Optical Engineer with Python Expertise - Freelance AI Trainer Position

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:D…

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 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 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 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.

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 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 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 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.

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, 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.

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.

This freelance Optical Engineer - AI Specialist role with toloka-ai offers remote, project-based work from Wisconsin or elsewhere in the United States. Assignments are temporary and center on supporting AI development by designing and evaluating advanced optics problems for leading technology partners. What You Will Do Create original optics problems modeled after real-world physics research processes. Design computationally intensive challenges that would require days or weeks to solve manually. Develop assignments demanding advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problems on real research scenarios or practical applications in optics and physics. Document each problem clearly and provide verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of experience in applied, research, or teaching roles Strong numerical simulation skills Ability to design problems that reflect real research workflows in physics Creative approach to formulating problems across multiple physics domains Familiarity with physics modeling and approximation techniques Excellent written English skills at C1 level or above Project Commitment Active project phases typically require about 10–20 hours per week, though this may vary by project and is not a guaranteed minimum or maximum. Compensation Earnings can reach up to $76 per hour, depending on expertise, task complexity, and completion speed. Rates may differ for other projects on the platform. Application Process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Please submit your CV in English and indicate your proficiency level.

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.

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.

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.