Civil Engineer & Python Specialist - Freelance AI Trainer

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with dynamic, project-based AI opportunities for top tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based and not a permanent employment posit…

Mindrift connects chemistry specialists with project-based freelance opportunities focused on AI system development for leading technology companies. These roles involve short-term projects and do not represent permanent employment. Role overview This freelance position centers on creating and validating computational chemistry challenges for AI training. Tasks vary by project and may include: Designing original computational chemistry problems that reflect real-world research workflows Developing challenges that require Python programming, using libraries such as numpy, scipy, or chemistry-specific tools Ensuring problems are computationally intensive and cannot be solved manually within a reasonable timeframe Incorporating advanced reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Basing problems on authentic research questions or practical chemistry applications Validating solutions in Python using established computational chemistry methods Clearly documenting problem statements and providing accurate, verified solutions 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 domain-specific libraries is also valued At least 2 years of relevant professional experience (applied, research, or teaching) Expertise in numerical methods as applied to chemistry Strong understanding of computational chemistry concepts and techniques Excellent written English skills (C1 level or higher) Project structure The process includes submitting an application, passing qualification steps, participating in a project, completing assigned tasks, and receiving payment. Tasks typically require 10–20 hours per week during active phases, though actual workload may vary by project. Compensation Contributors can earn up to $14 per hour, depending on expertise and pace. Actual rates may vary based on project scope, complexity, and required skills. Other projects on the platform may offer different compensation levels. Please submit your CV in English and indicate your English proficiency level.

We invite you to submit your CV in English, including your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the OpportunityEach project will have distinct tasks, and contributors may be required to:Design innovative engineering problems that accurately represent real engineering processes;Develop Python-based solutions for engineering calculations and simulations;Create computationally intensive problems that necessitate numerical methods or iterative problem-solving;Work on system design, optimization, and analysis challenges;Base problems on actual research issues or real-world engineering applications;Utilize Python with standard engineering libraries to verify solutions;Clearly document problem statements and provide verified correct answers.Qualifications We SeekThis role is ideal for engineers with Python expertise who are interested in part-time, project-based work. The most qualified candidates will possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries being advantageous;A minimum of 2 years of professional experience, which can include applied work, research, or teaching;A solid understanding of practical engineering constraints and methodologies;Strong written English communication skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are highly valued.How the Process Works1. Apply → 2. Pass qualification(s) → 3. Join a project → 4. Complete tasks → 5. Get compensatedProject Time ExpectationsFor this opportunity, tasks are estimated to require approximately 10–20 hours per week during active project phases, based on specific project needs. Please note that this is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $14 per hour, depending on their expertise and contribution level. Compensation may vary across projects based on scope, complexity, and required skills. Please note that different projects on the platform may offer varying compensation levels.

Please submit your CV in English, including your proficiency level.Mindrift connects talented specialists to project-based AI opportunities with leading technology firms, focusing on the critical tasks of testing, evaluating, and enhancing AI systems. Note that participation is project-based and does not constitute permanent employment.Key Responsibilities:Each project presents distinct tasks, where contributors may be required to:Create original computational statistics challenges that emulate actual mathematical research workflows.Develop problems that necessitate Python programming solutions (utilizing Numpy, SciPy, Sympy).Ensure problems are computationally demanding, making manual solutions impractical within reasonable timelines (days/weeks).Formulate problems that involve complex reasoning chains in fields such as number theory, combinatorics, graph theory, and numerical analysis.Ground problems in real research scenarios or practical applications drawn from mathematical practice.Validate solutions using Python with standard mathematical libraries.Clearly document problem statements and provide verified correct answers.Qualifications:This opportunity suits statistics experts with Python experience who are open to part-time, temporary projects. Ideal candidates will possess:A degree in Statistics or related disciplines.Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages may be considered equivalent.At least 2 years of relevant professional experience, which can include applied, research, or teaching roles.Strong written English skills (C1+).Professional certifications (e.g., CMME, SAS Certifications, CAP) and involvement in international or applied projects are advantageous.How It Works:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time Expectations:During active phases, tasks are expected to require approximately 10–20 hours per week, based on project needs. This is a guideline and not a guaranteed workload.Compensation:Contributors can earn up to $16 per hour, depending on experience and contribution pace. Compensation may vary across different projects based on their scope, complexity, and required expertise.

