Civil Engineer & Python Specialist - Freelance AI Trainer

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…

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

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

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 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.

We invite you to submit your CV in English, including your English proficiency level.Mindrift is dedicated to connecting talented professionals with project-based AI opportunities at top tech companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note that participation is project-specific and does not constitute permanent employment.Key Responsibilities:Design innovative computational engineering challenges that replicate authentic engineering workflows.Create complex problems that necessitate Python programming for engineering calculations and simulations.Ensure tasks are computationally demanding, utilizing numerical methods or iterative solutions.Develop scenarios involving system design, optimization, and analysis.Base challenges on real-world research issues or practical engineering applications.Validate solutions using Python and recognized engineering libraries.Clearly document problem statements and provide meticulously verified solutions.Qualifications:This opportunity is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. The preferred candidates will have:A degree in Mechanical Engineering or a closely related discipline.Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any relevant programming language will be considered equivalent.A minimum of 2 years of professional experience in applied, research, or teaching roles.A solid understanding of practical engineering limitations and approximations.Strong command of written English (C1+ level).Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be an advantage.Project Workflow:Apply → Complete qualifications → Join a project → Fulfill tasks → Receive paymentTime Commitment:Tasks are expected to require approximately 10–20 hours per week during active phases, subject to project needs. This is an estimate and workload may vary.Compensation:Contributors can earn up to $69 per hour, based on their level of expertise and contribution pace. Please note that compensation may differ across projects depending on their scope, complexity, and specific requirements.

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.

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.

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.

Mindrift offers project-based roles for professionals interested in advancing AI systems within the field of chemistry. This freelance opportunity is remote and open to candidates based in Wisconsin, United States. The position is not permanent and is suitable for those seeking flexible, part-time project work. Role overview Contributors will design and document original computational chemistry problems that reflect real-world research workflows. Tasks include: Creating problems that require Python programming to solve, using libraries such as numpy, scipy, and specialized chemical libraries Ensuring problems are computationally intensive and not solvable manually within a short timeframe Developing scenarios that demand advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling Basing problems on authentic research challenges or practical applications in chemistry Verifying solutions in Python using standard computational chemistry methods Clearly documenting each problem statement and providing accurate, verified answers Requirements Degree in Chemistry or a related discipline Proficiency in Python for numerical validation (skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar languages are also considered) At least 2 years of experience in applied research or teaching Background in numerical methods for chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or higher) Project structure The process includes applying, passing qualifications, joining a project, completing assigned tasks, and receiving compensation. Project commitment is estimated at 10–20 hours per week during active periods, though actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, based on expertise and pace. Compensation varies by project, reflecting the scope, complexity, and required skills. Other projects may have different pay rates depending on their specific requirements. Please submit your CV in English and indicate your English proficiency level.

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 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.

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.

Mindrift connects mathematics and Python specialists with project-based AI consulting work for leading technology companies. Assignments focus on evaluating, testing, and improving AI systems. All roles are freelance and do not offer permanent employment. Role overview Projects vary in scope and challenge. As a Mathematics & Python Specialist, tasks may include: Designing original computational mathematics problems that mirror real research workflows Creating problems that require Python programming for their solution, using libraries such as Numpy, SciPy, or Sympy Developing computationally intensive problems that are impractical to solve by hand Building problems involving advanced reasoning in number theory, combinatorics, graph theory, or numerical analysis Basing problems on actual research challenges or practical mathematical scenarios Validating solutions with Python and standard mathematical libraries Documenting problem statements and supplying accurate solutions Requirements Degree in Mathematics (Pure or Applied) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Familiarity with numerical methods and symbolic computation Ability to design problems that reflect authentic mathematical research processes Knowledge of computational complexity theory Strong written English skills at C1 level or higher Project engagement Workload during active projects is typically estimated at 10–20 hours per week, depending on project needs. Actual hours may vary. Compensation Contributors may earn up to $76 per hour, with rates depending on expertise and the pace of contributions. Compensation structures differ by project complexity and requirements. Application process To apply, submit a CV in English and specify your English proficiency level. The process includes qualification steps, joining a project, completing assigned tasks, and receiving payment upon completion.

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.