Please submit your CV in English and specify your English proficiency level. This freelance, project-based role connects optical engineers with opportunities to support AI development for leading tech companies. Assignments focus on testing, evaluating, and improving AI systems. The position is not permanent and work is fully remote, based in Virginia, United States. Role overview As an Optical Engineer - Freelance AI Specialist, the main responsibility is to create and document original optical problems inspired by real research workflows. These problems will often require advanced computational methods and deep reasoning across physics disciplines. What you will do Develop original optical problems that reflect authentic physics research processes Create computationally intensive challenges beyond manual calculation Design tasks involving advanced concepts in mechanics, electromagnetism, thermodynamics, and quantum mechanics Formulate problems based on real-world research or practical applications in optics and physics Document clear problem statements and provide validated solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of professional experience in applied, research, or teaching roles Strong background in numerical simulation methods Ability to design problems that mirror genuine research workflows Creative problem-solving skills across several areas of physics Familiarity with modeling and approximation techniques in physics Excellent written English at C1 level or above Process steps Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time commitment During active projects, expect to dedicate approximately 10–20 hours per week. Actual workload may shift depending on project requirements. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution speed. Final compensation varies by project complexity, scope, and required skills.

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we specialize in connecting talented experts with innovative project-based AI opportunities from leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not guarantee permanent employment.Project OverviewEach project involves distinct tasks, including but not limited to:Creating original optics problems that emulate real-world physics research workflows;Ensuring that problems are computationally intensive and cannot be resolved manually within a reasonable timeframe;Designing challenges that require intricate reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research challenges or practical applications relevant to optics and physics;Thoroughly documenting problem statements and providing verified correct answers.QualificationsThis opportunity is ideal for optical engineers who are interested in part-time, non-permanent projects. Preferred candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;Proficiency in numerical simulation methods;The capability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong written English skills (C1+ level).Project WorkflowThe process is straightforward: Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Time CommitmentDuring active phases of the project, tasks are expected to require approximately 10-20 hours per week, subject to project needs. Please note that this is an estimate and does not guarantee a specific workload.CompensationContributors can earn a competitive rate of up to $76 per hour, depending on their level of experience and contributions. Compensation may vary across different projects based on their complexity and required expertise.

Please submit your CV in English along with your English proficiency level.At Mindrift, we specialize in connecting talented professionals with project-based AI opportunities at top technology firms. Our focus is on testing, evaluating, and enhancing AI systems. Note that participation is project-specific and does not imply permanent employment.What You Will DoWhile each project presents distinct challenges, contributors may be required to:Craft original optical problems that emulate authentic physics research workflows;Ensure tasks are computationally demanding and cannot be resolved manually within reasonable timeframes (days to weeks);Design problems that necessitate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research issues or practical applications stemming from optics and physics;Clearly document problem statements and provide verified correct solutions.What We SeekThis role is ideal for optical engineers interested in part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;A minimum of 2 years of professional experience in applied, research, or teaching settings;Proficiency in numerical simulation methods;The ability to devise problems that reflect real-world physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+).How It WorksApply → Pass qualification(s) → Join a project → Complete tasks → Get compensated.Project CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $76 per hour, depending on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels.

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities at leading tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. Note: Participation is on a project basis rather than permanent employment.About the RoleEach project presents distinct challenges, and contributors may be tasked to:Develop innovative computational physics problems that reflect authentic physics research workflows;Craft problems necessitating Python programming solutions (utilizing Numpy, SciPy, Sympy);Ensure the problems are computationally demanding, requiring extensive timeframes to solve (days or weeks);Formulate problems requiring complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research dilemmas or practical scenarios from the field of physics;Verify solutions using Python with established physics simulation libraries;Clearly document problem statements and provide verified correct answers.QualificationsThis opportunity is ideal for optical engineers with Python expertise who are open to part-time, non-permanent projects. We are looking for contributors who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of other programming languages is acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that replicate authentic physics research workflows;Creative approaches to problem design across various physics domains;Understanding of physics modeling and approximation methods;Strong command of written English (C1+ level).How It WorksApplication → Qualification(s) → Project Participation → Task Completion → PaymentProject Time ExpectationsFor this project, tasks are projected to require around 10–20 hours per week during active phases, depending on project needs. This is an estimate, not a guaranteed workload, and applies only while the project is active.CompensationContributors can earn up to $76 per hour, depending on their level and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Note that other projects on the platform may offer different earning potentials based on their respective requirements.