We invite you to submit your CV in English, detailing your proficiency in the language.Mindrift serves as a vital link between specialists and project-oriented AI opportunities with top-tier technology firms, concentrating on the evaluation, testing, and enhancement of AI systems. Note: Participation is project-based and does not lead to permanent employment.Opportunity Overview:Each project presents distinct challenges, and contributors may be tasked with:Crafting original computational physics problems that authentically replicate real-world physics research workflows;Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that the problems are computationally demanding, making manual solutions impractical within reasonable timeframes (days or weeks);Creating problems that require complex reasoning chains across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on actual research challenges or applicable scenarios in physics;Validating solutions using Python and standard physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Desired Qualifications:This role is an excellent match for optical engineers proficient in Python who are open to part-time, non-permanent engagements. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language is acceptable;A minimum of 2 years of professional experience, whether in applied, research, or teaching capacities;Experience with numerical simulation methodologies;Capability to design problems reflective of genuine physics research workflows;Inventive problem-solving skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1 level or higher).Application Process:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Commitment:During active phases, tasks are anticipated to require approximately 10–20 hours weekly, depending on project specifications. This is an estimate and not a guaranteed workload.Compensation:Contributors may earn up to $14 per hour based on their expertise and contribution level. Compensation varies by project according to scope, complexity, and required expertise. Other projects may offer different earning potential based on their demands.

Mindrift connects subject matter experts with AI projects for leading technology companies, focusing on testing, evaluation, and improvement of AI systems. This is a project-based freelance role, not a permanent position. Role overview As a Mathematics & Python Specialist, freelance AI trainers work on a range of challenging projects. Tasks may include: Creating original computational mathematics problems that mirror real mathematical research workflows Designing problems that require Python programming to solve, often using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive and cannot be solved manually in a reasonable timeframe Developing problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real-world research challenges or practical mathematical applications Validating solutions in Python with established mathematical libraries Clearly documenting problem statements and providing verified solutions 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 accepted At least 2 years of professional experience, which may include applied, research, or teaching roles Experience with numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research workflows Understanding of computational complexity theory Strong written English skills (C1 level or higher) Process The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment. Project commitment Tasks for this project are estimated at 10–20 hours per week during active phases. This is an estimate, not a guaranteed workload. Compensation Contributors may earn up to $14 per hour, depending on contribution level and pace. Actual rates may vary by project based on scope, complexity, and required expertise. Other projects on the platform may offer different earning opportunities. Please submit your CV in English and include your English proficiency level.

Toloka AI seeks a Freelance AI Trainer with expertise in both biology and Python. This remote role focuses on designing and delivering training sessions that help learners apply artificial intelligence to biological research and related applications. Role overview The Biology and Python Specialist will create educational content and lead sessions for a range of participants. The goal is to make complex AI concepts accessible and relevant within the context of biology. What you will do Develop and present training materials that connect AI techniques with real-world biological problems Engage learners through clear explanations and practical examples using Python Adapt content to suit different backgrounds and experience levels Requirements Strong background in biology Proficiency in Python programming Interest in education and technology This freelance position is open to candidates based in Belo Horizonte, State of Minas Gerais, Brazil, and offers full remote flexibility.

Are you a skilled Data Scraping Engineer with a passion for Python? Join our dynamic team at Toloka AI, where you will play a crucial role in extracting and processing data from various online sources. This freelance position offers the flexibility of remote work while allowing you to contribute to innovative projects.

