Freelance Mechanical Engineer & Python Specialist for 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 permanent employment.What This Role EntailsWhile each project presents distinct tasks, contributors may be involved in:Developing mechanical engineering problems at both graduate and industry levels, based on practical applications.Assessing AI-generated outputs for accuracy, underlying assumptions, and sound engineering principles.Utilizing Python (including libraries such as NumPy, SciPy, and Pandas) to validate analytical or numerical results.Enhancing AI reasoning to ensure alignment with fundamental principles and established engineering norms.Employing structured scoring criteria to evaluate multi-step problem-solving processes.Qualifications We SeekThis opportunity is particularly suitable for mechanical engineers with Python experience who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Mechanical Engineering or related disciplines (e.g., Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics).A minimum of 3 years of professional experience in mechanical engineering.Excellent written English skills (C1/C2 level).Proficiency in Python for numerical validation.A reliable internet connection.Professional certifications (e.g., PE, CEng, PMP) and experience with international or applied projects will be considered advantageous.How the Process WorksStep 1: Apply → Step 2: Pass qualifications → Step 3: Join a project → Step 4: Complete tasks → Step 5: Receive payment.Project Commitment ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, depending on project needs. This estimate is not a guarantee of workload and only applies while the project remains active.CompensationContributions will be compensated at rates up to $55/hour*.Compensation may be structured as a fixed project rate or individual rates, depending on the specific project.Some projects may offer incentive payments.*Note: Compensation rates vary based on expertise, skill assessments, location, project requirements, and other factors. Highly specialized experts may receive higher rates, while lower rates may apply during onboarding or non-core project phases. Specific payment details will be provided for each project.

Mindrift offers project-based roles for specialists in mechanical engineering and Python, supporting AI training initiatives for major technology clients. This freelance position is remote, open to candidates based in New York, United States, and centers on designing and validating engineering problems for AI systems. Role overview This role focuses on developing original computational engineering challenges that mirror real-world scenarios. Assignments include: Creating engineering problems that simulate practical workflows and research topics Designing tasks that require Python programming for calculations, simulations, and numerical analysis Building computationally intensive problems using iterative methods or numerical solutions Developing challenges related to system design, optimization, and engineering analysis Validating solutions in Python with standard engineering libraries Documenting problem statements and providing accurate, verified answers Requirements Bachelor’s degree or higher in Mechanical Engineering or a related field Strong proficiency in Python for numerical validation; familiarity with tools such as MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also accepted At least 2 years of professional experience in applied, research, or teaching roles Solid understanding of engineering constraints and practical approximations Excellent written English skills at C1 level or above Professional certifications (CMME, SAS, CAP) and experience with international or applied projects are considered advantageous Project process Submit an application Confirm qualifications Join a project Complete assigned tasks Receive compensation Time commitment Project tasks generally require 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed. Compensation Rates for this freelance role reach up to $69 per hour, depending on contribution, project complexity, and expertise. Compensation may differ for other projects on the Mindrift platform. Application instructions Submit your CV in English and indicate your English proficiency level.

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

Please apply in English and include your English proficiency level. Mindrift connects skilled professionals with project-based AI assignments for major technology companies. Work centers on testing, evaluating, and improving AI systems. All roles are freelance and project-based, not permanent employment. Role overview This freelance opportunity is designed for mechanical engineers with strong Python skills who are interested in flexible, part-time project work. Contributors play a key role in creating and validating computational engineering problems that advance AI development. What you will do Develop original engineering scenarios that mirror real-world processes. Design problems that require Python programming for engineering computations and simulations. Ensure tasks involve computationally intensive methods, including numerical or iterative solutions. Create scenarios focused on system design, optimization, and analytical problem-solving. Base your work on real research questions or practical engineering applications. Validate solutions in Python, using recognized engineering libraries. Write clear problem statements and provide thoroughly checked solutions. Requirements Degree in Mechanical Engineering 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 valued. At least 2 years of relevant experience in applied, research, or teaching roles. Understanding of practical engineering limitations and approximations. Excellent written English (C1 level or above). Professional certifications (such as CMME, SAS Certifications, CAP) and experience with international or applied projects are a plus. How projects work Apply Complete qualifications Join a project Execute assigned tasks Receive compensation Project commitment During active project phases, tasks usually require about 10 to 20 hours per week, depending on project needs. This estimate is not guaranteed and applies only while a project is active. Compensation Contributors can earn up to $69 per hour, depending on contribution level and pace. Actual pay varies by project, based on scope, complexity, and expertise required. Other projects on the platform may offer different rates depending on their requirements.

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.

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

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.

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

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.

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

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

Please submit your CV in English and 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.