Please submit your CV in English and specify your English proficiency level. toloka-ai, working with Mindrift, offers freelance, project-based assignments for optical engineers and AI systems consultants. These projects center on testing, evaluating, and improving AI systems for leading technology companies. This is a remote, non-permanent contract role based in Iowa, United States. Role overview This freelance position involves developing original optical problems that reflect real-world physics research. Assignments require designing computational challenges that go beyond what can be solved manually in a reasonable timeframe. Scenarios should be rooted in genuine research issues or real applications in optics and physics. What you will do Create advanced problems covering mechanics, electromagnetism, thermodynamics, and quantum mechanics Design challenges that require computational approaches and advanced reasoning Document problem statements clearly and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Minimum of 2 years of professional experience (applied, research, or teaching) Strong skills in numerical simulation methods Experience designing problems that mirror authentic research workflows Creative problem-solving across multiple physics domains Familiarity with physics modeling and approximation methods Excellent written English, C1 level or higher How the process works Apply Pass qualifications Join a project Complete assigned tasks Receive payment Time commitment Active projects typically require about 10–20 hours per week. Actual time may vary based on project needs. Compensation Earnings can reach up to $76 per hour, depending on expertise and task completion rate. Actual pay varies with project complexity, scope, and required skills.

We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we bridge the gap between specialists and project-oriented AI opportunities for top tech firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may:Craft original optics-related problems that emulate authentic physics research workflows.Design problems that are computationally demanding and cannot be resolved manually in a reasonable timeframe (days or weeks).Formulate problems that necessitate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base their problems on genuine research challenges or practical applications from the fields of optics and physics.Clearly document problem statements and provide verified, accurate answers.QualificationsThis role is ideal for optical engineers interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines.A minimum of 2 years of professional experience in applied, research, or teaching roles.Proficiency in numerical simulation techniques.The ability to design problems that reflect real physics research workflows.Innovative thinking in problem design across a variety of physics domains.Familiarity with physics modeling and approximation strategies.Strong written English skills (C1 or higher).Project WorkflowThe process involves: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time CommitmentActive project tasks are expected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $76 per hour, depending on their level of input and contribution pace. Compensation varies by project based on its scope, complexity, and the expertise required. Note that other projects may offer different compensation levels.

Please submit your CV in English and indicate your level of English proficiency. At Mindrift, we bridge the gap between talented professionals and innovative AI projects for top-tier technology companies. Our focus is on enhancing, testing, and evaluating cutting-edge AI systems. Note: Participation is project-based and does not constitute permanent employment.Project OverviewAs part of our collaborative team, you will engage in a variety of unique projects which may include:Designing original computational physics challenges that emulate authentic physics research workflows;Creating programming problems that necessitate Python solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring problems are computationally demanding and cannot be resolved manually within reasonable timeframes;Developing intricate problems requiring advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research obstacles or practical applications within the field of physics;Validating solutions with Python and established physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis opportunity is ideal for optical engineers experienced in Python who are open to part-time, project-based engagements. The successful candidate will ideally possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also considered valuable;A minimum of 2 years of relevant professional experience, including applied research or teaching;Experience in numerical simulation techniques;The ability to design problems that accurately reflect real-world physics research workflows;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation methods;Strong command of written English (C1 or higher).Application ProcessSteps: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Project CommitmentActive project phases are estimated to require approximately 10–20 hours of work per week, based on project demands. This is an estimation, not a guaranteed workload.Compensation DetailsContributors can earn up to $76 per hour, depending on their expertise and contribution pace. Please note that compensation varies across different projects in terms of scope, complexity, and required expertise.

