Freelance Physics Expert with Python Skills - AI Training

Please submit your CV in English, including your English proficiency level.Mindrift bridges specialists with project-based AI roles for top technology firms, focusing on the assessment, enhancement, and optimization of AI systems. This is a project-based opportunity, not a permanent position.Role Overview:Each project presents distinct challenges, and contributors may be involved in tasks such as:Creating precise physics problems that reflect real-world applications;Assessing AI solutions for accuracy, foundational assumptions, and limitations;Verifying computations or simulations utilizing Python libraries (NumPy, Pandas, SciPy);Enhancing AI reasoning to conform to industry-standard logical frameworks;Utilizing structured evaluation criteria for complex, multi-step problems.Candidate Profile:This role is ideal for physicists with Python experience who are open to part-time, temporary projects. Preferred qualifications include:A degree in Physics or a related discipline, such as Engineering Physics, Thermodynamics, Statistical Mechanics, Optics, or Acoustics;A minimum of 3 years of relevant professional experience;Advanced written English skills (C1/C2 level);Proficiency in Python for numerical validation;A reliable internet connection.Professional credentials (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are advantageous.How the Process Works:Apply → Complete qualifications → Join a project → Fulfill tasks → Receive compensationProject Time Commitment:For this role, active project tasks are anticipated to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload during active phases.Compensation:Paid contributions, with rates up to $55/hour*Fixed project rates or individual compensation may apply based on the project;Some projects may offer additional incentive payments.*Note: Compensation varies according to expertise, skills assessment, location, project requirements, and other factors. Higher rates may be available for highly specialized experts. Initial onboarding or non-core project phases may have lower rates. Payment specifics will be detailed per project.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects professionals with project-based assignments aimed at improving and evaluating AI systems for leading technology companies. These roles are temporary and do not lead to permanent employment. Role overview This freelance, remote position is open to candidates located in Iowa, United States. As an AI Trainer with a focus on physics and Python, work is flexible and part-time, with hours depending on project needs. Assignments vary across different projects. What you will do Design computational physics problems that reflect real research workflows. Create challenging tasks requiring Python programming, using libraries such as Numpy, SciPy, and Sympy. Ensure problems are computationally intensive and not solvable by hand in a reasonable timeframe. Develop problems involving advanced reasoning in areas like mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problem sets on real research challenges or practical physics applications. Verify solutions using Python and standard physics simulation tools. Clearly document problem statements and provide verified 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, domain-specific libraries, or Stata is a plus. Minimum 2 years of professional experience in applied physics, research, or teaching. Background in numerical simulation techniques. Ability to design problems that mirror real-world physics research. Creative approach to problem design across different physics fields. Familiarity with physics modeling and approximation methods. Strong written English skills at C1 level or higher. Project time commitment Estimated workload is 10–20 hours per week, depending on project requirements. This is an estimate and not a guaranteed number of hours. Compensation Contributors may earn up to $76 per hour, depending on expertise and contribution speed. Actual rates vary based on project scope, complexity, and required skills. Other projects on the platform may offer different rates. How to apply Submit your application. Complete qualifications. Join a project. Finish assigned tasks. Receive payment.

To apply, please submit your CV in English and indicate your English proficiency level. About the Role toloka-ai, in partnership with Mindrift, connects skilled professionals to project-based AI work for leading technology companies. This position supports the testing, evaluation, and improvement of AI systems. Please note: this is a project-based, freelance role and not a permanent position. What You Will Do Create original optics problems modeled on real-world physics research workflows Design computationally challenging problems that require more than manual calculation (days or weeks of work) Develop problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Base problems on actual research challenges or practical applications in optics and physics Document problem statements clearly and provide verified solutions Who We're Looking For Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of professional experience in applied physics, research, or teaching Experience with numerical simulation methods Ability to design problems that mirror real physics research Creative problem-solving skills across multiple physics areas Understanding of physics modeling and approximation techniques Written English proficiency at C1 level or above How Projects Work Apply Meet qualifications Join a project Complete assigned tasks Receive payment Time Commitment Active project phases typically require about 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Earnings can reach up to $76 per hour, depending on expertise and task completion rate. Pay may differ between projects based on their 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.

