Freelance Electrical Engineer and Python Specialist - AI Training

Join Our Team as a Freelance Electrical Engineer with Python Skills!At Mindrift, we bridge the gap between talented professionals and exciting project-based AI opportunities with top-tier tech companies. Our focus is on evaluating, testing, and enhancing AI systems, providing you the chance to work on dynamic projects that make a difference.What You'll Be Do…

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.

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.

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, working with Mindrift, offers freelance, project-based assignments focused on advancing AI systems for technology clients. This contract role is temporary and centers on evaluating and improving AI through real-world engineering challenges. The position is remote and based in San Antonio, Texas, United States. Role overview This freelance assignment involves designing and validating material science problems that reflect actual engineering workflows. Assignments require both subject matter expertise and strong Python programming skills to create, test, and document computationally intensive tasks. What you will do Develop material engineering challenges based on authentic research questions or practical scenarios. Create problems that require Python programming for calculations, simulations, and numerical analysis. Ensure tasks involve computational complexity, using numerical methods or iterative solutions where appropriate. Design assignments related to system design, optimization, and analysis. Validate all solutions using Python and standard engineering libraries. Document each problem clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. Minimum of 2 years of professional experience in applied, research, or teaching roles. Solid understanding of engineering constraints and practical approximations. Excellent written English (C1 level or above). Project workflow Application Qualification Assessment Project Engagement Task Completion Compensation Time commitment During active project phases, expect to dedicate approximately 10–20 hours per week. Actual workload may fluctuate based on project requirements. Compensation Contributors may earn up to $76 per hour, depending on project complexity, contribution level, and pace. Compensation varies by assignment and expertise required. Other projects on the platform may offer different rates.

To apply, please submit your CV in English, along with your English proficiency level.Mindrift connects skilled professionals with project-based AI opportunities at leading tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, with contributors tasked to:Craft original computational engineering problems that replicate authentic engineering workflows;Design issues requiring Python programming to perform engineering calculations and simulations;Ensure the problems are computationally intensive, utilizing numerical methods or iterative solutions;Develop challenges focused on system design, optimization, and analysis;Base problems on actual research challenges or practical engineering applications;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis opportunity is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applicable settings such as applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Get InvolvedApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are projected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $69 per hour, contingent on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that other projects on the platform may offer varying pay scales based on specific requirements.

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.

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.

Mindrift connects chemistry experts with project-based AI work for leading tech companies. Projects focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. What you will do Create original computational chemistry problems that reflect real-world research workflows. Develop problems requiring Python programming solutions, using libraries such as numpy, scipy, and chemistry-specific packages. Ensure problems are computationally complex and not solvable manually within days or weeks. Design tasks that involve advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base problems on actual research challenges or practical chemistry applications. Validate solutions in Python using established computational chemistry methods. Write clear problem statements and provide verified solutions. Requirements Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also considered. At least 2 years of relevant experience in applied work, research, or teaching. Experience with numerical methods in chemistry. Understanding of computational chemistry concepts and techniques. Strong written English skills at C1 level or higher. How it works Submit an application and CV in English, including your English proficiency level. The process follows these steps: Apply Pass qualifications Join a project Complete assigned tasks Receive payment Project details During active project phases, tasks typically require 10-20 hours per week. Actual workload depends on project needs and may vary. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution. Compensation varies by project scope, complexity, and the specialized knowledge required. Different projects may offer different rates based on their requirements.

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we specialize in connecting skilled professionals with exciting project-based AI opportunities at leading technology companies, dedicated to testing, evaluating, and enhancing AI systems. Note that all positions are project-based and not permanent employment.Role OverviewAs a contributor, you will engage in various tasks specific to each project, including:Creating original computational statistics challenges that replicate authentic mathematical research workflows;Designing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that challenges are computationally demanding and cannot be solved manually in a reasonable timeframe;Formulating problems requiring complex reasoning in domains like number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in genuine research obstacles or practical mathematical applications;Validating solutions using Python with standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications and RequirementsThis position is ideal for statistics specialists with Python experience who are open to part-time, temporary projects. Preferred qualifications include:A degree in Statistics or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or equivalent programming languages;A minimum of 2 years of professional experience, whether in applied work, research, or teaching;Strong written English (C1+ proficiency);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Process OverviewTo participate, you will need to apply, pass any necessary qualifications, join a project, complete assigned tasks, and receive compensation.Project CommitmentActive phases of projects are estimated to require approximately 10–20 hours per week, depending on specific project demands. Please note this is an estimate and not a guaranteed workload.CompensationContributors can earn up to $73 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and expertise required. Be aware that other projects may offer differing compensation structures.

