Freelance Mechanical Engineer & Python Specialist for AI Training

Please submit your CV in English and specify your level of English proficiency.Mindrift is your gateway to project-based AI opportunities, connecting skilled professionals with top-tier tech companies focused on testing, evaluating, and enhancing AI systems. This is a project-based collaboration, not a permanent position.About the RoleWe are looking for a se…

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 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.

Join Mindrift as a Freelance Python Data Scraping Engineer and contribute to the innovative Tendem project, where you will lead specialized data scraping workflows within our hybrid AI and human framework.As an AI Pilot at Mindrift, you will work closely with Tendem Agents who manage repetitive tasks, while your expertise in critical thinking and quality control will ensure the delivery of precise and actionable data.This part-time remote opportunity is perfect for technical professionals with substantial hands-on experience in web scraping and data processing.About MindriftMindrift is dedicated to connecting specialists with groundbreaking AI projects from leading tech innovators. Our mission is to harness the power of Generative AI by utilizing real-world expertise from around the globe.Role OverviewIn this freelance position, you will execute data scraping tasks with a focus on technical precision for web extraction and processing, employing various tools such as Apify and OpenRouter, as well as your own creative methods.Key ResponsibilitiesManage end-to-end data extraction workflows across intricate websites, ensuring comprehensive coverage, accuracy, and reliable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) along with custom workflows to enhance data collection, validation, and task execution while adhering to outlined requirements.Guarantee reliable extraction from dynamic and interactive web sources, adjusting strategies as necessary to manage JavaScript-rendered content and evolving site behaviors.Uphold data quality standards through validation checks, cross-source consistency controls, adherence to formatting requirements, and systematic verification before delivery.Scale scraping operations for extensive datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure alterations.CompensationContributors on this project can earn up to $32 per hour, contingent on their experience and contribution pace.Compensation varies across projects based on scope, complexity, and expertise required. Note that other projects on the platform may offer different earning levels based on specific needs.How to ApplyTo apply, simply submit your application, qualify, and seize the opportunity to work on projects that align with your technical skills, on your own schedule. From coding and automation to enhancing AI outputs, you will play a pivotal role in advancing AI capabilities and their real-world applications.QualificationsMinimum of 3 years of relevant experience in data engineering, web scraping, automation, or related fields.Proficient in Python programming and data extraction techniques.Experience with tools like Apify and OpenRouter is advantageous.Strong analytical skills and attention to detail.Ability to adapt to dynamic web environments and troubleshoot efficiently.

Join Mindrift as a Freelance Python Data Scraping Engineer!Are you a talented Python Data Scraping Engineer eager to make an impact? Mindrift is seeking skilled professionals to contribute to the Tendem project by optimizing data scraping workflows within our innovative hybrid AI + human system.As an AI Pilot—our term for this role—you will work alongside Tendem Agents handling repetitive tasks, while you bring your critical thinking skills, domain expertise, and quality control to ensure precise and actionable outcomes.This part-time remote opportunity is perfect for technical experts experienced in web scraping, data extraction, and processing.About MindriftAt Mindrift, we connect specialists with cutting-edge AI projects from leading tech innovators. Our mission is to unlock the potential of Generative AI by leveraging real-world expertise from around the globe.Your RoleAs a Python Data Scraping Engineer, you will manage data scraping tasks that demand technical accuracy for web extraction and processing. Utilize our internal tools like Apify and OpenRouter, as well as your creative problem-solving skills, to achieve efficient results.Key ResponsibilitiesOversee end-to-end data extraction workflows across intricate websites, guaranteeing thorough coverage, accuracy, and dependable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) and custom workflows to expedite data collection, validation, and task execution, ensuring all requirements are met.Adapt strategies to reliably extract data from dynamic and interactive web sources, including handling JavaScript-rendered content and changes in site behavior.Implement data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.Scale scraping operations for large datasets effectively, employing batching or parallelization, while monitoring failures and maintaining stability against minor changes in site structure.CompensationContributors can earn up to $32 per hour, based on their expertise and contribution pace. Note that compensation may differ across projects depending on their complexity and requirements.Getting StartedReady to join us? Apply now to qualify and engage in projects that match your technical skills, on your own schedule. From coding and automation to refining AI outputs, you will play a vital role in advancing AI capabilities and real-world applications.