We invite you to submit your CV in English and specify your English proficiency level.Mindrift specializes in connecting talented individuals with project-based AI opportunities for top-tier technology companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that this engagement is project-based and does not constitute permanent employment.Opportunity OverviewContributors will engage in various tasks tailored to each project, which may include:Crafting original computational physics problems that reflect authentic physics research workflows;Formulating challenges that require Python programming to resolve, utilizing libraries such as Numpy, SciPy, and Sympy;Ensuring that problems are computationally demanding and cannot be manually solved within feasible timeframes (days/weeks);Creating problems that necessitate complex reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding challenges in real-world research dilemmas or practical applications within physics;Validating solutions using Python alongside established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Candidate ProfileThis position is suited for optical engineers experienced in Python, who are interested in part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages;A minimum of 2 years of professional experience, whether in applied physics, research, or education;Experience with numerical simulation methodologies;The capability to design problems that accurately reflect genuine physics research processes;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1+ level).Process OverviewApply → Meet qualifications → Join a project → Complete tasks → Receive compensationProject Time CommitmentActive phases of projects are estimated to require approximately 10–20 hours per week, based on project specifications. This is an estimation and not a guaranteed workload during project activity.CompensationContributors can earn up to $76 per hour, contingent on their experience level and contribution pace. Compensation may differ across projects based on their scope and necessary expertise. Other projects on the platform may present varying earning opportunities based on specific requirements.

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we specialize in connecting talented professionals with exciting project-based AI opportunities for prominent tech companies, emphasizing the evaluation, testing, and enhancement of AI systems. This is a project-based role, not a permanent position.What You Will Do:Devise original computational physics problems that replicate authentic physics research workflows;Formulate problems that utilize Python programming for resolution (utilizing Numpy, SciPy, Sympy);Ensure problems are computationally demanding and cannot be resolved manually in a practical timeframe (days/weeks);Create challenges that necessitate complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Anchor problems in real research dilemmas or practical applications from the field of physics;Validate solutions using Python with established physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications:This is an ideal opportunity for optical engineers with Python experience who are seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language being acceptable;A minimum of 2 years of relevant professional experience: applied, research, or teaching experience is valid;Experience with numerical simulation techniques;Capability to design problems that reflect genuine physics research workflows;Innovative thinking in problem design across various physics domains;Knowledge of physics modeling and approximation techniques;Strong written English skills (C1+ level).Process Overview:Apply → Successfully complete qualifications → Engage in a project → Fulfill tasks → Receive payment.Project Commitment:For this project, tasks are projected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and does not guarantee a specific workload while the project is active.Compensation:Contributors can earn up to $76 per hour, contingent on their level of expertise and contribution pace.Compensation varies by project based on scope, complexity, and required expertise. Please note that other projects on our platform may offer different compensation levels based on their specific requirements.

We kindly request that you submit your CV in English, along with your English proficiency level.At Mindrift, we specialize in connecting talented professionals with project-based AI roles for top-tier tech companies, with a focus on evaluating, testing, and enhancing AI systems. This is a project-based role, not a permanent position.Role OverviewEach project presents its own unique challenges, where contributors may be tasked with:Creating innovative computational physics problems that reflect authentic research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that the problems are computationally intensive and cannot be resolved manually within practical timeframes;Designing tasks that require complex reasoning within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or applicable scenarios from physics;Validating solutions through Python using established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis opportunity is perfect for optical engineers proficient in Python who are interested in part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;The ability to craft problems that emulate real physics research processes;Creative problem-solving skills across various physics domains;Knowledge of modeling techniques and physics approximations;Strong written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and get compensated.Project CommitmentFor this role, the estimated workload during active project phases is approximately 10–20 hours per week, contingent upon project needs. This is an estimate, and not a guaranteed workload during the project's active period.Compensation DetailsContributors can earn up to $76 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on their scope, complexity, and required skill set.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift serves as a bridge connecting talented specialists with project-based AI opportunities at leading technology firms, with a focus on assessing, evaluating, and enhancing AI systems. Please note that participation is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, and contributors may be tasked with:Crafting original computational engineering scenarios that replicate genuine engineering processes;Formulating problems that necessitate Python programming for solving engineering equations and simulations;Ensuring that problems are computationally demanding and utilize numerical methods or iterative solutions;Creating tasks related to system design, optimization, and analysis;Using real research challenges or practical applications from engineering as a foundation for the problems;Validating solutions with Python using standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.QualificationsThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. The preferred qualifications include:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is also acceptable;A minimum of 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1 level or above);Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are considered advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active project phases, tasks are estimated to require approximately 10–20 hours per week, based on project specifications. This is an estimate and does not guarantee a fixed workload while the project is ongoing.CompensationContributors can earn up to $69 per hour, depending on their experience and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise; note that different projects on the platform may have varying pay levels.

