Freelance Mechanical Engineer & Python Specialist - AI Training

We kindly ask you to submit your CV in English and specify your English proficiency level.At Mindrift, we specialize in connecting skilled professionals with project-based AI opportunities from leading technology firms, focusing on the assessment, testing, and enhancement of AI systems. Please note that participation is project-based and does not constitute …

We invite you to submit your CV in English, indicating your proficiency level.At Mindrift, we bridge the gap between skilled professionals and innovative AI projects for top-tier technology firms, concentrating on the assessment, testing, and enhancement of AI systems. Note that this is a project-based opportunity rather than a permanent position.Opportunity OverviewEach project will present distinctive challenges, and contributors may:Design original computational engineering tasks that replicate authentic engineering workflows;Create programming challenges that utilize Python for engineering calculations and simulations;Ensure tasks are computationally demanding, requiring numerical methods or iterative solutions;Develop problems related to system design, optimization, and analysis;Base challenges on genuine research issues or practical applications from the engineering domain;Validate solutions using Python with established engineering libraries;Provide clear documentation of problem statements along with verified correct answers.Ideal Candidate ProfileThis position is well-suited for engineers with Python expertise seeking part-time, non-permanent project engagements. Preferred qualifications include:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project demands. This estimate does not guarantee a specific workload and applies only while the project is active.CompensationContributors may earn up to $69 per hour, depending on their skill level and contribution pace. Compensation varies based on project scope, complexity, and required expertise. Other projects on the platform may feature different earning opportunities depending on their specific requirements.

We kindly ask applicants to submit their CV in English, including their proficiency level.Mindrift serves as a bridge connecting skilled professionals with project-based AI opportunities in collaboration with leading tech firms, primarily focused on testing, assessing, and enhancing AI systems. Please note that participation is limited to project-based engagements, rather than permanent positions.Overview of the RoleEach project entails distinct responsibilities, and contributors can expect to:Craft innovative computational engineering problems that mimic authentic engineering workflows;Develop challenges that necessitate Python programming for engineering calculations and simulations;Ensure the problems are computationally demanding and employ numerical methods or iterative solutions;Formulate issues related to system design, optimization, and performance analysis;Base challenges on real-world research problems or applicable engineering scenarios;Validate solutions using Python along with conventional engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis opportunity is particularly well-suited for engineers with Python expertise who are open to part-time, temporary projects. Ideal candidates will possess:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is acceptable;A minimum of 2 years of relevant experience: this may include applied work, research, or teaching;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are considered advantageous.Process OverviewApplication → Qualifications Assessment → Project Engagement → Task Completion → CompensationProject CommitmentTasks are projected to require approximately 10–20 hours per week during active phases, contingent on project needs. This estimate is not a guaranteed workload and applies only while the project is in progress.Compensation DetailsContributors may earn up to $69 per hour, depending on their skill level and contribution pace. Please note that compensation can vary across projects based on their scope, complexity, and required expertise. Other projects on the platform may have different earning potentials based on specific requirements.

Please submit your CV in English and specify your English proficiency level.Mindrift acts as a bridge connecting skilled professionals with project-based AI opportunities from top technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.Role Overview:This role encompasses a variety of unique tasks per project, including:Crafting original computational engineering challenges that mirror actual engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally demanding and involve numerical methods or iterative solutions;Designing problems related to system design, optimization, and analysis;Creating scenarios inspired by genuine research challenges or practical applications from the engineering field;Verifying solutions using Python and standard engineering libraries;Clearly documenting problem statements and providing accurate verified solutions.Ideal Candidate:This opportunity is suited for engineers with Python expertise who are open to part-time, non-permanent projects. Candidates should have:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language is acceptable;At least 2 years of professional experience, encompassing applied, research, or teaching roles;A strong understanding of practical engineering constraints and approximations;Excellent written English proficiency (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process:Application → Qualification → Project Engagement → Task Completion → CompensationProject Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $69 per hour, varying based on their experience and contribution pace. Compensation levels may differ across projects based on complexity and required expertise.