Please submit your CV in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for top technology companies. The focus is on testing, evaluating, and improving AI systems. This is a contract position tied to specific projects, not a permanent full-time role. Role overview This Senior Python Systems Developer position centers on functional testing for large and complex codebases. The work involves designing and running black-box tests, setting up reproducible environments with Docker, and using large language models (LLMs) to enhance and automate development tasks. The ideal candidate is comfortable with Linux, Docker, and can interpret code in languages like C, Rust, or Go. Familiarity with iterative development tools such as Roo Code or Claude Code is valued, as is experience with migration tasks. What you will do Design and implement functional black-box tests for large codebases in various languages. Set up and maintain Docker environments to support reproducible builds and test runs across platforms. Track code coverage and configure automated scoring to match industry standards. Leverage LLMs (including Roo Code and Claude) to automate repetitive steps and improve code quality. Requirements Minimum 5 years as a Software Engineer, primarily working with Python. Strong hands-on experience with pytest (including fixtures, session-scoped tests, and timeouts) and black-box testing for CLI tools. Expert-level knowledge of Docker, including writing reproducible Dockerfiles, managing user contexts, and workspace security. Advanced Linux and Bash scripting skills, with the ability to debug inside containers. Familiarity with modern Python tooling such as uv, pyproject.toml, and packaging. Ability to read and interpret code in C, C++, Rust, or Go, with LLM assistance. Experience using LLMs (Claude Code, Roo Code, Cursor) for iterative development and generating tests. English proficiency at B2 level or higher. Preferred Background with agent evaluation platforms and MCP CLI. Tools and technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (for code reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Benefits and compensation Freelance, project-based work through the Mindrift platform (powered by Toloka AI). Fully remote and flexible: set your own schedule and contribution level (20-30 hours per week). Project-based pay. AI trainers on this project can earn up to $80 per hour. Location: Remote , San Antonio, Texas, United States

Please submit your CV in English and specify your English proficiency level. This freelance, project-based role with toloka-ai (via Mindrift) centers on testing, evaluating, and improving AI systems for technology clients. The work is remote and based in Virginia, United States. This position does not offer permanent employment. Role overview Material Scientists in this role design and document engineering problems that mirror real-world workflows. The focus is on creating computational challenges that require Python for calculations and simulations. Problems should involve numerical methods, iterative solutions, and reflect real research questions or practical engineering scenarios. Each task must be validated using Python and established engineering libraries, with clear documentation and verified solutions. Key responsibilities Develop original materials engineering problems based on real applications Create complex challenges requiring Python programming Ensure tasks are computationally intensive and use numerical or iterative methods Design scenarios involving system design, optimization, and analysis Validate solutions with Python and relevant libraries Document problem statements and provide verified solutions Requirements Degree in Material Science or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar languages is a plus Minimum of 2 years’ relevant experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Excellent written English (C1 level or above) Process Apply Pass qualification(s) Join a project Complete tasks Receive compensation Time commitment Projects generally require 10–20 hours per week during active periods. Actual workload may change depending on project needs. Compensation Contributors can earn up to $76 per hour, depending on experience, pace, and project scope. Rates may vary according to complexity and required expertise.

Please submit your CV in English and indicate your level of English proficiency.Mindrift connects talented professionals with project-based AI opportunities at leading tech companies, emphasizing the testing, evaluation, and enhancement of AI systems. Note: Participation is on a project basis rather than permanent employment.About the RoleEach project presents distinct challenges, and contributors may be tasked to:Develop innovative computational physics problems that reflect authentic physics research workflows;Craft problems necessitating Python programming solutions (utilizing Numpy, SciPy, Sympy);Ensure the problems are computationally demanding, requiring extensive timeframes to solve (days or weeks);Formulate problems requiring complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base challenges on genuine research dilemmas or practical scenarios from the field of physics;Verify solutions using Python with established physics simulation libraries;Clearly document problem statements and provide verified correct answers.QualificationsThis opportunity is ideal for optical engineers with Python expertise who are open to part-time, non-permanent projects. We are looking for contributors who 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, domain-specific libraries, Stata, or knowledge of other programming languages is acceptable;A minimum of 2 years of professional experience in applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that replicate authentic physics research workflows;Creative approaches to problem design across various physics domains;Understanding of physics modeling and approximation methods;Strong command of written English (C1+ level).How It WorksApplication → Qualification(s) → Project Participation → Task Completion → PaymentProject Time ExpectationsFor this project, tasks are projected to require around 10–20 hours per week during active phases, depending on project needs. This is an estimate, not a guaranteed workload, and applies only while the project is active.CompensationContributors can earn up to $76 per hour, depending on their level and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Note that other projects on the platform may offer different earning potentials based on their respective requirements.