Please submit your CV in English and specify your English proficiency level. This freelance contract with Toloka AI (via Mindrift) is open to material scientists with strong Python skills. The focus is on supporting AI development for technology companies. The role is remote and based in Belo Horizonte, State of Minas Gerais, Brazil. This is not a permanent position, but a flexible, project-based opportunity. Key responsibilities Develop original material engineering problems that mirror real engineering workflows Design challenges involving Python programming for calculations and simulations Ensure problems require computational effort, using numerical methods or iterative techniques Create scenarios focused on system design, optimization, and analysis Draw from real-world research or practical engineering applications Validate solutions using Python and standard engineering libraries Write clear problem statements and provide accurate, verified solutions Requirements 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 tools is also acceptable At least 2 years of experience in applied work, research, or teaching Understanding of practical engineering constraints and approximations Excellent written English skills at C1 level or higher Project details Estimated workload is 10–20 hours per week during active project phases. Actual hours may change based on project needs and are not guaranteed. Compensation Earnings can reach up to $14 per hour. Pay depends on contribution, pace, and project requirements. Compensation may vary with project complexity and scope. Application process Apply in English, including your CV and English proficiency level Complete required qualifications Join a project when invited Finish assigned tasks Receive compensation for completed work This is a freelance, project-based position. Permanent employment is not available.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.Mindrift specializes in connecting talented professionals with project-based AI opportunities for top technology companies, focusing on the testing, evaluation, and enhancement of AI systems. This position is project-based and not a permanent role.Key ResponsibilitiesAs a contributor, your tasks may include:Designing innovative computational physics problems that replicate authentic physics research workflows;Creating Python-based problems to solve using libraries such as Numpy, SciPy, and Sympy;Ensuring that problems are computationally intensive, requiring significant time to solve (days/weeks) rather than manual solutions;Developing scenarios that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Using real research challenges or practical applications from the field of physics as a basis for problems;Validating solutions through Python with standard physics simulation libraries;Documenting problem statements clearly and providing verified correct answers.QualificationsThis role is ideal for physicists with Python experience who are looking for part-time, non-permanent project work. The ideal candidate will 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, and Stata is also acceptable;A minimum of 2 years of professional experience, which may include applied, research, or teaching experience;Experience in numerical simulation methods;The ability to create problems that reflect real physics research workflows;Creative problem-solving skills across various areas of physics;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+ level).How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject Time ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week based on project demands. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $14 per hour, depending on their level of expertise and contribution pace. Please note that compensation can vary by project based on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels based on their specific requirements.

We invite you to submit your CV in English, specifying your level of English proficiency.Mindrift bridges the gap between specialists and exciting project-based AI roles with leading tech companies, dedicated to the testing, evaluation, and enhancement of AI systems. Please note that involvement is project-specific and does not lead to permanent employment.Your role will encompass:Crafting unique computational physics challenges that emulate authentic physics research workflows;Developing problems that require Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensuring that the problems are computationally intensive, requiring several days or weeks to solve manually;Formulating problems that demand complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Drawing from actual research challenges or practical applications within physics;Validating solutions through Python using standard physics simulation libraries;Providing clear documentation for problem statements and verified answers.We're looking for candidates who 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, domain-specific libraries, Stata, or any programming language is acceptable;A minimum of 2 years of professional experience in applied research or teaching;Expertise in numerical simulation methods;The ability to design challenges that reflect real physics research processes;Innovative problem design skills across various physics fields;An understanding of physics modeling and approximation techniques;Exceptional written English skills (C1+ level).How the application process operates:Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensatedProject time expectations:During active project phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. Please note this is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $14 per hour, based on their level of expertise and contribution speed. Compensation may vary among projects depending on their complexity, requirements, and scope.

