Freelance Mechanical Engineer & Python Specialist - AI Training

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

Please submit your CV in English, clearly indicating your English proficiency level.Mindrift serves as a bridge connecting specialists with project-oriented opportunities in AI for renowned technology companies, with a focus on the evaluation, testing, and enhancement of AI systems. This role is project-based and does not guarantee permanent employment.Role OverviewEach project presents distinct challenges, where contributors may be tasked with:Formulating original computational statistics problems that mimic authentic mathematical research processes;Crafting Python-based problems that necessitate programming solutions (utilizing libraries like Numpy, SciPy, Sympy);Ensuring that problems are computationally demanding, requiring extensive timeframes for resolution (days/weeks);Creating problems that necessitate complex reasoning across fields such as number theory, combinatorics, graph theory, and numerical analysis;Grounding problem statements in real-world research challenges or practical applications in mathematics;Validating solutions through Python using standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis opportunity is well-suited for statistics experts with Python experience who are interested in flexible, non-permanent projects. Qualified candidates should possess:A degree in Statistics or a related discipline;Proficiency in Python for numerical validation; experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable;A minimum of 2 years of relevant professional experience in applied, research, or educational settings;Strong written English skills (C1 or higher);Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.WorkflowApplication → Qualification Assessment → Project Onboarding → Task Completion → CompensationProject Commitment ExpectationsFor this role, it is estimated that active project phases will demand approximately 10 to 20 hours of work weekly, subject to project specifications. This is an estimation and not a guaranteed workload during project activity.CompensationContributors can earn up to $17 per hour, contingent on their experience and contribution pace. Compensation may differ across projects based on scope, complexity, and required expertise, with potential for varying earning levels across different projects on the platform.

Toloka AI is looking for a freelance specialist with a strong background in both biology and Python programming. This remote contract is open to candidates based in Uruguay. Role overview This position centers on training and guiding AI systems for biological applications. The work involves applying subject matter knowledge in biology alongside Python skills to help develop and improve AI models. What you will do Use expertise in biology and programming to support the development of AI models Train and guide AI systems to enhance their performance in tasks related to biological data or problems Requirements Strong knowledge of biology Proficiency in Python Ability to work independently in a freelance, remote setting Based 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.

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.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift is a dynamic platform that connects skilled professionals with project-based AI opportunities from top technology firms. Our focus is on enhancing, testing, and evaluating AI systems through specialized tasks. Note that this role is project-based rather than a permanent position.What You Will Be Doing:Crafting original computational physics problems that replicate authentic physics research workflows;Developing challenges that necessitate Python programming for solutions (using libraries such as Numpy, SciPy, Sympy);Creating computationally intensive problems that require extensive timeframes for resolution (days to weeks);Formulating problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical physics applications;Validating solutions using Python with standard physics simulation libraries;Providing clear documentation for problem statements along with verified correct answers.What We Are Looking For:This role is ideal for physics graduates with Python experience who are open to part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with alternative proficiency in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages being acceptable;At least 2 years of professional experience, encompassing applied, research, or teaching roles;Familiarity with numerical simulation methods;The ability to design problems that closely reflect real physics research processes;Innovative problem design skills across various physics disciplines;A strong command of written English (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get paidProject Commitment:During active phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project needs. This is an approximation and not a guaranteed workload.Compensation:Contributors can earn up to $17 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Please note that different projects on our platform may offer varying compensation levels based on their specific requirements.

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

We invite you to submit your CV in English, highlighting your level of English proficiency.Mindrift specializes in connecting skilled professionals with project-based AI opportunities for prominent technology companies, with a focus on testing, evaluating, and enhancing AI systems. This is a project-based role rather than permanent employment.What You Will Be Doing:While each project involves distinct tasks, contributors may be expected to:Design original computational physics problems that reflect authentic physics research workflows;Develop problems that necessitate Python programming for resolution (using libraries such as Numpy, SciPy, and Sympy);Ensure problems are computationally intensive and cannot be manually solved within a reasonable timeframe (days/weeks);Create problems that involve complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on actual research challenges or practical applications from the field of physics;Validate solutions utilizing Python with standard physics simulation libraries;Clearly document problem statements and provide verified correct solutions.What We Are Looking For:This position is ideal for physicists with Python experience who are open to part-time, project-based work. Candidates should possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language can be considered equivalent;At least 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation methods;The ability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across diverse areas of physics;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Time Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active periods, depending on project needs. This is an estimation and does not guarantee a fixed workload during the project's active phase.Compensation:Contributors can earn up to $17 per hour, depending on their skill level and contribution pace. Compensation may vary across projects based on their complexity, scope, and required expertise. Other projects on our platform may offer different earning potential based on their specific requirements.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift is a dynamic platform that connects specialists with exciting project-based AI opportunities from top technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based rather than permanent employment.Opportunity Overview:While each project presents unique challenges, contributors will typically be tasked with:Designing innovative computational physics problems that emulate authentic research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring tasks are computationally demanding, requiring extended timeframes (days/weeks) for resolution;Creating problems that involve complex reasoning chains in areas including mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical applications from the field of physics;Validating solutions through Python with standard physics simulation libraries;Documenting problem statements comprehensively and providing confirmed correct answers.Ideal Candidate Profile:This role is well-suited for optical engineers experienced in Python, looking for part-time, non-permanent projects. The ideal contributors will possess:A 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 any domain-specific programming language is acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;The capability to design problems that reflect actual physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation methodologies;Strong written English skills (C1+ level).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time Commitment:During active phases of the project, tasks are estimated to require approximately 10–20 hours per week, based on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $17 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills.

