Optical Engineer Specializing in Python - Freelance AI Trainer

Please submit your CV in English and indicate your English proficiency level. This freelance, project-based role with Mindrift connects optical engineers in Wisconsin, United States, to remote assignments focused on advancing AI systems. Each project draws on deep knowledge of physics and Python programming, with tasks shaped by real-world research and computational challenges. What you will do Create original computational physics problems that reflect real research workflows. Design scenarios requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop complex, computationally intensive problems that cannot be solved manually in a short timeframe. Write problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base assignments on real research questions or practical physics applications. Verify solutions in Python with established simulation libraries. Document problem statements clearly and provide accurate, validated answers. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely 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 relevant experience in applied, research, or teaching roles. Background in numerical simulation methods. Ability to design problems that mirror research processes in physics. Creative approach to problem design across multiple physics domains. Familiarity with modeling and approximation techniques in physics. Strong written English skills at C1 level or higher. How to get started Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Time commitment Plan for 10-20 hours per week during active project phases. Actual hours may shift depending on project needs. Compensation Earnings can reach up to $76 per hour, depending on experience and contribution speed. Pay rates vary by project scope, complexity, and expertise required. Other projects on the platform may offer different compensation based on their demands.

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

Please submit your CV in English and include your proficiency level. Mindrift offers project-based contract work for skilled professionals in AI, connecting contributors with assignments for major technology companies. The focus is on testing, evaluating, and improving AI systems. This is not a permanent position, but rather a flexible contract role. Role overview This freelance position is for an Optical Engineer with expertise in Python. All work is remote and project-based. Assignments vary in scope and complexity, often requiring contributors to: Develop original computational physics problems that reflect real research workflows Create problems requiring Python solutions, using libraries such as Numpy, SciPy, and Sympy Design tasks that may require extended computational time to solve Build problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base assignments on actual research questions or practical physics applications Validate answers with Python and established simulation tools Document problem statements clearly and provide accurate, verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar technologies is valued Minimum of 2 years of professional experience in applied research or teaching Understanding of numerical simulation methods Ability to design problems that mirror authentic research workflows Creative problem-solving skills across multiple areas of physics Knowledge of physics modeling and approximation techniques Strong written English at C1 level or higher Project process Apply Complete qualifications Join a project Fulfill assigned tasks Receive payment Time commitment Active project phases typically require 10–20 hours per week. Workload may vary depending on project needs and is not guaranteed outside of active assignments. Compensation Contributors may earn up to $76 per hour, depending on skill level and pace. Rates vary by project complexity and required expertise.

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

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

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects skilled specialists with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. All participation is project-based and does not create permanent employment. Role overview This freelance AI Trainer role centers on designing and validating computational physics problems that require Python programming. Each project brings a unique set of tasks, often inspired by real research workflows or practical physics applications. Contributors may: Design computational physics problems that reflect authentic research scenarios Create challenges solvable only through Python code, often using libraries like Numpy, SciPy, or Sympy Ensure problems are computationally intensive and not easily solved by hand Develop questions requiring advanced reasoning in areas such as mechanics, electromagnetism, thermodynamics, or quantum mechanics Validate solutions in Python, sometimes using established physics simulation libraries Document problem statements clearly and provide confirmed correct answers Requirements Degree in Physics (theoretical, experimental, or computational) or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years in applied research or teaching roles Background in numerical simulation methods Ability to design problems that mirror real-world physics research Creative problem-solving across multiple physics domains Strong understanding of physics modeling and approximation techniques Excellent written English skills at C1 level or above How projects work Apply Pass qualifications Join a project Complete tasks Receive payment Time commitment During active project phases, expect about 10–20 hours per week, depending on project needs. Workload may fluctuate and is not guaranteed outside these periods. Compensation Earn up to $76 per hour, depending on expertise and contribution speed. Pay varies by project based on complexity and required skills. Other Mindrift projects may offer different rates.

