods or iterative solutions;Formulating problems related to system design, optimization, and analysis;Using real research challenges or practical applications from engineering practice as a basis for problems;Validating solutions through Python using established engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent project work. Candidates should ideally possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and other domain-specific libraries is also acceptable;A minimum of 2 years of relevant professional experience, which can include applied, research, or teaching experience;A solid understanding of practical engineering constraints and approximations;Fluency in written English (C1 level or above);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be considered advantageous.How To Get StartedApplication Process: Apply → Complete qualifications → Join a project → Complete tasks → Receive compensation.Project Time CommitmentFor this role, project tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This estimate is not a guaranteed workload and applies only when the project is active.Compensation DetailsContributors can earn up to $9 per hour, depending on their experience and contribution pace. Compensation may vary across different projects based on their scope, complexity, and required expertise. Note that other projects on the platform may offer varying earning levels based on specific requirements.

We kindly ask that you submit your CV in English and specify your English proficiency level.Mindrift is a pioneering platform that connects highly skilled specialists with project-based opportunities in artificial intelligence, collaborating with leading tech companies to test, evaluate, and enhance AI systems. Please note that participation is based on individual projects and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be involved in tasks such as:Designing innovative computational physics problems that reflect genuine research workflows;Creating complex problems requiring Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring problems are computationally demanding, not solvable manually within reasonable timeframes;Developing intricate problems involving reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in authentic research challenges or practical applications from physics;Validating solutions using Python and established physics simulation libraries;Documenting problem statements concisely and providing verified solutions.Ideal Candidate AttributesThis role is particularly suited for quantum researchers with Python expertise who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable;A minimum of 2 years of relevant professional experience, including applied research or teaching;Experience with numerical simulation techniques;The capability to craft problems that parallel real-world physics research workflows;Creative thinking in problem design across various physics domains;Familiarity with physics modeling and approximation methodologies;Strong written English skills (C1 or above).Process OverviewApplication → Qualification Assessment → Project Engagement → Task Completion → PaymentProject Time CommitmentFor this project, contributors can expect to dedicate approximately 10–20 hours per week during active project phases, based on specific project needs. This is an estimate and not a guaranteed workload.CompensationContributors on this project can earn up to $10 per hour, depending on their contribution level and pace. Compensation may vary across projects based on scope, complexity, and expertise required. Please be aware that different projects may offer varied earning levels based on their unique requirements.

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we bridge the gap between talented specialists and innovative AI projects for top tech companies. Our focus is on evaluating, testing, and enhancing AI systems. Note that participation is project-based and does not lead to permanent employment.About the Role:As an Optical Engineer, you will engage in diverse project-based tasks, including:Crafting original computational physics problems that replicate authentic physics research workflows;Designing problems that necessitate Python programming for solutions, utilizing libraries such as Numpy, SciPy, and Sympy;Ensuring the problems are computationally intensive and cannot be manually solved within practical timeframes;Developing challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Creating problems based on real-world research challenges or practical physics applications;Validating solutions using Python and standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.

We invite you to submit your CV in English, detailing your proficiency in the language.Mindrift connects specialized professionals with project-based opportunities in AI for top-tier technology firms, concentrating on the evaluation and enhancement of AI systems. This role is project-based and does not constitute permanent employment.Key ResponsibilitiesWhile individual projects may vary in scope, contributors will typically be tasked with:Creating original computational physics problems that reflect authentic research workflows;Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that problems are computationally demanding, requiring extensive timeframes for manual resolution;Formulating problems that involve complex reasoning in areas including mechanics, electromagnetism, thermodynamics, and quantum mechanics;Drawing upon real research dilemmas or practical applications from the field of physics;Validating solutions through Python, using established physics simulation libraries;Clearly documenting problem statements along with accurate, verified solutions.QualificationsThis opportunity is ideal for physicists with Python experience seeking part-time, non-permanent projects. The preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and other domain-specific libraries being advantageous;At least 2 years of professional experience, whether in applied work, research, or teaching;Experience in numerical simulation methodologies;A knack for designing problems that emulate real-world physics research workflows;Innovative problem design skills across various physics domains;Knowledge of physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessTo apply, please submit your application, complete necessary qualifications, join a project, and fulfill assigned tasks to receive payment.Project CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project demands. This estimate is not a guaranteed workload and applies only while the project is ongoing.CompensationContributors can earn up to $10 per hour, based on their experience level and contribution pace. Compensation rates may vary across projects, reflecting differences in scope, complexity, and expertise required. Note that other projects on the platform may offer different earning potentials based on their specific criteria.