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

Please submit your CV in English and indicate your level of English proficiency. At Mindrift, we bridge the gap between talented professionals and innovative AI projects for top-tier technology companies. Our focus is on enhancing, testing, and evaluating cutting-edge AI systems. Note: Participation is project-based and does not constitute permanent employment.Project OverviewAs part of our collaborative team, you will engage in a variety of unique projects which may include:Designing original computational physics challenges that emulate authentic physics research workflows;Creating programming problems that necessitate Python solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring problems are computationally demanding and cannot be resolved manually within reasonable timeframes;Developing intricate problems requiring advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research obstacles or practical applications within the field of physics;Validating solutions with Python and established physics simulation libraries;Clearly documenting problem statements and providing verified correct answers.Candidate ProfileThis opportunity is ideal for optical engineers experienced in Python who are open to part-time, project-based engagements. The successful candidate will ideally possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also considered valuable;A minimum of 2 years of relevant professional experience, including applied research or teaching;Experience in numerical simulation techniques;The ability to design problems that accurately reflect real-world physics research workflows;Creative problem-solving skills across various physics domains;Knowledge of physics modeling and approximation methods;Strong command of written English (C1 or higher).Application ProcessSteps: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Project CommitmentActive project phases are estimated to require approximately 10–20 hours of work per week, based on project demands. This is an estimation, not a guaranteed workload.Compensation DetailsContributors can earn up to $76 per hour, depending on their expertise and contribution pace. Please note that compensation varies across different projects in terms of scope, complexity, and required expertise.

We kindly request that you submit your CV in English, along with your English proficiency level.At Mindrift, we specialize in connecting talented professionals with project-based AI roles for top-tier tech companies, with a focus on evaluating, testing, and enhancing AI systems. This is a project-based role, not a permanent position.Role OverviewEach project presents its own unique challenges, where contributors may be tasked with:Creating innovative computational physics problems that reflect authentic research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that the problems are computationally intensive and cannot be resolved manually within practical timeframes;Designing tasks that require complex reasoning within mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or applicable scenarios from physics;Validating solutions through Python using established physics simulation libraries;Clearly documenting problem statements and providing verified correct solutions.Ideal Candidate ProfileThis opportunity is perfect for optical engineers proficient in Python who are interested in part-time, non-permanent projects. The ideal candidate will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages is also acceptable;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;The ability to craft problems that emulate real physics research processes;Creative problem-solving skills across various physics domains;Knowledge of modeling techniques and physics approximations;Strong written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and get compensated.Project CommitmentFor this role, the estimated workload during active project phases is approximately 10–20 hours per week, contingent upon project needs. This is an estimate, and not a guaranteed workload during the project's active period.Compensation DetailsContributors can earn up to $76 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on their scope, complexity, and required skill set.

At Mechanize, we specialize in developing reinforcement learning (RL) environments that empower AI models to execute real-world tasks efficiently. Our mission is to drive the complete automation of the economy, providing innovative solutions to leading AI laboratories. Discover more about our work at mechanize.work.As a Senior Software Engineer at Mechanize, you will contribute to the creation of RL environments that are pivotal in the field of AI model training. Ideal candidates will have 2-5 years of software engineering experience with proficiency in Python programming. Previous experience in machine learning or AI is not a prerequisite.For insights on our interview process, visit: Interview Process at Mechanize.

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.

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

Please submit your CV in English and indicate your level of English proficiency. Toloka AI, working with Mindrift, offers freelance, project-based assignments focused on advancing AI systems for technology clients. This contract role is temporary and centers on evaluating and improving AI through real-world engineering challenges. The position is remote and based in San Antonio, Texas, United States. Role overview This freelance assignment involves designing and validating material science problems that reflect actual engineering workflows. Assignments require both subject matter expertise and strong Python programming skills to create, test, and document computationally intensive tasks. What you will do Develop material engineering challenges based on authentic research questions or practical scenarios. Create problems that require Python programming for calculations, simulations, and numerical analysis. Ensure tasks involve computational complexity, using numerical methods or iterative solutions where appropriate. Design assignments related to system design, optimization, and analysis. Validate all solutions using Python and standard engineering libraries. Document each problem clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus. Minimum of 2 years of professional experience in applied, research, or teaching roles. Solid understanding of engineering constraints and practical approximations. Excellent written English (C1 level or above). Project workflow Application Qualification Assessment Project Engagement Task Completion Compensation Time commitment During active project phases, expect to dedicate approximately 10–20 hours per week. Actual workload may fluctuate based on project requirements. Compensation Contributors may earn up to $76 per hour, depending on project complexity, contribution level, and pace. Compensation varies by assignment and expertise required. Other projects on the platform may offer different rates.

