Freelance Optical Engineer & AI Systems Trainer

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 rol…

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.

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.

Role overview Toloka AI seeks a freelance AI Trainer who combines civil engineering experience with strong Python programming skills. This contract position is fully remote, with work based in Belo Horizonte, State of Minas Gerais, Brazil. What you will do Guide and support others in civil engineering topics and Python programming as part of AI-focused projects. Help develop and refine methods for AI training. Apply your expertise to influence how new AI tools are built for the civil engineering field. Location This is a remote role tied to 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

Toloka AI seeks a Freelance English Writer to contribute to ongoing AI development projects. This remote contract role is based in Belo Horizonte, State of Minas Gerais, Brazil. The main focus is supporting the improvement of machine learning models as an AI Trainer. Responsibilities Create and edit English-language content used for AI training Refine and update existing materials to enhance the quality and accuracy of machine learning outputs Location This position is remote, with a base in Belo Horizonte, State of Minas Gerais, Brazil.

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.

toloka-ai is hiring a Freelance Junior Journalist - AI Trainer for remote work based in Belo Horizonte, State of Minas Gerais, Brazil. This role supports content creation and helps train AI systems. Responsibilities Provide accurate data and detailed feedback to help improve AI models Use AI tools and follow established workflows to complete content-related tasks Develop journalistic skills while working in a rapidly evolving field Requirements Interest in journalism and new AI technologies Willingness to learn and adapt as the field changes Strong ability to deliver clear, high-quality input and thoughtful insights

We invite you to submit your CV in English, detailing your level of English proficiency.At Mindrift, we bridge the gap between skilled professionals and dynamic, project-based AI opportunities with leading technology firms. Our mission focuses on the testing, evaluation, and enhancement of AI systems. Please note, participation is project-based and does not imply permanent employment.What to Expect:Each project presents unique challenges, and contributors may be involved in tasks such as:Creating prompts that rigorously test AI capabilities;Assessing AI-generated outputs for accuracy, underlying assumptions, and logical coherence;Enhancing AI reasoning to ensure alignment with foundational principles and industry standards;Implementing structured scoring metrics to evaluate complex problem-solving processes.Ideal Candidate Profile:This freelance opportunity is well-suited for legal consultants and attorneys with a solid background in US law who are open to part-time, non-permanent engagements. Preferred qualifications include:A law degree (Bachelor, J.D., LLM, FLLM) recognized in the US;A minimum of 2 years of legal practice experience within US jurisdiction;Exceptional written English skills (C1/C2 level);A reliable internet connection.Application Process:To get started, simply apply → complete the necessary qualifications → join a project → fulfill assigned tasks → receive payment.Project Commitment:During active project phases, contributors can expect to dedicate approximately 10–20 hours per week, depending on the specific project requirements. This is an estimate and not a guaranteed workload.Compensation Details:Contributors have the potential to earn up to $18 per hour, based on their expertise and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required skills.

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.

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.

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.

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.

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.

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 position.What You Will Do:As a contributor, you will engage in various projects that may include:Designing original computational engineering problems that replicate authentic engineering workflows;Creating problems that necessitate Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive and involve numerical methods or iterative solutions;Developing problems centered on system design, optimization, and analysis;Base problems on genuine research challenges or practical applications in engineering;Verifying solutions using Python with established engineering libraries;Clearly documenting problem statements and providing verified correct answers.Your Qualifications:This role is ideal for engineers with experience in Python who are open to part-time, non-permanent projects. The ideal candidate should possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language can be considered equivalent;At least 2 years of professional experience, with applied, research, or teaching experience being applicable;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects are advantageous.How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:Tasks are expected to require approximately 10–20 hours per week during active project phases, depending on project demands. This is an estimate and not a guaranteed workload, applicable only while the project is ongoing.Compensation:Contributors can earn up to $14 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please be aware that other projects may offer different earning potentials based on their specific needs.

toloka-ai is hiring a Freelance Supply Chain Consultant - AI Trainer for remote, project-based assignments. This contract role is open to professionals living in Belo Horizonte, State of Minas Gerais, Brazil. Engagements are not permanent employment and are structured around specific projects supporting artificial intelligence development. Role overview This position draws on deep procurement and supply chain expertise to help test, evaluate, and improve AI systems used by technology companies. The work involves designing realistic disruption scenarios, defining expected results, and reviewing AI-generated recommendations for accuracy and business value. What you will do Create supply chain disruption scenarios based on real procurement and manufacturing challenges, such as supplier delays, quantity changes, logistics issues, or quality failures. Define expected outcomes and outline effective mitigation strategies for each scenario. Evaluate AI-generated responses and recommendations, checking for accuracy, completeness, and relevance to business needs. Assess outputs within ERP systems, including Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP). Support structured data creation and validation tasks, following detailed guidelines. Requirements Minimum of 4 years’ hands-on experience in procurement, supply chain management, or purchasing, ideally within manufacturing. Strong knowledge of procurement workflows such as purchase orders, vendor management, inventory, and production planning. Practical experience with ERP platforms like SAP, Oracle, or Microsoft Dynamics 365. Ability to design and analyze supply chain disruption scenarios and propose mitigation strategies. Understanding of disruption types: delays, shortages, quality issues, and logistics challenges. Familiarity with Incoterms and transportation or logistics management. Knowledge of Bill of Materials (BOM) structures and production planning processes. Experience using 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 work. Excellent written English communication skills. How the process works Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment Projects typically require 10 to 20 hours per week during active phases. Actual workload may vary depending on project needs. Compensation Earn up to $50 per hour, depending on experience and the scope of each project.

We invite you to submit your CV in English, highlighting your proficiency in the language.At Mindrift, we specialize in connecting talented professionals with project-based opportunities in artificial intelligence for leading technology firms. Our focus is on testing, evaluating, and enhancing AI systems. This role is project-based and does not constitute permanent employment.Role OverviewEach project presents distinct tasks, where contributors may be expected to:Create prompts that effectively challenge AI systems;Assess AI-generated outputs for accuracy, underlying assumptions, and logical consistency;Enhance AI reasoning to ensure alignment with foundational principles and established standards;Utilize structured scoring criteria to evaluate multi-step problem-solving capabilities.Ideal Candidate ProfileThis position is tailored for legal consultants or attorneys experienced in US law who are interested in part-time, non-permanent engagements. Candidates should ideally possess:A degree in law (Bachelor, J.D., LLM, FLLM) recognized in the US legal framework;A minimum of 2 years of legal practice within the US jurisdiction;Exceptional written English skills (C1/C2 level);A reliable internet connection.Application ProcessTo apply, please complete the following steps: Apply → Successfully complete the qualifications → Join a project → Execute assigned tasks → Receive payment.Project CommitmentDuring active phases of the project, contributors can expect to dedicate approximately 10 to 20 hours per week, contingent upon project demands. Note that this is an estimate and not a guaranteed workload.Compensation DetailsFor this position, contributors may earn up to $18 per hour, depending on their contribution level and pace. Compensation varies based on the specific project scope, complexity, and expertise required. Please be aware that other projects on our platform may offer differing compensation levels based on their unique requirements.

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.