Civil Engineer & Python Specialist - Freelance AI Trainer

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.

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.

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.

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. 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.

toloka-ai seeks a freelance AI Trainer who combines expertise in civil engineering with strong Python programming skills. This fully remote contract centers on supporting learners interested in artificial intelligence, with a focus on candidates based in San Antonio, Texas. Role overview This position involves sharing technical knowledge and practical experience to help others build their skills in AI. The work is project-based and offers flexibility in schedule and approach. What you will do Mentor and guide individuals exploring AI, using a background in civil engineering and Python to clarify concepts. Assist others in developing technical skills and understanding foundational topics relevant to artificial intelligence. Location This role is remote, with a preference for those located in San Antonio, Texas, United States.

Toloka AI seeks a freelance AI trainer with experience in civil engineering and Python. This contract position is fully remote and open to candidates living in Wisconsin, United States. Role overview This role combines civil engineering expertise with Python programming to advance machine learning projects. The work centers on improving AI tools that address real-world challenges in civil engineering. What you will do Apply civil engineering principles to support the creation and enhancement of machine learning models. Use Python to train, test, and refine AI systems. Share insights that help tailor AI solutions for civil engineering tasks. Location This is a remote position for candidates based in Wisconsin, United States.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for leading technology companies. These projects focus on assessing, evaluating, and improving AI systems. Participation is on a project basis and does not represent permanent employment. What you will do Create original computational mathematics problems that mirror real mathematical research workflows Design problems requiring Python programming to solve, using libraries such as Numpy, SciPy, or Sympy Ensure problems are computationally intensive and cannot be solved manually in a reasonable timeframe Develop problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Base scenarios on real-world research challenges or practical mathematical applications Validate solutions using Python and standard mathematical libraries Document problem statements clearly and provide accurate, verified 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, SciPy, or other relevant programming languages is also considered At least 2 years of professional experience in applied mathematics, research, or teaching Background in numerical methods and symbolic computation Ability to design problems reflecting authentic mathematical research processes Understanding of computational complexity theory Excellent written English skills (C1+ level) How to apply The application process includes: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated. Time commitment Tasks typically require around 10–20 hours per week during active project phases. Actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Earnings vary by project scope, complexity, and required skills. Other projects on the platform may offer different compensation based on their requirements.

Toloka AI is looking for a Freelance AI Trainer with a strong background in biology and Python. This remote contract role is open to candidates based in San Antonio, Texas, or elsewhere in the United States. Role overview This position centers on training and improving AI models for applications in biology. The work involves applying both subject matter knowledge and Python skills to help shape technology that supports research and education in the life sciences. What you will do Use expertise in biology and Python to guide the development of AI models Contribute to projects that aim to advance tools for biological research and learning Requirements Strong knowledge of biology Proficiency with Python Interest in AI model training and improvement

Toloka AI is seeking a freelance Biology and Python Specialist to help train and develop AI models focused on biology. This contract role is fully remote and open to candidates based in the United States, including New York. Role overview This position centers on applying biological knowledge and Python skills to support the creation and improvement of AI systems. The work involves contributing to projects that use artificial intelligence in biological contexts. Location This is a remote freelance role. Candidates may work from anywhere in the United States.

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

Mindrift connects experienced professionals with project-based roles in artificial intelligence, focusing on testing and improving AI systems for leading technology companies. This is a freelance, non-permanent position based remotely in New York, United States. Role overview As an Expert in Chemistry & Python, freelance AI trainers at Mindrift design and validate computational chemistry challenges. These projects require contributors to: Create advanced computational chemistry problems that reflect real research workflows Develop scenarios requiring Python programming to solve, using libraries such as numpy, scipy, and chemistry-specific packages Ensure that problems are computationally intensive and not feasible to solve manually within days or weeks Incorporate complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Base tasks on real-world research challenges or practical applications in chemistry Validate solutions with Python, following standard computational chemistry methods Document challenges clearly and provide accurate, verified answers Requirements Degree in Chemistry or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also valued At least 2 years of professional experience in applied chemistry, research, or teaching Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or above) Process The typical process includes: apply, meet qualifications, join a project, complete assigned tasks, and receive payment. Time commitment Project work generally requires about 10–20 hours per week during active phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and pace. Compensation may differ between projects based on their scope, complexity, and required skills. Application note: Please submit your CV in English and include your level of English proficiency.

Please submit your CV in English and specify your English proficiency level. This freelance, project-based role with toloka-ai (via Mindrift) centers on testing, evaluating, and improving AI systems for technology clients. The work is remote and based in Virginia, United States. This position does not offer permanent employment. Role overview Material Scientists in this role design and document engineering problems that mirror real-world workflows. The focus is on creating computational challenges that require Python for calculations and simulations. Problems should involve numerical methods, iterative solutions, and reflect real research questions or practical engineering scenarios. Each task must be validated using Python and established engineering libraries, with clear documentation and verified solutions. Key responsibilities Develop original materials engineering problems based on real applications Create complex challenges requiring Python programming Ensure tasks are computationally intensive and use numerical or iterative methods Design scenarios involving system design, optimization, and analysis Validate solutions with Python and relevant libraries Document problem statements and provide verified solutions Requirements Degree in Material Science or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar languages is a plus Minimum of 2 years’ relevant experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Excellent written English (C1 level or above) Process Apply Pass qualification(s) Join a project Complete tasks Receive compensation Time commitment Projects generally require 10–20 hours per week during active periods. Actual workload may change depending on project needs. Compensation Contributors can earn up to $76 per hour, depending on experience, pace, and project scope. Rates may vary according to complexity and required expertise.