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 specify your English proficiency. Mindrift connects professionals with project-based AI work for leading tech companies. The platform focuses on testing, evaluating, and improving AI systems. This is a contract position, not a permanent role. Role overview This freelance, remote position centers on creating and validating advanced computational physics problems to help train AI systems. Projects are open to candidates located in New York, United States. What you will do Design original computational physics problems that mirror real research workflows. Create problems that require Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy. Ensure problems demand computational methods rather than manual calculation. Develop tasks involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on real-world research challenges or practical physics applications. Verify solutions using Python and standard physics simulation tools. Document each problem clearly and provide accurate, verified answers. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued. At least 2 years of professional experience (applied, research, or teaching). Background in numerical simulation methods. Ability to design problems that reflect authentic physics research. Creative approach to problem design across multiple physics disciplines. Knowledge of physics modeling and approximation techniques. Excellent written English (C1 level or higher). Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Project commitment Tasks usually require 10–20 hours per week during active project phases. Actual workload may change depending on project needs. Compensation Earn up to $76 per hour, depending on expertise and task completion rate. Pay varies by project, based on complexity and required skills. Other Mindrift projects may offer different rates according to their requirements.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects subject matter experts with project-based AI work for major technology companies. Projects center on assessing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance contract focuses on designing and verifying computational physics problems for AI training. The work is remote and open to candidates based in Wisconsin, United States. What you will do Create original computational physics problems that reflect real research workflows. Develop challenges that require Python programming to solve, often using libraries such as Numpy, SciPy, and Sympy. Ensure each problem requires significant computation and cannot be solved by hand within a reasonable time. Design scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base challenges on authentic research questions or practical situations in physics. Verify solutions using Python and standard physics simulation tools. Document problems clearly and provide thoroughly checked solutions. Requirements Degree in Physics (Theoretical, Experimental, or Computational) or a related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. At least 2 years of relevant experience in research, application, or teaching. Background in numerical simulation methods. Ability to design problems reflecting real research workflows in physics. Creative thinking across multiple areas of physics. Solid understanding of modeling and approximation techniques in physics. Excellent written English (C1 level or higher). How the process works Apply Complete required qualifications Join a project Finish assigned tasks Receive payment Project time commitment Active projects typically require about 10–20 hours per week. Actual workload depends on project needs and may vary. Compensation Contributors may earn up to $76 per hour, depending on expertise and pace. Actual rates and workload vary based on project scope, complexity, and required skills.

Please submit your CV in English, including your proficiency level. Mindrift offers project-based opportunities for professionals to contribute to AI system development. The company works with major technology partners to test, evaluate, and improve AI models. This is not a permanent role, but rather project-driven freelance work. Role overview The Freelance Mechanical Engineer & Python Specialist role centers on developing and validating computational engineering problems for AI training. Each project presents unique challenges and may include tasks such as: Designing engineering problems that mirror real-world workflows Creating scenarios requiring Python programming for calculations and simulations Incorporating computationally intensive elements, including numerical methods and iterative solutions Focusing on system design, optimization, and analysis challenges Basing problems on actual research questions or practical engineering situations Verifying solutions using Python and standard engineering libraries Documenting problem statements clearly and supplying accurate, checked solutions Requirements Degree in Mechanical Engineering or a related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued At least 2 years of experience in applied engineering, research, or education Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Certifications such as CMME, SAS Certifications, or CAP, and experience with international or applied projects are considered a plus Application process Submit your application Complete qualification assessments Join a project Work on assigned tasks Receive payment Workload and commitment Active project periods typically require 10–20 hours per week. Actual hours depend on project demands and are not guaranteed outside of active assignments. Compensation Rates can reach up to $69 per hour, depending on contribution and pace. Compensation varies by project scope, complexity, and expertise required. Other projects may offer different rates. Location This is a remote role based in Virginia, United States.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based assignments for mechanical engineers with strong Python skills. This freelance role supports AI training and system improvement for technology clients. Assignments are remote, based in Wisconsin, United States, and are not permanent positions. What you will do Design computational engineering problems that reflect authentic workflows Create challenges requiring Python for calculations, simulations, or numerical analysis Ensure problems involve significant computational effort, such as iterative solutions or numerical methods Develop engineering scenarios related to system design, optimization, or analysis Base problems on real research questions or practical engineering situations Validate solutions in Python using standard engineering libraries Document problem statements clearly and provide verified solutions Requirements Degree in Mechanical Engineering or a related field Proficiency in Python for numerical validation; familiarity with tools like MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar At least 2 years of professional experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Strong written English skills (C1+ level) Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are a plus How projects work Apply Pass qualifications Join a project Complete tasks Receive payment Time commitment Project phases usually require 10–20 hours per week. Actual workload depends on project needs and may vary; hours are not guaranteed. Compensation Earnings can reach up to $69 per hour, depending on experience, project complexity, and pace. Rates may vary by assignment.