Please submit your CV in English and indicate your English proficiency level. Mindrift offers project-based contract work for specialists interested in AI projects with leading technology companies. The primary focus is on testing, evaluating, and improving AI systems. This contract role is not a permanent employment position. Role overview The Freelance AI Trainer specializing in Statistics and Python will design original computational statistics problems that mirror real-world mathematical research. The work involves creating challenging tasks that require advanced Python programming, often using libraries like Numpy, SciPy, and Sympy. Problems should be computationally intensive, sometimes requiring days or weeks to solve, and should reflect authentic research scenarios or practical mathematical applications. Key responsibilities Create original statistics problems grounded in real research workflows. Develop problem sets that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are complex and computationally demanding. Incorporate advanced topics such as number theory, combinatorics, graph theory, and numerical analysis. Validate solutions with Python and established mathematical libraries. Document clear problem statements and provide verified solutions. Requirements Degree in Statistics or a related field. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued. At least 2 years of professional experience, which may include applied research or teaching. Strong written English skills at C1 level or above. Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are considered a plus. How to apply Apply Pass qualifications Join a project Complete tasks Receive compensation Time commitment During active project phases, expect to dedicate about 10–20 hours per week. Workload may fluctuate based on project needs. Compensation Contributors can earn up to $73 per hour, depending on expertise and speed. Rates vary by project, considering scope, complexity, and required skills. Other projects on the platform may offer different pay structures. Location This is a remote, project-based contract. Candidates based in San Antonio, Texas, United States are welcome to apply.

This freelance, project-based role with Mindrift is open to candidates based in Wisconsin and offers remote work. Mindrift connects experts in statistics and Python with technology companies seeking to improve AI systems. Projects focus on designing, evaluating, and validating computational problems grounded in real-world mathematical research. Role overview Freelance AI trainers will create and validate complex computational statistics problems. Assignments are modeled on authentic research workflows and require advanced reasoning in areas such as number theory, combinatorics, graph theory, and numerical analysis. Problems are computationally demanding and may take days or weeks to solve. Contributors will use Python, especially libraries like Numpy, SciPy, and Sympy, to both develop and verify solutions. Clear documentation of problem statements and solutions is essential. Requirements Degree in Statistics or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus At least 2 years of relevant experience (including research, teaching, or applied work) Strong written English skills (C1 level or above) Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or practical projects are valued Project commitment Expect to work 10–20 hours per week during active project periods. Actual hours may fluctuate based on project needs. Compensation Rates can reach up to $73 per hour, depending on experience, contribution level, and project complexity. Compensation may differ across projects based on their specific requirements. How to apply Submit a CV in English and indicate your English proficiency level. The application process includes: Apply Complete qualifications Join a project Fulfill tasks Receive compensation

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.

Toloka AI seeks a freelance Civil Engineer & Python Specialist to help train AI applications. This remote contract role is open to candidates based in New York, United States. The position brings together civil engineering expertise with practical Python programming to support Toloka AI’s projects. Key responsibilities Use civil engineering knowledge and Python skills to develop and improve AI solutions. Create educational materials that assist with AI training and development. Lead or join training sessions on engineering and programming topics. Collaborate with the Toloka AI team to enhance AI model performance. Requirements Strong foundation in civil engineering concepts and practices. Proficient Python programming skills. Experience with AI application development or training is a plus. Clear communication skills, both in writing and in training settings. Ability to work independently as a freelancer and coordinate with a distributed team.

Please submit your CV in English and 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.

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

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.

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

Please submit your CV in English and specify your English proficiency level. This freelance, project-based role with Mindrift connects mechanical engineering professionals skilled in Python to contribute to AI projects for leading technology companies. Work is remote, with a focus on assignments for clients in San Antonio, Texas, United States. What you will do Design computational engineering problems that reflect real-world scenarios and processes Create challenges that involve Python programming for engineering calculations and simulations Develop tasks that require numerical methods or iterative approaches, ensuring computational intensity Build scenarios focused on system design, optimization, and analytical problem-solving Base assignments on actual research challenges or practical engineering applications Validate solutions using Python and standard engineering libraries Document problem statements and provide verified solutions Requirements Degree in Mechanical Engineering or a related discipline Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific languages is a plus Minimum of 2 years of relevant experience (applied, research, or teaching) Solid understanding of practical engineering constraints and approximations Excellent written English skills (C1 level or above) Professional certifications (such as CMME, SAS, CAP) and experience with international or applied projects are advantageous Project workflow Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Time commitment Active project phases typically require an estimated 10–20 hours per week. Actual workload may vary depending on project needs. Compensation Earn up to $69 per hour, with rates based on expertise and pace. Compensation varies by project, reflecting scope, complexity, and required skills.

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.