Freelance Optical Engineer with Python Expertise - AI Training Opportunities

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.

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.

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 English proficiency level. This freelance, project-based role with Mindrift connects optical engineers in Wisconsin, United States, to remote assignments focused on advancing AI systems. Each project draws on deep knowledge of physics and Python programming, with tasks shaped by real-world research and computational challenges. What you will do Create original computational physics problems that reflect real research workflows. Design scenarios requiring Python solutions, often using Numpy, SciPy, or Sympy. Develop complex, computationally intensive problems that cannot be solved manually in a short timeframe. Write problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base assignments on real research questions or practical physics applications. Verify solutions in Python with established simulation libraries. Document problem statements clearly and provide accurate, validated answers. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is also considered. At least 2 years of relevant experience in applied, research, or teaching roles. Background in numerical simulation methods. Ability to design problems that mirror research processes in physics. Creative approach to problem design across multiple physics domains. Familiarity with modeling and approximation techniques in physics. Strong written English skills at C1 level or higher. How to get started Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Time commitment Plan for 10-20 hours per week during active project phases. Actual hours may shift depending on project needs. Compensation Earnings can reach up to $76 per hour, depending on experience and contribution speed. Pay rates vary by project scope, complexity, and expertise required. Other projects on the platform may offer different compensation based on their demands.

This freelance Optical Engineer - AI Specialist role with toloka-ai offers remote, project-based work from Wisconsin or elsewhere in the United States. Assignments are temporary and center on supporting AI development by designing and evaluating advanced optics problems for leading technology partners. What You Will Do Create original optics problems modeled after real-world physics research processes. Design computationally intensive challenges that would require days or weeks to solve manually. Develop assignments demanding advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Base problems on real research scenarios or practical applications in optics and physics. Document each problem clearly and provide verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field At least 2 years of experience in applied, research, or teaching roles Strong numerical simulation skills Ability to design problems that reflect real research workflows in physics Creative approach to formulating problems across multiple physics domains Familiarity with physics modeling and approximation techniques Excellent written English skills at C1 level or above Project Commitment Active project phases typically require about 10–20 hours per week, though this may vary by project and is not a guaranteed minimum or maximum. Compensation Earnings can reach up to $76 per hour, depending on expertise, task complexity, and completion speed. Rates may differ for other projects on the platform. Application Process Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Please submit your CV in English and indicate your proficiency level.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects skilled professionals with project-based AI work for major technology companies. The focus is on testing, evaluating, and improving AI systems. This is a project-based, non-permanent role. Role overview This freelance position combines electrical engineering expertise with Python programming skills. Contributors work on assignments that mirror real-world engineering workflows and research challenges. Projects focus on designing and verifying computational problems that require advanced calculations and simulations. Create engineering problems that involve system design, optimization, and analysis Develop scenarios requiring numerical methods or iterative solutions using Python Base assignments on practical engineering tasks or current research topics Verify solutions in Python, applying standard engineering libraries Document problem statements and provide clear, accurate answers Requirements Degree in Electrical Engineering or a closely related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is a plus At least 2 years of professional experience in applied, research, or educational contexts Understanding of engineering constraints and practical approximations Strong English writing skills at C1 level or higher Certifications such as CMME, SAS, or CAP, and experience with international or applied projects are advantageous How to participate The process includes applying, passing qualifications, joining a project, completing assigned tasks, and receiving compensation. Project commitment During active project phases, tasks typically require 10–20 hours per week. Workload may vary and is not guaranteed outside these periods. Compensation Contributors may earn up to $69 per hour, depending on expertise and project requirements. Compensation varies by assignment, based on scope, complexity, and required skills. Other projects on the platform may offer different rates. Location: Remote , Virginia, United States

Please submit your CV in English and specify your English proficiency level. This freelance, project-based role connects optical engineers with opportunities to support AI development for leading tech companies. Assignments focus on testing, evaluating, and improving AI systems. The position is not permanent and work is fully remote, based in Virginia, United States. Role overview As an Optical Engineer - Freelance AI Specialist, the main responsibility is to create and document original optical problems inspired by real research workflows. These problems will often require advanced computational methods and deep reasoning across physics disciplines. What you will do Develop original optical problems that reflect authentic physics research processes Create computationally intensive challenges beyond manual calculation Design tasks involving advanced concepts in mechanics, electromagnetism, thermodynamics, and quantum mechanics Formulate problems based on real-world research or practical applications in optics and physics Document clear problem statements and provide validated solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field At least 2 years of professional experience in applied, research, or teaching roles Strong background in numerical simulation methods Ability to design problems that mirror genuine research workflows Creative problem-solving skills across several areas of physics Familiarity with modeling and approximation techniques in physics Excellent written English at C1 level or above Process steps Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time commitment During active projects, expect to dedicate approximately 10–20 hours per week. Actual workload may shift depending on project requirements. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution speed. Final compensation varies by project complexity, scope, and required skills.