Please submit your CV in English and indicate your level of English proficiency.Mindrift is a pioneering platform that connects talented specialists with project-based opportunities in AI for leading tech companies. Focused on the evaluation, testing, and enhancement of AI systems, we offer contributors a flexible way to engage in innovative projects. Note: This is a project-based role and not a permanent position.Opportunity OverviewEach project presents unique challenges, where contributors might:Invent original material engineering problems that replicate genuine engineering workflows;Develop problems that necessitate Python programming for engineering calculations and simulations;Create computationally intensive problems requiring numerical methods or iterative solutions;Formulate problems focused on system design, optimization, and analysis;Base scenarios on actual research challenges or practical applications within engineering;Validate solutions using Python alongside standard engineering libraries;Clearly document problem statements and provide verified correct answers.Ideal Candidate ProfileThis role is well-suited for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Material Science or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries may also be acceptable;A minimum of 2 years of professional experience in applied research or teaching;An understanding of practical engineering constraints and approximations;Strong written English skills (C1 or higher).How to EngageApply → Pass qualification(s) → Join a project → Complete tasks → Get compensatedProject Time CommitmentDuring active project phases, contributors can expect to dedicate approximately 10–20 hours per week, based on project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors may earn up to $14 per hour, depending on their expertise and contribution pace. Compensation can vary by project based on scope, complexity, and required skills. Please note that other projects on our platform may offer different earning levels based on their unique needs.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift is a dynamic platform connecting experts with project-based AI opportunities at leading tech firms, specializing in the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.About the Role:Each project presents unique challenges, where contributors may:Devise original computational physics challenges that emulate authentic physics research workflows;Formulate problems necessitating Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensure problems are computationally demanding and cannot be manually resolved within a practical timeframe (days/weeks);Create problems involving complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research issues or applicable scenarios from physics.Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified accurate answers.Qualifications We Seek:This opportunity is ideal for quantum researchers with Python experience who are open to flexible, part-time, non-permanent engagements. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is equivalent;At least 2 years of professional experience, which can encompass applied, research, or teaching roles;Experience with numerical simulation techniques;The ability to design problems that reflect genuine physics research processes;Innovative thinking in problem creation across various physics domains;Familiarity with physics modeling and approximation methodologies;Excellent written English skills (C1+).How the Process Works:Apply → Meet qualifications → Join a project → Complete assigned tasks → Get compensated.Project Commitment:For this engagement, tasks are estimated to require approximately 10-20 hours per week during active phases, contingent on project needs. This is merely an estimate and does not guarantee a fixed workload outside of active project phases.Compensation:Contributors can earn up to $14 per hour, depending on their contribution level and pace. Please note that compensation varies by project based on scope, complexity, and required expertise. Other projects available on the platform may offer varying compensation rates based on their specific requirements.

We invite you to submit your CV in English, along with details of your English proficiency level.At Mindrift, we specialize in connecting top-tier professionals with project-based AI opportunities for leading technology firms. Our focus is on the assessment, evaluation, and enhancement of AI systems through innovative contributions from specialists. This role is project-based and does not offer permanent employment.Key Responsibilities:As a contributor, you will engage in various project-specific tasks, which may include:Creating original optical problems that accurately simulate real-world physics research workflows;Designing computationally demanding challenges that require extensive timeframes to solve;Formulating complex problems that necessitate advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base your problems on actual research challenges or relevant practical applications in optics and physics;Clearly document problem statements and provide verified correct solutions.Ideal Candidate Profile:This opportunity is well-suited for optical engineers looking for flexible, part-time non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;At least 2 years of relevant professional experience, including applied, research, or teaching roles;Proficiency in numerical simulation methodologies;Capability to design problems that reflect authentic physics research processes;Innovative thinking in problem creation across various physics domains;Familiarity with physics modeling and approximation methods;Strong command of written English (C1+ level).Application Process:Interested candidates should apply, pass the necessary qualifications, join a project, complete assigned tasks, and receive compensation for their contributions.Workload Expectations:During active phases of projects, contributors should anticipate committing approximately 10–20 hours per week. Please note that this is an estimate and the actual workload may vary based on project needs.Compensation:Contributors can earn up to $14 per hour, depending on their experience level and contribution pace. Compensation may differ across projects based on their complexity, scope, and expertise required.

Toloka-AI seeks a Computer Science Specialist with advanced Python expertise to join AI-focused initiatives. This fully remote role is based in Belo Horizonte, State of Minas Gerais, Brazil, and centers on building impactful systems in artificial intelligence. What you will do Work closely with a team to design and develop AI-driven solutions Create and maintain Python-based systems that address practical challenges Contribute to projects that push forward AI capabilities at Toloka-AI Requirements Solid foundation in computer science principles High level of proficiency in Python programming Genuine interest in advancing AI with real-world applications Ability to collaborate effectively in a remote setting

Please submit your CV in English and indicate your English proficiency level. toloka-ai, through the Mindrift platform, offers project-based freelance work focused on evaluating, testing, and improving AI systems for leading technology companies. This is not a permanent position; assignments are tied to specific projects. Key responsibilities Create original optics challenges that reflect real research processes in physics. Design computationally intensive problems that require computer-based solutions. Develop tasks involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problem sets on real-world research questions or practical scenarios in optics and physics. Document problem statements clearly and provide accurate, verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Minimum of 2 years in applied, research, or teaching roles. Experience with numerical simulation methods. Ability to construct problems that mirror authentic research approaches in physics. Creative mindset for developing problems across various physics domains. Knowledge of physics modeling and approximation techniques. Strong written English skills at C1 level or higher. Project workflow Apply Pass qualification steps Join a project Complete assigned tasks Receive compensation Time commitment During active projects, expect to dedicate approximately 10 to 20 hours per week. Actual hours may vary and are only required while a project is in progress. Compensation Rates are up to $14 per hour, depending on experience and the complexity of the tasks. Compensation may differ between projects based on their requirements. Location This freelance remote position is based in Belo Horizonte, State of Minas Gerais, Brazil.