Please submit your CV in English and indicate your level of English proficiency. toloka-ai, working through Mindrift, offers project-based freelance work for research physicists with Python skills. This role centers on testing, evaluating, and improving AI systems by creating and validating computational physics problems. Projects are temporary and do not constitute permanent employment. Key Responsibilities Develop original computational physics problems that reflect authentic research workflows. Create assignments requiring Python programming, often using libraries such as Numpy, SciPy, or Sympy. Design problems complex enough to require computational solutions rather than manual calculation. Build scenarios involving advanced reasoning in fields like mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw on real research issues or practical applications in physics for problem design. Validate solutions using Python and standard physics simulation tools. Document each problem statement clearly and provide verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued. Minimum of 2 years of relevant experience in applied research or teaching. Background in numerical simulation techniques. Ability to design problems that mirror real-world research workflows. Creative problem-solving across multiple physics disciplines. Familiarity with physics modeling and approximation methods. Excellent written English at C1 level or above. Application Process Submit an application for the role. Complete the required qualifications. Join a project if selected. Work on assigned tasks. Receive compensation for completed work. Time Commitment During active project periods, tasks generally require 10–20 hours per week. Actual workload may vary with project demand and is not guaranteed outside active phases. Compensation Contributors can earn up to $76 per hour, depending on experience and pace. Compensation varies by project based on scope, complexity, and required expertise. Location This is a remote, project-based position. Candidates based in San Antonio, Texas, United States are encouraged to apply.

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. Mindrift connects experienced professionals with project-based assignments to help technology companies test, evaluate, and improve AI systems. These roles are not permanent positions but offer flexible, freelance work. Role overview This freelance opportunity is designed for electrical engineers with strong Python skills who are interested in part-time, project-based work. The main focus is on designing and validating computational engineering challenges that mirror real-world engineering scenarios. Create engineering problems that simulate authentic processes and require Python programming for calculations and simulations Develop computationally intensive challenges involving numerical or iterative methods Focus on system design, optimization, or analysis in the problems you create Base each challenge on real research or practical engineering applications Validate solutions using Python and established engineering libraries Document each problem statement clearly and provide verified solutions 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 a plus Minimum of 2 years of professional experience in applied work, research, or teaching Understanding of practical engineering constraints and approximations Strong written English skills at C1 level or higher Professional certifications such as CMME, SAS Certifications, CAP, and experience with international or applied projects are advantageous Project workflow Submit your application Complete qualification steps Join a project Work on assigned tasks Receive payment Time commitment Most project phases require an estimated 10-20 hours per week. Actual workload may vary depending on project needs and timing. Compensation Earnings can reach up to $69 per hour, depending on expertise and project complexity. Rates may differ by assignment based on scope and required skills. Location This is a remote contract role based in San Antonio, Texas, United States.