Toloka AI seeks a Freelance English Writer and AI Trainer to contribute to the development of advanced AI models. This contract role is remote, with a focus on candidates based in Hyderabad, Telangana, India. Key responsibilities Produce clear and accurate written material that supports AI training efforts Capture the nuances, details, and subtleties of the English language in your work Collaborate with teams working on new AI technologies Ideal profile This position fits writers who are curious about technology and interested in influencing how AI systems interpret and use English.

Please submit your CV in English and specify your proficiency level. Toloka AI, in partnership with Mindrift, offers project-based contract work for specialists interested in advancing and evaluating AI systems for major technology companies. This freelance role is not a permanent staff position and is based remotely, with a focus on candidates in Hyderabad, Telangana, India. Role overview This position centers on developing challenging physics problems to support the training and evaluation of AI models. Tasks involve crafting original optics problems that reflect real research practices, as well as designing computationally demanding scenarios that require advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics. Problems should be grounded in authentic research challenges or practical applications within optics and physics. Clear documentation and verified solutions are essential for each problem set. Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Minimum of 2 years’ experience in applied research, teaching, or a similar area Proficiency with numerical simulation techniques Ability to design problems that mirror real research workflows Creative approach to problem-solving across various physics domains Familiarity with modeling and approximation methods in physics Strong written English skills at C1 level or above How projects work Applicants complete qualification steps before joining a project. Once accepted, work is assigned on a task basis, and payment is provided for completed assignments. Time commitment Active project phases generally require between 10 and 20 hours per week. Actual hours may vary depending on project needs, and there is no guaranteed minimum. Compensation Earnings can reach up to $10 per hour, depending on skill, speed, and the complexity of assigned tasks. Actual rates may differ by project.

This freelance, project-based role with toloka-ai focuses on improving AI systems for supply chain and procurement scenarios. The position is remote, with project work based in Hyderabad, Telangana, India. Participation is not considered permanent employment. Role overview Work with Mindrift and leading tech companies to test, evaluate, and refine AI recommendations in supply chain management. The role relies on practical experience in procurement and manufacturing to create realistic disruption scenarios, define expected outcomes, and assess the accuracy and relevance of AI-generated solutions. What you will do Develop supply chain disruption scenarios, such as supplier delays, quantity changes, logistics challenges, and quality concerns, based on real-world manufacturing and procurement processes. Outline expected results and possible mitigation strategies for each scenario. Assess AI-generated recommendations for alignment with practical business logic. Review outputs for accuracy, completeness, and business relevance, especially for ERP systems like Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Support the creation and validation of structured data according to project standards. Requirements Minimum 4 years of hands-on experience in procurement, supply chain management, or purchasing, preferably within a manufacturing setting. Strong understanding of procurement processes, including purchase orders, vendor management, inventory control, and production planning. Direct experience with ERP platforms such as SAP, Oracle, or Microsoft Dynamics 365. Demonstrated ability to design and analyze supply chain disruption scenarios and mitigation plans. Knowledge of various disruption types: delays, shortages, quality issues, and logistics problems. Familiarity with Incoterms and logistics/transport management. Experience with Bill of Materials (BOM) and production planning. Understanding of supplier performance metrics, such as OTIF, lead times, and quality scores. Strong analytical skills for evaluating AI outputs against real business logic. Background in data validation, structured data entry, or annotation tasks. Excellent written English communication skills. How the process works Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment During active project phases, tasks typically require 10-20 hours per week. Actual workload may vary depending on project needs. Compensation Contributors may earn up to $50 per hour, depending on project requirements.