At Mindrift, we specialize in connecting top-tier specialists with dynamic project-based opportunities in the field of AI for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.About the PositionAs a Procurement and Supply Chain Specialist in this role, you will leverage your extensive hands-on experience to craft realistic disruption scenarios. You will be responsible for defining expected outcomes and mitigation strategies, while also evaluating AI-generated recommendations for their accuracy, completeness, and relevance to business needs.Key ResponsibilitiesWhile each project entails unique tasks, contributors may engage in:Creating realistic scenarios of supply chain disruptions (such as supplier delays, quantity adjustments, logistics complications, and quality failures) based on actual manufacturing and procurement contexts.Establishing expected outcomes and suitable strategies for mitigation for each disruption scenario.Assessing AI-generated outputs against real-world business logic for accuracy and relevance.Reviewing outputs for accuracy, completeness, and applicability within ERP environments, particularly in systems like Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP).Participating in structured data creation and validation tasks in alignment with established guidelines and frameworks.We Seek Candidates Who Have:A minimum of 4 years of direct experience in procurement, supply chain, or purchasing, preferably in a manufacturing context.A robust understanding of procurement workflows, including purchase orders, vendor management, inventory, and production planning processes.Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365.A proven capability to devise and analyze supply chain disruption scenarios and their mitigation strategies.A solid grasp of various disruption types, including delays, shortages, quality issues, and logistics challenges.Knowledge of Incoterms and logistics management.Familiarity with Bill of Materials (BOM) structures and production planning methodologies.Experience with supplier performance metrics such as On-Time In-Full (OTIF), lead times, and quality scores.An analytical mindset with the ability to evaluate AI outputs against real-world business logic.Experience in data validation, structured data entry, or annotation tasks.Proficient written communication skills in English.Application ProcessTo apply, submit your application, pass the qualification assessments, join a project, complete assigned tasks, and receive compensation for your contributions.Project Time ExpectationsThis project is expected to require approximately 10-20 hours per week during active phases, depending on project demands. Please note that this is an estimated workload and is not guaranteed.CompensationContributors can earn up to $50 per hour based on experience and project requirements.

Toloka AI seeks a Strategy Consultant with expertise in AI training and evaluation. This is a remote role based in Belo Horizonte, State of Minas Gerais, Brazil. The focus is on advising organizations as they refine their AI strategies and enhance training programs. Key responsibilities Guide companies in shaping and improving their AI training and evaluation processes Offer insights to support informed decisions for AI-related projects Assist clients in building stronger AI capabilities and refining their methodologies Location This position is remote, with a focus on candidates in Belo Horizonte, State of Minas Gerais, Brazil.

To apply, submit your CV in English and indicate your English proficiency level. Mindrift connects subject matter experts with project-based AI work for leading technology companies. Work is organized by project and does not represent permanent employment. Role overview This freelance, remote position focuses on designing and documenting advanced physics problems to support AI training. Assignments vary and may include: Developing original optics problems that reflect real-world research processes in physics Ensuring problems are computationally intensive and not easily solved by hand Creating scenarios requiring complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing challenges on actual research questions or practical applications in optics and physics Writing clear problem statements and supplying verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of professional experience, which may include research, applied, or teaching roles Experience with numerical simulation techniques Ability to design problems that mirror physics research workflows Creative approach to developing problems across multiple physics domains Familiarity with modeling and approximation methods in physics Strong written English skills (C1 level or higher) Project commitment Typical workload ranges from 10 to 20 hours per week during active projects. Actual hours may vary based on project needs. Compensation Earnings can reach up to $14 per hour, depending on contribution level and project complexity. Rates may differ by project scope and required expertise. Application process Apply with a CV in English and specify your English proficiency Complete qualification(s) Join a project Finish assigned tasks Receive compensation Location: Remote , Belo Horizonte, State of Minas Gerais, Brazil