Toloka AI is seeking a Freelance AI Trainer with a strong background in both Biology and Python. This remote contract role is based in Wisconsin, United States. Role overview This position centers on creating and presenting training materials for AI projects. The main focus is on helping others understand biological concepts and Python programming as they relate to artificial intelligence work. What you will do Develop clear, effective training content covering biology and Python topics Deliver these materials to support AI project teams Communicate complex ideas in a way that is accessible and engaging Requirements Expertise in biology Strong knowledge of Python programming Ability to explain technical subjects clearly

Are you a chemical engineering expert excited about the opportunity to influence the future of artificial intelligence? Large-scale language models are advancing from simple chatbots to powerful tools for scientific exploration. With the right training data, tomorrow's AI can revolutionize education, align with groundbreaking research, and enhance lab and industrial processes across the engineering landscape. Your expertise is crucial in delivering the data that will empower the next generation of AI. We are seeking chemical engineering specialists who are passionate about thermodynamics, reaction engineering, process design, transport phenomena, chemical kinetics, catalysis, materials science, and biochemical engineering. You will engage with advanced language models on complex topics such as reactor optimization, heat and mass transfer, fluid mechanics, phase equilibria, process safety, separation processes, polymer science, and industrial process control—documenting every error to refine model reasoning. On a typical day, you will interact with the model to tackle real-world engineering challenges and theoretical chemical engineering inquiries, ensure the accuracy of information and logical consistency, document reproducible error instances, and provide suggestions for enhancements to our prompt engineering and evaluation methodologies. A PhD in chemical engineering or a closely related engineering discipline is preferred. Experience with peer-reviewed publications, process simulations, lab-scale or pilot-plant work, or industry experience using tools like Aspen Plus or COMSOL is highly advantageous. Excellent metacognitive communication skills—“showing your work”—are essential. Are you prepared to leverage your chemical engineering expertise to contribute to the knowledge base for the AI of tomorrow? Apply today and help educate the model that will educate the world.

Toloka AI seeks a freelance Civil Engineer & Python Specialist to help train AI applications. This remote contract role is open to candidates based in New York, United States. The position brings together civil engineering expertise with practical Python programming to support Toloka AI’s projects. Key responsibilities Use civil engineering knowledge and Python skills to develop and improve AI solutions. Create educational materials that assist with AI training and development. Lead or join training sessions on engineering and programming topics. Collaborate with the Toloka AI team to enhance AI model performance. Requirements Strong foundation in civil engineering concepts and practices. Proficient Python programming skills. Experience with AI application development or training is a plus. Clear communication skills, both in writing and in training settings. Ability to work independently as a freelancer and coordinate with a distributed team.

Kindly submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.Project OverviewEach project presents unique challenges, where contributors might be involved in:Creating original computational engineering problems that mimic real-world engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Grounding problems on practical research challenges or real-world engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We SeekThis position is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;At least 2 years of professional experience, whether in applied, research, or teaching contexts;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project demands. This estimate is not a guaranteed workload and applies only while the project is active.CompensationContributors can earn up to $69 per hour, contingent on their experience and contribution pace. Compensation varies by project based on its scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels according to their specific requirements.

To apply, please submit your CV in English and indicate your English proficiency level. About the Role toloka-ai, in partnership with Mindrift, connects skilled professionals to project-based AI work for leading technology companies. This position supports the testing, evaluation, and improvement of AI systems. Please note: this is a project-based, freelance role and not a permanent position. What You Will Do Create original optics problems modeled on real-world physics research workflows Design computationally challenging problems that require more than manual calculation (days or weeks of work) Develop problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on actual research challenges or practical applications in optics and physics Document problem statements clearly and provide verified solutions Who We're Looking For Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of professional experience in applied physics, research, or teaching Experience with numerical simulation methods Ability to design problems that mirror real physics research Creative problem-solving skills across multiple physics areas Understanding of physics modeling and approximation techniques Written English proficiency at C1 level or above How Projects Work Apply Meet qualifications Join a project Complete assigned tasks Receive payment Time Commitment Active project phases typically require about 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Earnings can reach up to $76 per hour, depending on expertise and task completion rate. Pay may differ between projects based on their scope, complexity, and required skills.