Mindrift brings together professionals from around the world to work on AI projects for major technology companies. The team’s focus is on advancing Generative AI by connecting specialists with real-world expertise. Role overview This part-time, remote contract is for a Freelance Python Data Scraping Engineer (AI Pilot) supporting the Tendem project. Candidates must be based in Iowa, United States. The work centers on managing and carrying out web data extraction tasks, collaborating closely with Tendem Agents, and applying critical thinking to ensure the accuracy and relevance of collected data. Quality assurance is a key part of the position. What you will do Manage end-to-end data extraction workflows for complex websites, delivering structured datasets with precision and reliability. Use internal tools such as Apify and OpenRouter, along with custom workflows, to collect, validate, and process data according to project needs. Adapt scraping methods for dynamic web sources, including handling JavaScript-rendered content and responding to changing site behaviors. Apply strict data quality standards, running validation checks and systematic verification before delivering results. Scale operations for large datasets using batching or parallelization, monitor for failures, and maintain stability when site structures change. Requirements Minimum 3 years of experience in data engineering, web scraping, automation, or a related field. Compensation Earn up to $32 per hour, based on expertise and contribution speed. Actual pay may vary depending on project scope and complexity, and may differ across projects on the Mindrift platform. How to apply Submit an application through this posting to be considered for projects that fit your technical background and availability. Work may involve coding, automation, or refining AI outputs, all contributing to AI advancement and practical use cases.

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 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

Mindrift connects technical experts with AI-driven projects, focusing on the intersection of generative AI and specialized human knowledge. The company partners with technology leaders to deliver real-world solutions powered by collaborative intelligence. Role overview This part-time, remote contract position centers on advanced data extraction and processing for the Tendem project. As a Freelance Python Data Scraping Engineer (called "AI Pilot" at Mindrift), the role works within an AI-human hybrid system. Engineers collaborate with Tendem Agents, who handle routine tasks, while focusing on critical thinking and applying domain expertise to produce accurate, actionable data insights. What you will do Run end-to-end workflows to extract data from complex websites, delivering structured datasets with high accuracy. Use internal tools such as Apify and OpenRouter, as well as custom-built solutions, to collect, validate, and process data according to project needs. Adapt extraction methods for dynamic or JavaScript-rendered content and evolving site structures. Ensure data quality through validation checks, cross-source comparisons, formatting standards, and systematic verification before delivery. Optimize large-scale scraping with batching or parallelization, monitor for failures, and maintain resilience to minor layout changes. Requirements Minimum of 3 years of experience in data engineering, web scraping, automation, or a closely related technical field. Compensation Earn up to $32 per hour on this project, depending on experience and pace. Actual rates may vary by project scope, complexity, and required skills. Other projects on the Mindrift platform may offer different compensation based on their needs. How to apply Submit an application to this posting. After qualifying, join projects that fit your technical strengths and work on a flexible schedule. Tasks may include coding, automation, and refining AI outputs, all contributing to the advancement of AI and its real-world uses.

Mindrift connects specialists with AI-driven projects from technology innovators. The company blends generative AI with expertise from contributors worldwide. Role overview This part-time, remote position is open to candidates based in Wisconsin, United States. As a Freelance Python Data Scraping Engineer, you will support the Tendem project by executing specialized data scraping workflows within an AI and human collaboration system. Internally, this role is called an AI Pilot. Work closely with Tendem Agents to tackle repetitive tasks, applying critical thinking and domain knowledge to deliver accurate, actionable data. Consistent quality control and attention to detail are essential in this role. Main responsibilities Manage end-to-end data extraction workflows across complex websites, ensuring thorough coverage and accuracy. Use internal tools such as Apify and OpenRouter, along with custom-built workflows, to accelerate data collection, validation, and task completion. Adapt extraction strategies for dynamic web sources, including those with JavaScript-rendered content or changing structures. Apply validation checks and systematic verification to maintain data quality before delivering results. Scale scraping operations for large datasets using efficient methods that remain stable as target sites evolve. Compensation Earn up to $32 per hour, depending on experience and pace of contribution. Actual pay may vary by project scope and complexity. Application process Submit your application and demonstrate your technical skills to be considered. This freelance role offers the chance to contribute to real-world AI projects while working on a flexible schedule.

Mindrift seeks a Freelance Python Data Scraping Engineer to support specialized data workflows for the Tendem project. This is a remote, part-time contract based in Virginia, United States. The role centers on complex data extraction, quality control, and collaboration with Tendem Agents who automate routine tasks. Role overview This position involves designing and managing data scraping operations for dynamic and interactive websites. The focus is on delivering structured, reliable datasets that meet project requirements. As an "AI Pilot," the engineer will handle the more challenging aspects of extraction while ensuring data quality and actionable outcomes. What you will do Lead end-to-end extraction from complex sites, producing accurate and structured data. Utilize internal tools like Apify and OpenRouter, along with custom Python workflows, for collecting, validating, and processing data. Adjust techniques to extract information from JavaScript-heavy or interactive sources. Perform validation checks and consistency controls to maintain high data quality before delivery. Scale operations for large datasets by batching or parallelizing tasks, monitor for failures, and adapt to changes in website structures. Compensation Rates reach up to $32 per hour, based on experience, speed, and project complexity. Actual pay may vary depending on the specific assignment and required skills. How to apply Submit an application to this post and complete the qualification steps. Candidates who qualify may join projects that fit their technical background and availability. Assignments include coding, automation, and refining AI-driven outputs, contributing to practical AI solutions.