We invite you to submit your CV in English, highlighting your proficiency level in the language.Mindrift serves as a bridge connecting talented professionals with project-based AI opportunities at leading technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based and not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may engage in the following tasks:Designing innovative material engineering problems that replicate authentic engineering workflows;Formulating problems necessitating Python programming for engineering calculations and simulations;Creating computationally intensive problems that demand numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in genuine research challenges or practical engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Material Science 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;At least 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1 level or higher).Project Engagement ProcessTo get started: Apply → Pass qualification(s) → Join a project → Complete assigned tasks → Receive payment.Project Time CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $76 per hour, varying based on experience and contribution pace. Note that compensation may differ across projects based on their specific requirements.

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.

We kindly request that applicants submit their CV in English and indicate their 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 RoleEach project will present unique challenges, and contributors may be tasked with:Creating original materials that simulate authentic engineering problems;Designing challenges that involve Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive and utilize numerical methods or iterative solutions;Developing scenarios involving system design, optimization, and analysis;Formulating problems based on real-world engineering challenges or practical applications;Verifying solutions utilizing Python alongside standard engineering libraries;Clearly documenting problem statements and providing accurate solutions.What We Are SeekingThis opportunity is ideal for material scientists and engineers with Python experience who are interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Material Science 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 seen as equivalent;At least 2 years of professional experience, whether applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1+ level).How the Process WorksInterested candidates will apply, pass the required qualifications, join a project, complete assigned tasks, and receive payment.Project CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week based on project needs. This is an estimate and does not guarantee a specific workload.CompensationContributors can earn up to $76 per hour, depending on their input and contribution pace. Compensation varies across projects based on scope, complexity, and expertise required. Please note that earnings may differ for other projects on this platform.

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.

We invite you to submit your CV in English, along with your level of English proficiency.At Mindrift, we connect talented specialists with dynamic, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Role Overview:Each project will present unique challenges, but typical responsibilities may include:Crafting original computational physics problems that replicate authentic physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring the problems are computationally demanding and cannot be manually resolved within a reasonable timeframe (spanning days or weeks);Creating problems that require sophisticated reasoning in areas of mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on genuine research obstacles or practical applications from the field of physics;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing confirmed correct answers.Desired Qualifications:This opportunity is ideal for physicists with Python experience seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages considered equivalent;At least 2 years of relevant professional experience, including applied research or educational roles;Expertise in numerical simulation methodologies;Capability to design problems that reflect authentic physics research workflows;Innovative thinking in problem creation across various physics domains;Familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1 or higher).Application Process:To apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and receive compensation.Project Time Commitment:The anticipated workload for this project is approximately 10–20 hours weekly during active phases, contingent upon project requirements. Please note that this is an estimate and not a guaranteed workload.Compensation:Contributors have the potential to earn up to $76 per hour, based on their expertise and contribution pace. Compensation may vary by project, depending on scope, complexity, and required skills. Please be aware that other projects on the platform may have different compensation structures based on their specific needs.

We invite you to submit your CV in English, including your proficiency level in the language.Mindrift is a pioneering platform that connects specialists with exciting project-based AI opportunities at leading tech firms, with a focus on testing, evaluating, and enhancing AI systems. Please note that this is a project-based opportunity and not a permanent employment position.Opportunity Overview:Each project presents unique challenges, and contributors can expect to:Develop original materials and engineering problems that accurately replicate real-world engineering workflows;Craft problems that necessitate Python programming for the execution of engineering calculations and simulations;Ensure that problems are computationally rigorous and require numerical methods or iterative solutions;Create problems centered around system design, optimization, and analysis;Base problems on genuine research challenges or practical applications in engineering;Validate solutions through Python, utilizing standard engineering libraries;Clearly document problem statements and provide verified, correct solutions.Qualifications:This role is ideal for material scientists and engineers experienced in Python who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Material Science or a related field;Strong proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or other programming languages will also be considered;A minimum of 2 years of professional experience, which can include applied, research, or teaching experience;An understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level).How the Process Works:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Project Time Requirements:For this role, the expected time commitment is approximately 10–20 hours per week during active project phases, depending on project needs. This is an estimate and does not guarantee specific workloads.Compensation:Contributors can earn up to $76 per hour, based on their experience and contribution pace. Compensation varies across projects depending on scope, complexity, and expertise requirements. Please note that other projects may offer different earning levels based on their specific needs.