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

Join Mindrift as a Freelance Python Data Scraping Engineer!We are seeking highly skilled Data Scraping Engineers to contribute to our Tendem project, which integrates advanced AI and human workflows for specialized data scraping tasks.In this unique role, referred to as an AI Pilot at Mindrift, you will work alongside Tendem Agents who manage repetitive tasks, while you apply your critical thinking, domain expertise, and quality control skills to ensure the delivery of precise and actionable data.This part-time, remote position is perfect for technical experts experienced in web scraping, data extraction, and processing.About MindriftThe Mindrift platform connects skilled professionals with cutting-edge AI projects from leading tech innovators. Our goal is to harness the power of Generative AI by leveraging real-world expertise from around the world.Your RoleAs a Python Data Scraping Engineer, you will manage the data scraping process, ensuring technical accuracy in web extraction and processing. You will utilize tools such as Apify and OpenRouter, as well as your own innovative methods to achieve optimal results.Core ResponsibilitiesOversee end-to-end data extraction workflows for complex websites, guaranteeing complete coverage, precision, and reliable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) in conjunction with custom solutions to enhance data collection, validation, and task execution while adhering to specified requirements.Adapt scraping techniques to reliably extract data from dynamic and interactive web sources, accommodating JavaScript-rendered content and evolving site behaviors.Maintain high data quality standards through validation checks, consistency controls from multiple sources, formatting adherence, and systematic verification prior to data delivery.Scale scraping capabilities for extensive datasets using efficient batching or parallelization, monitor failures, and ensure stability despite minor changes in site structure.CompensationContributors on this project can earn up to $32 per hour, depending on their experience and contribution pace. Compensation may vary across projects based on their scope and complexity.How to ApplyTo get started, simply apply to this posting, qualify, and have the opportunity to work on projects that align with your technical skills, all on your own schedule. Your contributions will be vital in advancing AI capabilities and real-world applications.QualificationsAt least 3 years of relevant experience in data engineering, web scraping, automation, or related fields.Proficiency in Python and web scraping frameworks.Strong analytical and problem-solving skills.Ability to work independently and manage multiple projects concurrently.

We kindly request that applicants submit their CV in English and indicate their English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Overview of the RoleEach project will present unique challenges, and contributors may be tasked with:Creating original materials that simulate authentic engineering problems;Designing challenges that involve Python programming for engineering calculations and simulations;Ensuring that problems are computationally intensive and utilize numerical methods or iterative solutions;Developing scenarios involving system design, optimization, and analysis;Formulating problems based on real-world engineering challenges or practical applications;Verifying solutions utilizing Python alongside standard engineering libraries;Clearly documenting problem statements and providing accurate solutions.What We Are SeekingThis opportunity is ideal for material scientists and engineers with Python experience who are interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Material Science or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries seen as equivalent;At least 2 years of professional experience, whether applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1+ level).How the Process WorksInterested candidates will apply, pass the required qualifications, join a project, complete assigned tasks, and receive payment.Project CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week based on project needs. This is an estimate and does not guarantee a specific workload.CompensationContributors can earn up to $76 per hour, depending on their input and contribution pace. Compensation varies across projects based on scope, complexity, and expertise required. Please note that earnings may differ for other projects on this platform.

We invite you to submit your CV in English, highlighting your proficiency level in the language.Mindrift serves as a bridge connecting talented professionals with project-based AI opportunities at leading technology firms, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based and not a permanent position.Opportunity OverviewEach project presents unique challenges, and contributors may engage in the following tasks:Designing innovative material engineering problems that replicate authentic engineering workflows;Formulating problems necessitating Python programming for engineering calculations and simulations;Creating computationally intensive problems that demand numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in genuine research challenges or practical engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Qualifications We SeekThis role is ideal for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Material Science or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is also acceptable;At least 2 years of relevant professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong command of written English (C1 level or higher).Project Engagement ProcessTo get started: Apply → Pass qualification(s) → Join a project → Complete assigned tasks → Receive payment.Project Time CommitmentTasks for this project are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $76 per hour, varying based on experience and contribution pace. Note that compensation may differ across projects based on their specific requirements.

At Mechanize, we are on a mission to revolutionize the economy through the automation of real-world tasks. We specialize in building reinforcement learning (RL) environments designed to enhance AI models, enabling them to tackle complex challenges. Our innovative solutions are trusted by leading AI laboratories. Discover more about our work at mechanize.work.As a Junior Software Engineer at Mechanize, you will play a key role in developing RL environments that cater to the needs of the top AI labs. This position is ideal for individuals who are nearing graduation or have 0-2 years of experience in software engineering, and possess proficiency in Python programming.Prior experience in machine learning or AI is not a requirement.Curious about our interview process? Learn more about it here.