We invite you to submit your CV in English, including your English proficiency level.Mindrift specializes in connecting experts with project-based AI opportunities for leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity Overview:As a contributor, you will engage in diverse projects that may include:Crafting original computational engineering challenges that replicate genuine engineering processes.Formulating problems that necessitate Python programming for engineering calculations and simulations.Ensuring that challenges are computationally demanding and utilize numerical methods or iterative solutions.Creating scenarios focused on system design, optimization, and analysis.Developing problems based on authentic research challenges or practical engineering applications.Validating solutions through Python using standard engineering libraries.Clearly documenting problem statements and providing verified correct answers.Qualifications We Seek:This role is ideal for engineers proficient in Python and open to part-time, non-permanent project work. The ideal candidates will possess:A degree in Electrical Engineering or a related field.Expertise in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also valuable.A minimum of 2 years of professional experience, encompassing applied, research, or teaching roles.A strong understanding of practical engineering constraints and approximations.Excellent written English skills (C1+ level).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:During active phases, expect tasks to require approximately 10–20 hours per week, subject to project demands. This estimate is not a guaranteed workload and applies only while the project is active.Compensation:Contributors can earn up to $69 per hour, contingent on their experience and contribution pace. Compensation varies by project based on its scope, complexity, and the expertise required. Other projects on the platform may offer different compensation rates based on their specific requirements.

Are you a seasoned civil engineering professional excited about the transformative potential of AI? As large-scale language models advance from basic chatbots to sophisticated tools for technical and structural analysis, your expertise is crucial in shaping this evolution. By providing high-quality training data, we can enhance AI capabilities, democratize access to expert knowledge, and optimize engineering processes globally. Your contributions will be foundational in powering the next generation of AI. We are on the lookout for civil engineering specialists with a passion for various fields, including structural analysis, geotechnical engineering, transportation systems, environmental engineering, construction management, fluid mechanics, urban planning, and materials science. You'll engage with advanced language models on complex topics such as load-bearing design, finite element analysis, hydrology, soil-structure interaction, sustainability assessments, and CAD-based project planning—meticulously documenting every error to refine the model's reasoning. In your daily role, you will interact with the AI on practical scenarios and theoretical civil engineering inquiries, ensuring factual accuracy and logical coherence, capturing reproducible error traces, and suggesting enhancements to our prompt engineering and evaluation criteria. A Bachelor's or Master's degree in civil engineering or a closely related field is preferred. Experience with peer-reviewed publications, infrastructure projects, site inspections, or public works planning will be advantageous. Exceptional metacognitive communication skills—demonstrating your thought process—are essential. Are you ready to leverage your civil engineering knowledge to contribute to the AI that will educate and innovate? Apply today and be part of a groundbreaking initiative!

We invite you to submit your CV in English and specify your English language proficiency level.At Mindrift, we connect skilled professionals with project-based AI opportunities for top technology firms, concentrating on the testing, assessment, and enhancement of AI systems. Please note that participation is project-based rather than permanent employment.Opportunity OverviewEach project presents its own unique challenges, and contributors may be tasked with:Crafting original computational engineering problems that reflect authentic engineering workflows;Generating problems that necessitate Python programming for engineering calculations and simulations;Ensuring the problems are computationally demanding and involve numerical methods or iterative solutions;Creating problems that entail system design, optimization, and analytical processes;Drawing from real-world research challenges or practical applications in engineering practice;Validating solutions using Python along with established engineering libraries;Clearly documenting problem statements and providing accurate verified solutions.Qualifications We SeekThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries will be considered equivalent;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;An understanding of practical engineering constraints and approximations;Strong 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 the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Receive compensationProject Time ExpectationsDuring active phases, tasks are projected to require approximately 10–20 hours per week, contingent on project demands. This estimate is not a guaranteed workload and pertains only while the project is active.CompensationContributors can earn up to $69 per hour depending on their level of expertise and pace of contribution. Compensation varies across projects based on scope, complexity, and required skills. Be aware that other projects on the platform may offer different compensation levels based on their specific requirements.