Submit your CV in English and include your English proficiency level in the application. This freelance, project-based role with Mindrift connects electrical engineers and Python specialists to AI training projects for leading technology companies. Assignments focus on evaluating, testing, and improving AI systems through the creation and validation of challenging engineering problems. Role overview Freelance Electrical Engineers & Python Specialists work on projects that require designing computational problems reflecting real-world engineering workflows. Tasks often include: Developing engineering problems that simulate practical scenarios Creating problems that involve Python programming for calculations and simulations Ensuring problems use numerical methods or iterative solutions and are computationally demanding Designing scenarios related to system design, optimization, or analysis Basing tasks on actual research challenges or applied engineering cases Validating solutions in Python using standard engineering libraries Documenting clear problem statements and verified solutions Requirements Degree in Electrical Engineering or a closely related field Strong Python skills for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is valued Minimum of 2 years of experience in applied engineering, research, or teaching Understanding of practical engineering constraints and approximations Excellent written English (C1 level or higher) Professional certifications (such as CMME, SAS Certifications, CAP) and international or applied project experience are a plus Project commitment During active project periods, the expected commitment is approximately 10–20 hours per week. Actual hours may shift based on project needs. Compensation Contributors can earn up to $69 per hour, depending on expertise and project pace. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different rates. Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Location: Remote , New York, United States

Please submit your CV in English and specify your English proficiency level. This freelance, project-based contract with toloka-ai (via Mindrift) offers physicists the chance to shape and evaluate AI systems for leading technology companies. The work centers on testing, improving, and designing computational challenges that reflect real research in physics. This is not a permanent employment offer. Key Responsibilities Design computational physics problems that align with real research workflows. Create programming challenges requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop problems that are computationally intensive and cannot be solved manually within a reasonable time. Craft advanced scenarios in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base scenarios on genuine research issues or practical physics applications. Validate solutions using Python and standard simulation tools. Document each problem clearly and provide verified answers. 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, or SciPy is a plus. At least 2 years of applied research or teaching experience. Background in numerical simulation methods. Ability to design problems that mirror authentic research workflows in physics. Creative problem-solving skills across diverse physics topics. Knowledge of modeling and approximation techniques. Strong written English skills (C1 level or higher). Project Process Steps include: Application, Qualification Process, Project Participation, Task Completion, and Payment. Time Commitment Project tasks typically require 10–20 hours per week during active phases. Actual workload may vary with project needs. Compensation Contributors can earn up to $76 per hour, depending on expertise and pace. Compensation varies by project scope and complexity. Other projects on the platform may offer different earning levels based on requirements.

Toloka AI is hiring a Freelance Civil Engineer & Python Specialist for a remote contract role based in Pennsylvania. This position blends civil engineering expertise with Python programming to advance AI training workflows and system performance. Responsibilities Apply civil engineering knowledge to guide and enhance AI training processes. Create Python scripts or tools that streamline data handling and support model training. Work closely with Toloka AI teams to address technical challenges in AI system development. Location This is a remote position open to candidates in Pennsylvania, United States.

Are you a passionate physics expert ready to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to advanced tools for scientific exploration, your expertise is crucial. With high-quality training data, we aim to make world-class education accessible, stay aligned with forefront research, and enhance lab operations for scientists globally. Your role is pivotal in powering the next generation of AI.We seek physics specialists who excel in classical mechanics, electromagnetism, quantum physics, statistical mechanics, relativity, thermodynamics, condensed matter, particle physics, nuclear physics, astrophysics, and computational physics. You will engage with advanced language models on intricate topics such as Schrödinger equations, Maxwell’s laws, quantum field theory, thermodynamic cycles, Lagrangian mechanics, cosmological models, and numerical simulations—documenting all failure modes to strengthen model reasoning.On a typical day, you will interact with the model on problem-solving strategies and theoretical physics queries, ensuring factual accuracy and logical integrity, capturing reproducible error traces, and contributing to improvements in our prompt engineering and evaluation metrics.A master’s degree or PhD in physics or a closely related field is preferred; evidence of peer-reviewed publications, laboratory or theoretical research, or hands-on computational modeling projects will enhance your application. Effective, metacognitive communication—demonstrating your thought process—is essential.Are you ready to transform your physics knowledge into the foundational knowledge for tomorrow's AI? Apply today and begin training the model that will educate the world.

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.

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.

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 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.