Please 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.

Mindrift, in partnership with toloka-ai, offers project-based freelance roles for mathematics and Python specialists interested in supporting AI development for leading technology firms. This contract position is fully remote and based in Uruguay. All applicants should submit their CV in English and specify their English proficiency level. Role overview This freelance role centers on creating and validating advanced computational mathematics problems for AI system evaluation. Each project brings unique challenges, requiring contributors to: Develop original mathematics problems that mirror real research workflows Design problems requiring Python programming to solve, often using libraries like Numpy, SciPy, or Sympy Ensure problems are computationally intensive, not solvable by hand in a reasonable time Incorporate complex reasoning across fields such as number theory, combinatorics, graph theory, and numerical analysis Draw from real-world research or practical applications in mathematics Verify solutions using Python and standard mathematical libraries Document problem statements clearly and provide accurate, verified answers Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research Understanding of computational complexity theory Strong written English skills at C1 level or higher How projects work The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment. Time commitment During active project phases, tasks generally require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside active periods. Compensation Contributors may earn up to $17 per hour, depending on expertise and pace. Actual rates vary by project scope and complexity. Other projects on the platform may offer different earning potential.

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

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

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.

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

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

Please submit your CV in English and indicate your level of English proficiency.Mindrift is a dynamic platform that pairs specialists with project-based AI opportunities for top-tier tech firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Overview of the RoleWhile each project comes with distinct tasks, contributors may be required to:Develop prompts that challenge AI capabilities;Evaluate AI-generated outputs for accuracy, underlying assumptions, and logical consistency;Enhance AI reasoning to conform to foundational principles and widely accepted standards;Utilize structured scoring criteria to evaluate multi-step problem-solving.Desired QualificationsThis position is ideal for legal consultants or attorneys with a background in US law who are open to part-time, non-permanent projects. Candidates should ideally possess:A degree in law (Bachelor, J.D., LLM, FLLM) relevant to the US context;A minimum of 2 years of legal practice experience within US jurisdiction;Proficient written English skills (C1/C2 level);A reliable internet connection.ProcessApplication → Qualification assessments → Project assignment → Task completion → Compensation.Project Time CommitmentFor this project, it is estimated that tasks will require approximately 10–20 hours per week during active phases, subject to project demands. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $21 per hour, dependent on their experience level and contribution pace. Compensation may vary across projects based on their scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning potentials based on their specifications.

Anyone AI is in search of talented Full-Stack Developers proficient in Python and JavaScript/TypeScript to collaborate on innovative projects with a prestigious AI laboratory.Qualifications:Fluent in English with exceptional written communication skills.3–7 years of hands-on experience in software engineering.Expertise in Python and JavaScript/TypeScript; familiarity with Java, C#, or Go is a plus.Experience in backend or full-stack development within production environments.Knowledge of testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing.Demonstrated ability to debug and work with extensive multi-file codebases.Experience with code reviews, refactoring, and production migrations.Engagement Type: Part-time, project-based expert evaluation work.Work Type: Remote.As a contributor, you will design and evaluate realistic software engineering tasks, which include bug resolution, feature implementation, refactoring/migration, and test generation. Responsibilities involve creating complex coding scenarios and reviewing peer submissions for quality and accuracy.This role is project-based and consultants are compensated per project; hourly rates are estimates based on anticipated completion time. Consultants have the flexibility to manage their own schedules, utilize their own tools, and may work with other vendors or employers concurrently (depending on their policies).Responsibilities:Contributors will:Design and implement multi-file coding tasks, covering bug fixes, feature development, refactoring, and testing.Craft clear natural-language specifications and reference implementations.Develop and expand unit and integration test suites.Review peer-generated tasks for accuracy, clarity, and realism.Identify edge cases, ambiguities, and potential failure modes.Ensure alignment between specifications, code, and expected outputs.

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.