We kindly ask you to submit your CV in English and specify your English proficiency level.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities from leading technology firms, focusing on the assessment, testing, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.What This Role EntailsWhile each project presents distinct tasks, contributors may be involved in:Developing mechanical engineering problems at both graduate and industry levels, based on practical applications.Assessing AI-generated outputs for accuracy, underlying assumptions, and sound engineering principles.Utilizing Python (including libraries such as NumPy, SciPy, and Pandas) to validate analytical or numerical results.Enhancing AI reasoning to ensure alignment with fundamental principles and established engineering norms.Employing structured scoring criteria to evaluate multi-step problem-solving processes.Qualifications We SeekThis opportunity is particularly suitable for mechanical engineers with Python experience who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Mechanical Engineering or related disciplines (e.g., Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics).A minimum of 3 years of professional experience in mechanical engineering.Excellent written English skills (C1/C2 level).Proficiency in Python for numerical validation.A reliable internet connection.Professional certifications (e.g., PE, CEng, PMP) and experience with international or applied projects will be considered advantageous.How the Process WorksStep 1: Apply → Step 2: Pass qualifications → Step 3: Join a project → Step 4: Complete tasks → Step 5: Receive payment.Project Commitment ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This estimate is not a guarantee of workload and only applies while the project remains active.CompensationContributions will be compensated at rates up to $55/hour*.Compensation may be structured as a fixed project rate or individual rates, depending on the specific project.Some projects may offer incentive payments.*Note: Compensation rates vary based on expertise, skill assessments, location, project requirements, and other factors. Highly specialized experts may receive higher rates, while lower rates may apply during onboarding or non-core project phases. Specific payment details will be provided for each project.

Please submit your CV in English, including your language proficiency level. Mindrift connects skilled professionals with freelance, project-based AI assignments for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is not a permanent position. Role overview This freelance role centers on designing and validating material engineering challenges that mirror real-world workflows. Assignments require both subject matter expertise in material science and strong Python programming skills. What you will do Create engineering problems that reflect practical scenarios in material science Develop tasks requiring Python for engineering calculations, simulations, and computational analysis Design problems involving numerical methods, iterative solutions, system design, optimization, and analysis Base challenges on real research questions or practical engineering issues Validate problem solutions using Python and standard engineering libraries Document problem statements clearly and provide accurate, verified answers Requirements Degree in Material Science or a related discipline At least 2 years of professional experience (applied, research, or teaching) Proficient in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued Strong understanding of practical engineering constraints and approximations Written English at C1 level or higher Interest in part-time, project-based work How to join Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment During active projects, expect about 10–20 hours of work per week, depending on project needs. Actual workload may vary. Compensation Earn up to $76 per hour, based on expertise and contribution pace. Rates depend on project scope, complexity, and specialized knowledge. Some projects may offer different rates according to their requirements.

Please submit your CV in English and include your English proficiency level. Mindrift connects professionals with project-based AI work for technology companies. Assignments focus on evaluating, testing, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance position centers on material science and Python programming. AI Trainers work on tasks such as: Designing original materials engineering challenges that mirror real-world workflows Creating problems that require Python programming for calculations and simulations Ensuring tasks are computationally intensive, using numerical methods or iterative solutions Developing scenarios for system design, optimization, and analysis Formulating problems based on research questions or practical engineering applications Validating solutions in Python with standard engineering libraries Documenting problem statements clearly and providing verified solutions Requirements Degree in Material Science or a closely related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued Minimum 2 years of relevant experience (applied, research, or teaching) Strong understanding of practical engineering constraints and approximations Excellent written English skills at C1 level or higher How to apply Submit your application Complete required qualifications Join a project Finish assigned tasks Receive payment Project commitment During active project phases, work typically ranges from 10 to 20 hours per week. Actual hours depend on project needs and are not guaranteed. Compensation Contributors can earn up to $76 per hour, depending on experience, pace, and project complexity. Actual rates vary by assignment. Location This is a remote contract role based in Wisconsin, United States.

We invite you to submit your CV in English, including your level of English proficiency.Mindrift links talented specialists with project-based opportunities in AI for top tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.Overview of the Role:Each project presents unique challenges, and contributors may:Devise original computational physics problems that reflect real physics research workflows;Develop problems that necessitate Python programming solutions (utilizing Numpy, SciPy, Sympy);Create computationally intensive problems that cannot be solved manually in a reasonable timeframe (days/weeks);Formulate problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on authentic research challenges or practical physics applications;Validate solutions using Python along with standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications:This opportunity is ideal for physicists experienced in Python, who are open to part-time, non-permanent projects. The ideal contributor 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, domain-specific libraries, Stata, or knowledge of any programming language is equally valuable;A minimum of 2 years of professional experience, applicable in applied research or teaching;Experience with numerical simulation methods;The ability to design problems that accurately reflect real physics research workflows;Creative problem-solving skills across various physics disciplines;Knowledge of physics modeling and approximation techniques;Strong proficiency in written English (C1+).Process Overview:Application → Qualification(s) → Project Involvement → Task Completion → PaymentProject Commitment:During active project phases, tasks are expected to require approximately 10–20 hours per week based on project needs. This is an estimate and does not guarantee a fixed workload.Compensation:Contributors can earn up to $76 per hour, depending on their expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that different projects on the platform may offer varying compensation levels.