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

Please submit your resume in English and include your English proficiency level. Toloka AI, through the Mindrift platform, offers freelance opportunities for specialists to contribute to leading AI projects. This Senior Python Systems Developer - Functional Testing Specialist role is remote and open to candidates based in Wisconsin or anywhere in the United States. The position is project-based and not a permanent staff role. Role overview This position centers on designing and implementing functional black box tests for large, multi-language codebases. The work involves building and maintaining Docker environments to ensure reproducible builds and test executions across platforms. Monitoring code coverage and configuring automated scoring systems to align with industry standards are also key parts of the job. The role includes using large language models (LLMs) such as Roo Code and Claude Code to automate repetitive tasks, streamline workflows, and improve code quality. What you will do Design and implement functional black box tests for codebases written in various programming languages. Set up and maintain Docker environments for reproducible builds and test runs. Monitor code coverage and configure automated scoring systems to meet benchmarks. Use LLMs (Roo Code, Claude Code) to automate tasks and enhance code quality. Requirements At least 5 years of experience as a Software Engineer, primarily working with Python. Extensive experience with pytest, including fixtures, session-scoped tests, timeouts, and building black-box functional tests for CLI tools. Expertise in Docker: writing reproducible Dockerfiles, managing user contexts, and maintaining secure workspaces. Strong knowledge of Linux and Bash scripting, including debugging within containers. Familiarity with modern Python tools such as uv, pyproject.toml, and packaging. Ability to read and understand code in C, C++, Rust, and Go, with support from LLMs. Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate development and generate test cases. English proficiency at B2 level or higher. Preferred qualifications Experience with agent evaluation platforms and MCP CLI. Tools and technologies Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov. Project details and compensation Freelance, project-based work through the Mindrift platform (Toloka AI). Fully remote and flexible scheduling. Expected commitment is 20-30 hours per week. Compensation is project-based and depends on scope and expertise. AI trainers can earn up to $80 per hour.

We invite you to submit your CV in English, detailing your proficiency level in the language.Mindrift is a dynamic platform that bridges specialized talents with project-based opportunities in artificial intelligence for top-tier technology firms. Our focus is on the assessment, testing, and enhancement of AI systems. Please note that roles are project-based and do not constitute permanent employment.Role OverviewEach project presents distinct challenges, and contributors may:Devise innovative computational statistics problems that reflect authentic mathematical research workflows;Craft problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and SymPy);Guarantee that problems are computationally demanding and not solvable manually within a reasonable timeframe (days or weeks);Create problems that involve complex reasoning in domains such as number theory, combinatorics, graph theory, and numerical analysis;Base problems on genuine research challenges or practical applications in mathematical practice;Validate solutions using Python and standard mathematical libraries;Clearly document problem statements and provide verified correct solutions.Candidate ProfileThis opportunity is ideal for statistics professionals with Python experience who are open to part-time, non-permanent roles. Preferred qualifications include:A degree in Statistics or a related discipline;Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any similar programming languages being acceptable;A minimum of 2 years of relevant professional experience, whether in applied work, research, or education;Strong command of written English (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and involvement in international or applied projects will be considered an advantage.Application ProcessApply → Pass qualifications → Join a project → Complete assigned tasks → Receive compensationProject CommitmentFor this project, the estimated effort is approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.Compensation DetailsContributors can earn up to $73 per hour, contingent on their experience and contribution pace. Compensation varies by project based on scope, complexity, and required expertise. Other projects on the platform may offer differing earnings based on their specific requirements.

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.

Join Mindrift as a Freelance AI Trainer specializing in Physics!Are you ready to collaborate with leading tech companies on innovative AI projects? At Mindrift, we connect experts with exciting, project-based opportunities that focus on testing, enhancing, and evaluating AI systems. Please note that this is a project-based role, not permanent employment.Role Responsibilities:Devise original computational physics problems that simulate authentic research workflows.Craft problems necessitating Python programming for solutions, utilizing frameworks like Numpy, SciPy, and Sympy.Ensure problems are computationally demanding and cannot be manually solved in a reasonable timeframe.Conceive problems that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics.Base problems on actual research challenges or physics applications.Validate solutions through Python using standard physics simulation libraries.Document problem statements meticulously and provide verified correct answers.