Role overview This freelance contract centers on data annotation for AI development. The main responsibility is to prepare accurately labeled datasets that support the training and improvement of machine learning models. Careful attention to detail and consistent, high-quality annotation are essential to ensure the reliability of AI applications. Location and work style This position is remote and based in Hyderabad, Telangana, India. The role offers flexibility, allowing work from any location and the ability to set your own hours.

Mindrift connects talented specialists with project-based AI opportunities from leading technology companies, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.About the RoleAs a Procurement and Supply Chain Consultant for this project, your expertise will be crucial in designing realistic disruption scenarios derived from practical experiences. You will articulate expected outcomes and mitigation strategies while assessing AI-generated recommendations for their accuracy, completeness, and relevance to the business.What This Opportunity EntailsWhile tasks may vary by project, contributors may engage in:Crafting realistic supply chain disruption scenarios (e.g., supplier delays, quantity fluctuations, logistics challenges, quality failures) rooted in real-world manufacturing and procurement contexts.Defining anticipated outcomes and suitable mitigation strategies for each scenario.Evaluating AI-generated outputs and recommendations against established business logic.Assessing outputs for accuracy, completeness, and relevance within ERP systems (notably Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP)).Participating in structured data creation and validation tasks following specific guidelines and frameworks.Qualifications We SeekA minimum of 4 years of hands-on experience in procurement, supply chain, or purchasing, preferably within a manufacturing environment.A strong understanding of procurement workflows, including purchase orders, vendor management, inventory, and production planning.Practical experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.A proven ability to design and analyze supply chain disruption scenarios and mitigation strategies.A solid grasp of disruption types, including delays, shortages, quality issues, and logistics challenges.Knowledge of Incoterms and logistics/transportation management.Familiarity with Bill of Materials (BOM) structures and production planning processes.Experience in measuring supplier performance metrics (On-Time In-Full, lead times, quality scores).An analytical mindset capable of evaluating AI outputs against practical business logic.Experience with data validation, structured data entry, or annotation tasks.Excellent written communication skills in English.How the Process WorksApply → Qualify → Join a project → Complete tasks → Get compensated.Project Time ExpectationsFor this project, tasks are estimated to require approximately 10-20 hours per week during active phases, depending on project needs. This is an estimate and does not guarantee a specific workload during the project's active duration.CompensationParticipants can earn up to $50 per hour, contingent on experience and project demands.

Please submit your CV in English and indicate your English proficiency level. Mindrift offers contract-based, remote opportunities for legal professionals to support the evaluation and improvement of AI systems. This freelance role connects US bar-admitted legal advisors with project-based work for technology clients. The work is not a permanent staff position. Role overview As a Freelance Legal Advisor (US Bar Admitted) - AI Trainer, each project brings a different set of legal-focused tasks. Typical assignments include: Designing prompts to assess AI performance in legal contexts Reviewing AI-generated outputs for accuracy, logical structure, and alignment with legal standards Refining AI reasoning to ensure it follows core legal principles Evaluating multi-step legal problem-solving using structured criteria Requirements Law degree (Bachelor, J.D., LLM, or FLLM) from a US institution Minimum 2 years of legal practice in the US Strong written English skills at C1 or C2 level Reliable internet connection Who will thrive in this role This contract suits legal consultants or attorneys with US law experience seeking flexible, project-based work. The structure allows for remote participation from Hyderabad, Telangana, India or elsewhere, as long as requirements are met. How to get started Apply Complete qualification steps Join a project Carry out assigned tasks Receive payment Time commitment Active projects typically require about 10 to 20 hours per week. Actual hours depend on project needs and may vary; no minimum is guaranteed. Compensation Earn up to $15 per hour, based on expertise and task completion rate. Pay may vary by project, depending on complexity and required skills. Other projects on the platform may offer different rates according to their specific requirements.

Join our dynamic team at Toloka AI as a Freelance Data Scraping Engineer specializing in Python. In this role, you will leverage your programming skills to extract and analyze data from various sources, ensuring data quality and integrity. Your expertise will help us develop robust data scraping solutions that contribute to our innovative AI projects.