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Experience Level
Entry Level
Qualifications
The ideal candidate will possess:Proven experience in Mechanical Engineering. Strong proficiency in Python programming. Ability to develop and deliver training materials effectively. Excellent communication and interpersonal skills. Passion for teaching and mentoring others in AI applications.
About the job
Toloka AI seeks a freelance AI Trainer with expertise in both mechanical engineering and Python programming. This contract position is fully remote and available to professionals based in Uruguay.
Responsibilities
Create and deliver training programs centered on AI applications in mechanical engineering.
Develop course materials and practical exercises that demonstrate how Python is used in mechanical systems.
Lead participants through hands-on projects and collaborative problem-solving sessions.
Manage training sessions and provide ongoing support as learners develop new skills.
Requirements
Background in mechanical engineering.
Proficient Python programming abilities.
Talent for explaining technical topics and producing engaging educational resources.
Interest in AI technologies and their use within engineering fields.
Location
This is a remote freelance role for candidates residing in Uruguay.
About Toloka AI
Toloka AI is a pioneering company in the field of artificial intelligence, dedicated to developing innovative solutions that enhance productivity and streamline processes across various industries. Our commitment to excellence and a collaborative work environment fosters creativity and growth for our team members.
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Search for Freelance Research Physicist with Python Expertise
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Please submit your CV in English and specify your English proficiency level. Mindrift connects specialists to project-based AI roles for major technology companies. The work centers on assessing, evaluating, and improving AI systems. This freelance position is strictly project-based and does not offer permanent employment. Role overview The Freelance Research Physicist - AI Training Specialist contributes to a variety of tasks aimed at enhancing AI models in physics. Typical responsibilities include: Designing original optics problems that reflect real research workflows in physics Ensuring each problem requires significant computation and cannot be solved manually within days or weeks Formulating advanced problems in mechanics, electromagnetism, thermodynamics, and quantum mechanics that require higher-level reasoning Basing problems on authentic research challenges or practical scenarios in optics and physics Documenting each problem clearly and providing validated solutions Who this project suits This project fits physicists seeking part-time, project-based work. The preferred background includes: Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of professional experience in applied, research, or teaching roles Experience with numerical simulation methods Ability to design problems that mirror real research processes in physics Creative approach to problem formulation across multiple areas of physics Strong understanding of physics modeling and approximation techniques Excellent written English at C1 level or higher How engagement works Submit your application Complete required qualifications Join a project Carry out assigned tasks Receive compensation Time commitment Project phases typically require about 10–20 hours per week. Actual workload varies depending on project needs and is not guaranteed. Compensation Earn up to $17 per hour, based on expertise and task completion rate. Compensation may differ between projects, reflecting the scope, complexity, and required skills. Other projects on the Mindrift platform may offer different pay rates depending on their requirements. Location This is a remote role for candidates based in Uruguay.
Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced specialists with project-based AI initiatives for leading technology companies. The team focuses on testing, evaluating, and improving AI systems. This is a freelance, project-based role and not a permanent position. Role overview As a Freelance Quantum Research Scientist & AI Trainer, assignments span a variety of projects, each presenting unique challenges. Work centers on crafting and validating computational physics problems that reflect real research practices. Tasks often require advanced Python programming and a strong grasp of physics concepts. Create original computational physics problems modeled on authentic research methods Develop problems that require Python programming to solve, often using libraries such as Numpy, SciPy, and Sympy Design computationally intensive tasks unsolvable by hand within reasonable timeframes Formulate problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base tasks on real-world research scenarios or practical physics applications Validate solutions using Python and established physics simulation libraries Document problem statements clearly and provide verified solutions 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, SciPy, or similar tools is also acceptable At least 2 years of professional experience, including research or teaching Background in numerical simulation techniques Ability to design problems that mirror real-world physics research workflows Creative approach to problem formulation across different physics domains Understanding of physics modeling and approximation methods Strong written English skills (C1 level or above) How to apply Apply Complete qualification(s) Join a project Fulfill assigned tasks Receive compensation Time commitment During active projects, expect to dedicate roughly 10–20 hours per week. Actual hours may vary with project needs. Compensation Earn up to $17 per hour, depending on contribution and pace. Rates vary by project scope, complexity, and required expertise. Other projects on the platform may offer different compensation structures. Location: Remote , Uruguay
Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced specialists with project-based AI roles at leading technology companies. Assignments focus on testing, evaluating, and improving AI systems. All roles are project-based and do not represent permanent employment. Role overview This freelance position calls for a Material Scientist with strong Python skills. Projects involve engineering and programming challenges, with each assignment offering new technical problems and the chance to influence AI tools built for engineering applications. Key responsibilities Create original material engineering problems based on real-world workflows Design tasks that require Python programming for engineering calculations and simulations Ensure problems include computationally intensive tasks, numerical methods, or iterative solutions Formulate questions centered on system design, optimization, and analysis Base assignments on real research challenges or practical engineering scenarios Validate solutions using Python and standard engineering libraries Document problem statements and provide verified answers Requirements Degree in Material Science or a related field Proficient in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued Minimum of 2 years' professional experience in applied, research, or teaching roles Strong understanding of practical engineering constraints and real-world approximations Excellent written English (C1 level or higher) Project commitment Expect to dedicate roughly 10–20 hours per week during active project phases. Actual workload may change depending on project needs and timing. Compensation Earn up to $17 per hour, based on experience and contribution speed. Compensation for other projects on the platform may vary depending on complexity and requirements. How to apply Submit your CV in English and indicate your English proficiency level Complete qualification steps Join a project when selected Finish assigned tasks Receive payment Location: Remote, Uruguay
Please submit your CV in English and include your English proficiency level. Mindrift connects professionals with project-based AI work for leading technology companies. The focus is on testing, evaluating, and improving AI systems. This is a freelance, project-based role and not a permanent position. Role overview This freelance position is for optical engineers with strong Python skills who are interested in flexible, part-time work. Projects center on creating and validating computational physics problems that reflect real research and practical scenarios. What you will do Create original computational physics problems based on actual research workflows. Develop problems that require Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy. Design computationally intensive challenges that cannot be solved manually in a short timeframe. Construct problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on real research or practical physics applications. Validate solutions using Python and established physics simulation libraries. Document problem statements clearly and provide accurate 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, domain-specific libraries, Stata, or other programming languages is valued. At least 2 years of professional experience in applied work, research, or teaching. Background in numerical simulation techniques. Ability to design problems that mirror authentic research workflows in physics. Creative problem-solving skills across multiple areas of physics. Understanding of physics modeling and approximation methods. Excellent written English skills at C1 level or above. Process Apply, pass qualifications, join a project, complete tasks, and receive compensation. Time commitment Active projects typically require 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Earn up to $17 per hour, depending on expertise and task completion rate. Pay may vary by project scope, complexity, and required skills. Other projects on the platform may offer different rates. Location This is a remote position based in Uruguay.
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Please submit your CV in English and specify your English proficiency level. Mindrift connects specialists with project-based AI work for technology companies. Assignments focus on testing, evaluating, and improving AI systems. This freelance, project-based role does not constitute permanent employment. Role overview This freelance AI Trainer position is open to candidates based in Uruguay. Work is fully remote and centers on computational statistics and Python programming. Projects involve real-world mathematical research and problem solving. What you will do Create original computational statistics problems that reflect authentic mathematical research workflows. Design challenges requiring Python programming, using libraries such as NumPy, SciPy, and SymPy. Develop computationally intensive problems that cannot be solved manually within practical timeframes. Formulate problems involving complex reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis. Base problem sets on real research obstacles or practical mathematical applications. Validate solutions using Python and standard mathematical libraries. Document problem statements clearly and provide verified, correct answers. Requirements Degree in Statistics or a related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar libraries is valued. At least 2 years of professional experience in applied, research, or teaching roles. Strong written English skills (C1 level or higher). Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive payment Time commitment During active project phases, tasks usually require 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside of active periods. Compensation Earn up to $17 per hour, depending on contribution level and pace. Rates may vary by project based on complexity, scope, and required expertise. Other projects on the platform may offer different compensation levels based on their requirements.
Role overview Toloka AI seeks a freelance AI Trainer with expertise in both mechanical engineering and Python programming. This contract position is fully remote and available to professionals based in Uruguay. Responsibilities Create and deliver training programs centered on AI applications in mechanical engineering. Develop course materials and practical exercises that demonstrate how Python is used in mechanical systems. Lead participants through hands-on projects and collaborative problem-solving sessions. Manage training sessions and provide ongoing support as learners develop new skills. Requirements Background in mechanical engineering. Proficient Python programming abilities. Talent for explaining technical topics and producing engaging educational resources. Interest in AI technologies and their use within engineering fields. Location This is a remote freelance role for candidates residing in Uruguay.
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Apr 1, 2026
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