We invite you to submit your CV in English and specify your English language proficiency level.At Mindrift, we connect skilled professionals with project-based AI opportunities for top technology firms, concentrating on the testing, assessment, and enhancement of AI systems. Please note that participation is project-based rather than permanent employment.Opportunity OverviewEach project presents its own unique challenges, and contributors may be tasked with:Crafting original computational engineering problems that reflect authentic engineering workflows;Generating problems that necessitate Python programming for engineering calculations and simulations;Ensuring the problems are computationally demanding and involve numerical methods or iterative solutions;Creating problems that entail system design, optimization, and analytical processes;Drawing from real-world research challenges or practical applications in engineering practice;Validating solutions using Python along with established engineering libraries;Clearly documenting problem statements and providing accurate verified solutions.Qualifications We SeekThis role is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries will be considered equivalent;A minimum of 2 years of professional experience, which may include applied, research, or teaching roles;An understanding of practical engineering constraints and approximations;Strong written English skills (C1 level or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Receive compensationProject Time ExpectationsDuring active phases, tasks are projected to require approximately 10–20 hours per week, contingent on project demands. This estimate is not a guaranteed workload and pertains only while the project is active.CompensationContributors can earn up to $69 per hour depending on their level of expertise and pace of contribution. Compensation varies across projects based on scope, complexity, and required skills. Be aware that other projects on the platform may offer different compensation levels based on their specific requirements.

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.

Toloka AI is hiring a freelance AI trainer with experience in civil engineering and Python. This contract position is fully remote and based in Iowa, United States. The role centers on bringing together civil engineering knowledge and artificial intelligence to support the development of advanced AI models. Role overview This position focuses on training AI systems by applying technical expertise from civil engineering. The work involves hands-on tasks that blend engineering concepts with machine learning projects. What you will do Guide the development of AI models using civil engineering knowledge Support training and project tasks with Python programming Collaborate with Toloka AI's team to advance AI applications in civil engineering Location This is a remote contract role based in Iowa, United States.

We invite you to submit your CV in English, including your English proficiency level.Mindrift specializes in connecting experts with project-based AI opportunities for leading technology companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not entail permanent employment.Opportunity Overview:As a contributor, you will engage in diverse projects that may include:Crafting original computational engineering challenges that replicate genuine engineering processes.Formulating problems that necessitate Python programming for engineering calculations and simulations.Ensuring that challenges are computationally demanding and utilize numerical methods or iterative solutions.Creating scenarios focused on system design, optimization, and analysis.Developing problems based on authentic research challenges or practical engineering applications.Validating solutions through Python using standard engineering libraries.Clearly documenting problem statements and providing verified correct answers.Qualifications We Seek:This role is ideal for engineers proficient in Python and open to part-time, non-permanent project work. The ideal candidates will possess:A degree in Electrical Engineering or a related field.Expertise in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also valuable.A minimum of 2 years of professional experience, encompassing applied, research, or teaching roles.A strong 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 a plus.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:During active phases, expect tasks to require approximately 10–20 hours per week, subject to project demands. This estimate is not a guaranteed workload and applies only while the project is active.Compensation:Contributors can earn up to $69 per hour, contingent on their experience and contribution pace. Compensation varies by project based on its scope, complexity, and the expertise required. Other projects on the platform may offer different compensation rates based on their specific requirements.

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.

Join Mindrift as a Freelance Python Data Scraping Engineer, where you'll be pivotal in the Tendem project, orchestrating sophisticated data scraping workflows within our innovative hybrid AI and human system.In this role, referred to as an AI Pilot at Mindrift, you will work in tandem with Tendem Agents who manage repetitive tasks. Your role will focus on applying your critical thinking, domain expertise, and quality control skills to ensure the delivery of accurate and actionable results.This part-time remote opportunity is perfect for technical professionals with a solid background in web scraping, data extraction, and processing.About MindriftMindrift connects specialists with groundbreaking AI projects from leading tech innovators. Our mission is to unleash the potential of Generative AI by leveraging real-world expertise from around the globe.Role OverviewThis freelance position involves executing data scraping tasks that demand technical precision for web extraction and processing. You will utilize various tools, including Apify and OpenRouter, alongside your creative problem-solving methods.Key ResponsibilitiesManage end-to-end data extraction workflows across complex websites, ensuring comprehensive coverage, accuracy, and reliable delivery of structured datasets.Utilize internal tools (Apify, OpenRouter) along with custom workflows to expedite data collection, validation, and task execution while adhering to defined requirements.Ensure dependable extraction from dynamic and interactive web sources, adjusting strategies as necessary to accommodate JavaScript-rendered content and evolving site behaviors.Implement data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability amidst minor site structure changes.CompensationContributors to this project can earn up to $32 per hour, depending on their contribution level and pace. Compensation may vary across different projects based on scope, complexity, and expertise required.How to ApplyApply to this posting, qualify, and seize the opportunity to engage in projects that align with your technical skills on your own schedule. From coding and automation to fine-tuning AI outputs, your role will be instrumental in advancing AI capabilities and real-world applications.RequirementsA minimum of 3 years of relevant experience in data engineering, web scraping, automation, or a related field.