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

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for leading technology companies. This freelance, project-based role does not offer permanent employment. Role overview This freelance AI Trainer position is open to candidates based in New York or elsewhere in the United States. Projects focus on materials science and Python programming, with each assignment presenting new technical challenges. The work is fully remote. What you will do Design materials engineering problems that reflect real-world engineering workflows. Create tasks involving Python programming for calculations and simulations. Develop problems that require computationally intensive approaches, such as numerical methods or iterative solutions. Build scenarios related to system design, optimization, and analysis. Base problems on authentic research challenges or practical engineering applications. Validate solutions in Python, using established engineering libraries. Document problem statements clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus. Minimum 2 years of professional experience (applied, research, or teaching). Strong understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. Project workflow Application → Qualification(s) → Project Engagement → Task Completion → Payment Time commitment Expect to dedicate roughly 10–20 hours per week during active project periods. Workload may vary depending on project needs and is not guaranteed. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution speed. Pay may differ by project, reflecting scope, complexity, and required skills.

We invite you to submit your resume in English, clearly indicating your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top-tier tech firms, focusing on testing, evaluating, and enhancing AI systems. Note: This role is project-based and does not offer permanent employment.Role Overview:Each project presents unique challenges, including but not limited to:Designing original computational physics problems that reflect genuine research workflows;Formulating problems requiring Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Creating problems that are computationally demanding, ensuring they cannot be solved manually within practical timeframes (days or weeks);Developing intricate problems necessitating advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research dilemmas or applicable real-world physics scenarios;Verifying solutions through Python using standard physics simulation libraries;Writing clear and comprehensive problem statements along with verified correct answers.Candidate Profile:This opportunity is ideal for individuals with a physics background and Python expertise, seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable);A minimum of 2 years of relevant experience, including applied, research, or teaching roles;Familiarity with numerical simulation techniques;Capability to design problems that emulate authentic physics research workflows;Creative problem-solving skills across various physics domains;Solid command of written English (C1+ level).Project Workflow:To participate, follow these steps: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Expected Commitment:For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent upon project requirements. Note that this is an estimate and not a guaranteed workload.Compensation:Participants in this project can earn up to $76 per hour, depending on their proficiency and contribution pace. Compensation may vary by project based on its scope, complexity, and the expertise required. Please be aware that other projects on the platform may offer different compensation rates based on their specific needs.

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.

Mindrift connects subject matter experts with project-based roles at major technology companies, focusing on the development and evaluation of AI systems. This freelance opportunity centers on computational chemistry and Python programming, supporting AI projects on a temporary, as-needed basis. Role overview As a Chemistry and Python Specialist, contributors tackle a range of project tasks, such as: Designing computational chemistry problems that mirror real research scenarios Creating problem sets that require Python solutions, often using libraries like NumPy, SciPy, and chemistry-specific packages Ensuring problems are complex enough to require computational approaches rather than manual solutions Developing challenges in areas including physical chemistry, quantum chemistry, and molecular modeling Basing problems on current research topics or practical chemistry applications Using Python to verify answers with standard computational chemistry techniques Documenting each problem and providing clear, correct solutions Requirements Degree in Chemistry or a closely related field Proficiency in Python for numerical and computational tasks; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also considered At least 2 years of professional experience (applied, research, or teaching) Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and techniques Excellent written English skills (C1 level or higher) Project details This is a project-based, non-permanent position. Tasks typically require an estimated 10–20 hours per week during active project phases, though actual hours may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Actual rates depend on the project’s complexity and requirements. Other projects on the Mindrift platform may offer different compensation structures. Application process To be considered, submit a CV in English and indicate your English proficiency level. The process includes qualification review, project matching, task completion, and compensation for completed work.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for mathematics and Python specialists interested in advancing AI systems. Projects focus on assessing, evaluating, and improving AI for leading technology companies. These are not permanent positions; work is assigned per project. Role overview As a Mathematics & Python Specialist - Freelance AI Trainer, you will contribute to projects by creating and validating advanced computational mathematics problems. Tasks may include: Designing original math problems that mirror real research workflows Formulating problems that require Python programming for solutions, often using libraries such as Numpy, SciPy, or Sympy Ensuring problems are computationally intensive, with solutions that could take days or weeks to solve manually Developing problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis Basing problems on real research challenges or practical mathematical applications Validating solutions in Python with standard mathematical libraries Documenting problem statements clearly and providing correct, verified answers Requirements Degree in Mathematics (pure or applied) or a related field Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also relevant At least 2 years of professional experience (including applied, research, or teaching roles) Familiarity with numerical methods and symbolic computation Ability to design problems that reflect authentic mathematical research workflows Understanding of computational complexity theory Excellent written English (C1 level or higher) Application process The process includes: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation. Time commitment During active project phases, tasks typically require 10–20 hours per week. Actual workload may vary depending on project needs and is not guaranteed for the full project duration. Compensation Contributors may earn up to $76 per hour, depending on experience and project contributions. Compensation varies by project scope, complexity, and expertise required.