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 seasoned Python Engineer with extensive functional testing expertise. The ideal candidate will have robust skills in Linux and Docker, a proficiency for reading code across multiple languages (such as C, Rust, and Go) with the aid of LLMs, and the capability to translate migration requirements effectively. Familiarity with tools like Roo Code or Claude Code to streamline iterative development is essential.Key ResponsibilitiesDevelop and implement functional black box tests for sizable codebases across various programming languages.Set up and oversee Docker environments to guarantee fully reproducible builds and test executions across platforms.Monitor code coverage and develop automated scoring criteria aligning with industry benchmarks.Utilize LLMs (such as Roo Code and Claude) to enhance development cycles, automate repetitive tasks, and elevate overall code quality.Requirements5+ years of software engineering experience, primarily in Python.In-depth knowledge of pytest (including fixtures, session-scoped, timeouts) and experience in designing black-box functional tests for CLI tools.Advanced proficiency with Docker (including reproducible Dockerfiles, user contexts, and secure workspaces).Strong skills in Linux & Bash scripting and debugging within containers.Familiarity with modern Python tools (like uv, pyproject.toml, and packaging).Ability to interpret and understand multiple programming languages with LLM support (such as C, C++, Rust, or Go).Experience leveraging LLMs (Claude Code, Roo Code, Cursor) for accelerating iterative development and generating test cases.English proficiency at a B2 level or higher.Preferred QualificationsPrevious 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.BenefitsProject-based freelance collaboration via the Mindrift platform (powered by Toloka AI).Fully remote and flexible participation—choose your working hours and commitment (20-30 hours per week).Compensation based on task performance, up to $80/hour*.

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 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.

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 specify your English proficiency level. toloka-ai, working with Mindrift, offers freelance, project-based assignments for optical engineers and AI systems consultants. These projects center on testing, evaluating, and improving AI systems for leading technology companies. This is a remote, non-permanent contract role based in Iowa, United States. Role overview This freelance position involves developing original optical problems that reflect real-world physics research. Assignments require designing computational challenges that go beyond what can be solved manually in a reasonable timeframe. Scenarios should be rooted in genuine research issues or real applications in optics and physics. What you will do Create advanced problems covering mechanics, electromagnetism, thermodynamics, and quantum mechanics Design challenges that require computational approaches and advanced reasoning Document problem statements clearly and provide verified solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a related field Minimum of 2 years of professional experience (applied, research, or teaching) Strong skills in numerical simulation methods Experience designing problems that mirror authentic research workflows Creative problem-solving across multiple physics domains Familiarity with physics modeling and approximation methods Excellent written English, C1 level or higher How the process works Apply Pass qualifications Join a project Complete assigned tasks Receive payment Time commitment Active projects typically require about 10–20 hours per week. Actual time may vary based on project needs. Compensation Earnings can reach up to $76 per hour, depending on expertise and task completion rate. Actual pay varies with project complexity, scope, and required skills.

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 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 and indicate your English proficiency level. Mindrift matches professionals with project-based AI work for top technology companies. Projects focus on evaluating, testing, and refining AI systems. All roles are contract-based and do not constitute permanent employment. Role overview This freelance position is for AI trainers with a background in research physics and Python programming. Assignments vary, but the work centers on designing and validating computational physics problems that mirror real research scenarios. Create computational physics challenges inspired by actual research workflows Develop tasks requiring Python solutions, often using libraries such as Numpy, SciPy, or Sympy Ensure problems are complex enough to require computation, not manual calculation Cover topics like mechanics, electromagnetism, thermodynamics, or quantum mechanics Base scenarios on genuine research questions or practical physics applications Validate solutions using Python and established simulation tools Clearly document each problem and provide verified solutions Requirements Degree in physics (theoretical, experimental, or computational) or a related discipline Proficient in Python for numerical work; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus Minimum 2 years of experience in applied research or teaching Background in numerical simulation methods Ability to design problems that reflect authentic research processes Creative approach to developing challenges across various physics domains Strong grasp of modeling and approximation techniques in physics Excellent written English (C1 level or higher) Project workflow Application Qualification process Project participation Task completion Compensation Time commitment During active projects, tasks typically require 10–20 hours per week. Actual workload may vary based on project needs. Compensation Contributors may earn up to $76 per hour, depending on skills, speed, and project requirements. Rates can vary according to project scope and complexity. Location This is a remote contract role open to candidates based in Wisconsin, United States.

Please submit your CV in English and specify your English proficiency level. Toloka AI, through Mindrift, connects specialists with project-based work focused on testing, evaluating, and improving AI systems for technology companies. This freelance role is not a permanent position and offers flexibility for those interested in contributing to AI development remotely from Virginia, United States. Role overview This freelance research physicist position centers on creating and validating computational physics problems for AI training. Projects involve designing challenges that require Python programming and reflect authentic research workflows. The work is project-based, with hours varying according to project needs. What you will do Create original computational physics problems modeled on real research scenarios. Design problem sets that require Python solutions, using libraries such as Numpy, SciPy, and Sympy. Develop computationally intensive problems that would be impractical to solve manually. Build scenarios involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. Draw from real research or practical applications in physics. Validate solutions in Python using established simulation libraries. Document each problem clearly, providing verified solutions. Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field. Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also acceptable. Minimum of 2 years of professional experience in research, applied work, or teaching. Comfort with numerical simulation techniques and modeling in physics. Ability to design problems that reflect real-world research challenges. Creative problem-solving across multiple physics domains. Excellent written English (C1 level or higher). How to apply The application process includes the following steps: Apply Pass qualifications Join a project Complete assigned tasks Receive compensation Project details During active phases, expect to spend approximately 10–20 hours per week, depending on project requirements. This estimate may change with project scope and workload. