Freelance Optical Engineer with Python Expertise for AI Projects

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 Doing:Craft challenging electrical engineering problems that reflect real-world applications.Assess AI solutions for accuracy, underlying assumptions, and constraints.Validate simulations and calculations utilizing Python libraries such as NumPy, Pandas, and SciPy.Enhance AI reasoning capabilities to meet industry-standard logic.Implement structured scoring criteria for complex multi-step problems.Who We're Looking For:This role is perfect for electrical engineers with Python experience seeking part-time, non-permanent projects. Ideal candidates will possess:A degree in Electrical Engineering or related disciplines, such as Electronics, Microelectronics, Embedded Systems, or Power Systems.A minimum of 3 years of professional experience in electrical engineering.Proficiency in written English (C1/C2 level) and strong Python skills for numerical validation.A reliable internet connection.Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience with international or applied projects are advantageous.How to Get Started:Apply, pass our qualifications, join a project, complete tasks, and receive payment!Project Commitment:Expect to dedicate about 10–20 hours per week during active project phases—this is an estimate based on project requirements.Compensation:Competitive pay with rates up to $55/hour*.Compensation may be based on either fixed project rates or individual rates.Some projects may include incentive payments.*Note: Rates can vary based on expertise, skills assessment, location, and project needs. Higher rates may be available for specialized experts. Lower rates may apply during onboarding or non-core phases.

Please submit your resume in English and specify your English proficiency level. Mindrift offers project-based assignments for professionals in technology fields, focusing on testing and improving AI systems. This freelance role is not a permanent position and is open to candidates based in Wisconsin, United States. All work is remote. Role overview This freelance AI Trainer position blends electrical engineering knowledge with Python programming. The role centers on designing and verifying engineering problems that challenge AI systems, using real-world scenarios and computational methods. Main responsibilities Design computational engineering problems that mirror real engineering workflows Create tasks requiring Python programming for calculations and simulations Ensure problems involve numerical methods or iterative solutions and are computationally intensive Develop challenges in system design, optimization, and analysis Base problems on research topics or practical engineering applications Verify solutions using Python and standard engineering libraries Document problem statements clearly and provide accurate, verified answers Requirements Degree in Electrical Engineering 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 Minimum of 2 years of professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or above Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are considered a plus How to apply Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment Project phases usually require about 10-20 hours per week. Actual workload may shift depending on project needs. Compensation Contributors can earn up to $69 per hour, depending on experience and contribution speed. Rates may vary by project based on complexity, scope, and required expertise. Other projects on Mindrift may offer different compensation levels.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced specialists with project-based AI assignments for top technology companies. Work centers on testing, evaluating, and improving AI systems. This is a freelance, project-based role, not a permanent position. Role overview This freelance position for an Electrical Engineer & Python Specialist - AI Trainer focuses on designing and validating computational engineering challenges that mirror real-world problems. All work is remote, based in Iowa, United States. Create original engineering problems that reflect actual workflows Develop challenges requiring Python programming for calculations and simulations Ensure tasks involve computational intensity, such as numerical methods or iterative solutions Design scenarios around system design, optimization, and analytical problem-solving Base problems on real research or practical engineering experience Validate solutions in Python using standard engineering libraries Clearly document problem statements and provide verified solutions Requirements Degree in Electrical Engineering or a related discipline Professional experience (2+ years) in applied, research, or teaching settings Proficient in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or Stata is valued Strong understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus Project process Candidates complete an application and qualification phase. Once accepted, contributors join projects, complete assigned tasks, and receive payment for completed work. Time commitment Active project periods typically require 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload. Compensation Earnings can reach up to $69 per hour, depending on skill, speed, and project complexity. Each project may offer different compensation based on its requirements.

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.

Please submit your CV in English and indicate your English proficiency level. toloka-ai partners with Mindrift to offer freelance, project-based work focused on advancing AI systems for major technology companies. This contract role centers on testing, evaluating, and improving AI models. Engagement is on a per-project basis and does not constitute permanent employment. Role overview This position calls for an optical engineer with strong Python skills to create and validate computational physics problems. The work involves designing programming challenges that reflect real research scenarios, particularly in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Each problem should require significant computational effort, often taking days or weeks to solve by hand. Solutions are verified using Python and standard physics simulation libraries. Key responsibilities Design original computational physics problems based on real-world research workflows. Create programming challenges using Python, with libraries such as Numpy, SciPy, or Sympy. Ensure problems are computationally intensive and require advanced reasoning. Develop scenarios across multiple physics domains, drawing from authentic research or practical applications. Validate solutions in Python using standard simulation tools. Document clear problem statements and provide verified solutions. Requirements Background in optical engineering with experience in Python programming. Degree in Physics (theoretical, experimental, or computational) or a related discipline. Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus. Minimum of 2 years' professional experience in applied research, teaching, or related fields. Experience with numerical simulation methods and physics modeling techniques. Ability to design problems that reflect real research workflows in physics. Creative problem-solving skills across various physics areas. Strong written English skills at C1 level or higher. Application process Candidates will need to pass required qualifications, join a project, complete assigned tasks, and will be compensated upon completion. Time commitment During active project phases, expect to commit approximately 10–20 hours per week. Workload may vary depending on project needs. Compensation Earn up to $76 per hour, based on expertise and contribution speed. Actual compensation depends on project scope, complexity, and required skills. Other projects on the platform may offer different earning rates. Location: Remote , New York, United States

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based assignments to help technology companies test, evaluate, and improve AI systems. These roles are not permanent positions but offer flexible, freelance work. Role overview This freelance opportunity is designed for electrical engineers with strong Python skills who are interested in part-time, project-based work. The main focus is on designing and validating computational engineering challenges that mirror real-world engineering scenarios. Create engineering problems that simulate authentic processes and require Python programming for calculations and simulations Develop computationally intensive challenges involving numerical or iterative methods Focus on system design, optimization, or analysis in the problems you create Base each challenge on real research or practical engineering applications Validate solutions using Python and established engineering libraries Document each problem statement clearly and provide verified solutions Requirements Degree in Electrical Engineering or a related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus Minimum of 2 years of professional experience in applied work, research, or teaching Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Professional certifications such as CMME, SAS Certifications, CAP, and experience with international or applied projects are advantageous Project workflow Submit your application Complete qualification steps Join a project Work on assigned tasks Receive payment Time commitment Most project phases require an estimated 10-20 hours per week. Actual workload may vary depending on project needs and timing. Compensation Earnings can reach up to $69 per hour, depending on expertise and project complexity. Rates may differ by assignment based on scope and required skills. Location This is a remote contract role based in San Antonio, Texas, United States.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects skilled professionals with project-based AI work for major technology companies. The focus is on testing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance position combines electrical engineering expertise with Python programming skills. Contributors work on assignments that mirror real-world engineering workflows and research challenges. Projects focus on designing and verifying computational problems that require advanced calculations and simulations. Create engineering problems that involve system design, optimization, and analysis Develop scenarios requiring numerical methods or iterative solutions using Python Base assignments on practical engineering tasks or current research topics Verify solutions in Python, applying standard engineering libraries Document problem statements and provide clear, accurate answers Requirements Degree in Electrical Engineering or a closely related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus At least 2 years of professional experience in applied, research, or educational contexts Understanding of engineering constraints and practical approximations Strong English writing skills at C1 level or higher Certifications such as CMME, SAS, or CAP, and experience with international or applied projects are advantageous How to participate The process includes applying, passing qualifications, joining a project, completing assigned tasks, and receiving compensation. Project commitment During active project phases, tasks typically require 10–20 hours per week. Workload may vary and is not guaranteed outside these periods. Compensation Contributors may earn up to $69 per hour, depending on expertise and project requirements. Compensation varies by assignment, based on scope, complexity, and required skills. Other projects on the platform may offer different rates. Location: Remote , Virginia, United States

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.

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.

Please submit your CV in English and indicate your English proficiency level. Mindrift matches professionals with project-based AI work for top technology companies. Projects focus on evaluating, testing, and refining AI systems. All roles are contract-based and do not constitute permanent employment. Role overview This freelance position is for AI trainers with a background in research physics and Python programming. Assignments vary, but the work centers on designing and validating computational physics problems that mirror real research scenarios. Create computational physics challenges inspired by actual research workflows Develop tasks requiring Python solutions, often using libraries such as Numpy, SciPy, or Sympy Ensure problems are complex enough to require computation, not manual calculation Cover topics like mechanics, electromagnetism, thermodynamics, or quantum mechanics Base scenarios on genuine research questions or practical physics applications Validate solutions using Python and established simulation tools Clearly document each problem and provide verified solutions Requirements Degree in physics (theoretical, experimental, or computational) or a related discipline Proficient in Python for numerical work; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus Minimum 2 years of experience in applied research or teaching Background in numerical simulation methods Ability to design problems that reflect authentic research processes Creative approach to developing challenges across various physics domains Strong grasp of modeling and approximation techniques in physics Excellent written English (C1 level or higher) Project workflow Application Qualification process Project participation Task completion Compensation Time commitment During active projects, tasks typically require 10–20 hours per week. Actual workload may vary based on project needs. Compensation Contributors may earn up to $76 per hour, depending on skills, speed, and project requirements. Rates can vary according to project scope and complexity. Location This is a remote contract role open to candidates based in Wisconsin, United States.

Please submit your CV in English and specify your English proficiency level. Toloka AI, through Mindrift, connects specialists with project-based work focused on testing, evaluating, and improving AI systems for technology companies. This freelance role is not a permanent position and offers flexibility for those interested in contributing to AI development remotely from Virginia, United States. Role overview This freelance research physicist position centers on creating and validating computational physics problems for AI training. Projects involve designing challenges that require Python programming and reflect authentic research workflows. The work is project-based, with hours varying according to project needs. What you will do Create original computational physics problems modeled on real research scenarios. Design problem sets that require Python solutions, using libraries such as Numpy, SciPy, and Sympy. Develop computationally intensive problems that would be impractical to solve manually. Build scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw from real research or practical applications in physics. Validate solutions in Python using established simulation libraries. Document each problem clearly, providing verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also acceptable. Minimum of 2 years of professional experience in research, applied work, or teaching. Comfort with numerical simulation techniques and modeling in physics. Ability to design problems that reflect real-world research challenges. Creative problem-solving across multiple physics domains. Excellent written English (C1 level or higher). How to apply The application process includes the following steps: Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Project details During active phases, expect to spend approximately 10–20 hours per week, depending on project requirements. This estimate may change with project scope and workload. Compensation Contributors can earn up to $76 per hour equivalent. Actual rates depend on the nature and complexity of the work. Compensation may vary between projects based on requirements.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects subject matter experts with project-based AI work for major technology companies. Projects center on assessing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance contract focuses on designing and verifying computational physics problems for AI training. The work is remote and open to candidates based in Wisconsin, United States. What you will do Create original computational physics problems that reflect real research workflows. Develop challenges that require Python programming to solve, often using libraries such as Numpy, SciPy, and Sympy. Ensure each problem requires significant computation and cannot be solved by hand within a reasonable time. Design scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base challenges on authentic research questions or practical situations in physics. Verify solutions using Python and standard physics simulation tools. Document problems clearly and provide thoroughly checked solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. At least 2 years of relevant experience in research, application, or teaching. Background in numerical simulation methods. Ability to design problems reflecting real research workflows in physics. Creative thinking across multiple areas of physics. Solid understanding of modeling and approximation techniques in physics. Excellent written English (C1 level or higher). How the process works Apply Complete required qualifications Join a project Finish assigned tasks Receive payment Project time commitment Active projects typically require about 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Actual rates and workload vary based on project scope, complexity, and required skills.

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.

Toloka AI, through Mindrift, connects experienced professionals to project-based assignments that support AI training for leading technology companies. This contract role is not a permanent position and offers work on a project-by-project basis. Role overview This freelance Optical Engineer position focuses on developing and validating computational physics problems for AI training and evaluation. Projects often require strong Python programming skills and familiarity with libraries such as Numpy, SciPy, or Sympy. Assignments may involve: Designing computational physics challenges that reflect real research workflows Creating problems that require Python-based solutions, often using scientific libraries Ensuring tasks are complex enough that they cannot be solved by hand in a short time Developing scenarios involving mechanics, electromagnetism, thermodynamics, and quantum mechanics Basing challenges on real-world physics or authentic research problems Validating solutions using Python and standard physics simulation tools Clearly documenting problem statements and providing verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Proficiency in Python for numerical problem-solving; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is a plus Minimum of 2 years of professional experience (applied, research, or teaching) Background in numerical simulation methods Ability to design problems based on actual research workflows Creative problem-solving across multiple physics domains Understanding of physics modeling and approximation techniques Strong written English skills at C1 level or above Application process Submit your CV in English and indicate your English proficiency level Complete qualification steps Join a project Work on assigned tasks Receive compensation Time commitment During active project phases, expect to dedicate approximately 10–20 hours per week. Workload may vary depending on project needs. Compensation Compensation can reach up to $76 per hour, based on expertise and task completion rate. Actual pay depends on project complexity, scope, and experience required. Other projects on the platform may offer different rates. Location: Remote , Virginia, United States

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.

Toloka AI is hiring a freelance AI trainer with experience in civil engineering and Python. This contract position is fully remote and based in Iowa, United States. The role centers on bringing together civil engineering knowledge and artificial intelligence to support the development of advanced AI models. Role overview This position focuses on training AI systems by applying technical expertise from civil engineering. The work involves hands-on tasks that blend engineering concepts with machine learning projects. What you will do Guide the development of AI models using civil engineering knowledge Support training and project tasks with Python programming Collaborate with Toloka AI's team to advance AI applications in civil engineering Location This is a remote contract role based in Iowa, United States.

Submit your CV in English and indicate your proficiency level. Role overview This freelance, project-based role at Mindrift focuses on evaluating, testing, and improving AI systems for leading technology companies. Assignments connect specialized optical engineering talent with AI-driven projects. The position is not permanent employment, and work is remote from San Antonio, Texas, or elsewhere in the United States. What you will do Create original computational physics problems modeled after real-world research workflows. Develop Python-based solutions using libraries such as Numpy, SciPy, and Sympy. Design computationally intensive problems that cannot be solved by hand in a reasonable time. Formulate advanced problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw from authentic research challenges or practical physics applications. Validate solutions using Python and standard physics simulation libraries. Document each problem statement and provide verified, correct solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. At least 2 years of professional experience in applied, research, or teaching roles. Background in numerical simulation techniques. Ability to design problems reflecting real research workflows in physics. Creativity in developing problems across multiple areas of physics. Understanding of physics modeling and approximation methods. Strong written English skills at C1 level or above. How to apply Submit your CV. Meet the qualification criteria. Join a project. Complete assigned tasks. Receive compensation. Project commitment During active project periods, expect to dedicate around 10–20 hours per week. Actual workload may vary and is not guaranteed outside of these phases. Compensation Earnings can reach up to $76 per hour, depending on expertise and the rate of task completion. Compensation varies by project scope, complexity, and required proficiency. Other projects on the Mindrift platform may offer different rates based on specific requirements.

Submit your CV in English and include your English proficiency level in the application. This freelance, project-based role with Mindrift connects electrical engineers and Python specialists to AI training projects for leading technology companies. Assignments focus on evaluating, testing, and improving AI systems through the creation and validation of challenging engineering problems. Role overview Freelance Electrical Engineers & Python Specialists work on projects that require designing computational problems reflecting real-world engineering workflows. Tasks often include: Developing engineering problems that simulate practical scenarios Creating problems that involve Python programming for calculations and simulations Ensuring problems use numerical methods or iterative solutions and are computationally demanding Designing scenarios related to system design, optimization, or analysis Basing tasks on actual research challenges or applied engineering cases Validating solutions in Python using standard engineering libraries Documenting clear problem statements and verified solutions Requirements Degree in Electrical Engineering or a closely related field Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued Minimum of 2 years of experience in applied engineering, research, or teaching Understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are a plus Project commitment During active project periods, the expected commitment is approximately 10–20 hours per week. Actual hours may shift based on project needs. Compensation Contributors can earn up to $69 per hour, depending on expertise and project pace. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Location: Remote , New York, United States