Mindrift connects chemistry experts with project-based AI work for leading tech companies. Projects focus on testing, evaluating, and improving AI systems. All roles are freelance and do not represent permanent employment. What you will do Create original computational chemistry problems that reflect real-world research workflows. Develop problems requiring Python programming solutions, using libraries such as numpy, scipy, and chemistry-specific packages. Ensure problems are computationally complex and not solvable manually within days or weeks. Design tasks that involve advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling. Base problems on actual research challenges or practical chemistry applications. Validate solutions in Python using established computational chemistry methods. Write clear problem statements and provide verified solutions. Requirements Degree in Chemistry or a related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is also considered. At least 2 years of relevant experience in applied work, research, or teaching. Experience with numerical methods in chemistry. Understanding of computational chemistry concepts and techniques. Strong written English skills at C1 level or higher. How it works Submit an application and CV in English, including your English proficiency level. The process follows these steps: Apply Pass qualifications Join a project Complete assigned tasks Receive payment Project details During active project phases, tasks typically require 10-20 hours per week. Actual workload depends on project needs and may vary. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution. Compensation varies by project scope, complexity, and the specialized knowledge required. Different projects may offer different rates based on their requirements.

Please submit your CV in English and indicate your level of English proficiency.At Mindrift, we specialize in connecting skilled professionals with exciting project-based AI opportunities at leading technology companies, dedicated to testing, evaluating, and enhancing AI systems. Note that all positions are project-based and not permanent employment.Role OverviewAs a contributor, you will engage in various tasks specific to each project, including:Creating original computational statistics challenges that replicate authentic mathematical research workflows;Designing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that challenges are computationally demanding and cannot be solved manually in a reasonable timeframe;Formulating problems requiring complex reasoning in domains like number theory, combinatorics, graph theory, and numerical analysis;Grounding problems in genuine research obstacles or practical mathematical applications;Validating solutions using Python with standard mathematical libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications and RequirementsThis position is ideal for statistics specialists with Python experience who are open to part-time, temporary projects. Preferred qualifications include:A degree in Statistics or a related field;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or equivalent programming languages;A minimum of 2 years of professional experience, whether in applied work, research, or teaching;Strong written English (C1+ proficiency);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be advantageous.Process OverviewTo participate, you will need to apply, pass any necessary qualifications, join a project, complete assigned tasks, and receive compensation.Project CommitmentActive phases of projects are estimated to require approximately 10–20 hours per week, depending on specific project demands. Please note this is an estimate and not a guaranteed workload.CompensationContributors can earn up to $73 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and expertise required. Be aware that other projects may offer differing compensation structures.

Please submit your CV in English and indicate your English proficiency level. Toloka AI, working with Mindrift, offers project-based freelance roles for professionals who want to help test, evaluate, and improve artificial intelligence systems for leading technology companies. These are contract assignments, not permanent positions. Role overview The Freelance Data Science Engineer (Python & SQL) works remotely from Virginia, United States, and takes on a variety of AI-related projects. Assignments change from project to project, but the core work centers on designing and validating computational data science challenges that reflect real-world analytical problems across industries like telecommunications, finance, government, e-commerce, and healthcare. Develop data science problems that require Python programming, using libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure tasks are complex enough to need significant computation and cannot be solved manually in a short time. Create scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and business insight generation. Design deterministic problems with reproducible results, using fixed random seeds if randomness is necessary. Base assignments on real business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Build end-to-end tasks that cover the data science workflow: data ingestion, cleaning, exploration, modeling, validation, and deployment considerations. Integrate big data scenarios that require scalable computation strategies. Validate solutions using Python, standard data science libraries, and statistical methods. Document each problem clearly, including realistic business contexts and verified solutions. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications that highlight practical problem-solving skills. Advanced Python programming for data science, especially with Pandas, Numpy, Scipy, and Scikit-learn. Strong background in statistical analysis and machine learning, including algorithms and real-world applications. Proficiency in SQL and database operations for data analysis. Experience with Generative AI (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps and model deployment processes. Familiarity with tools such as TensorFlow, PyTorch, and LangChain. Excellent written English skills at C1 level or higher. How to join Apply Pass qualifications Join a project Complete tasks Receive compensation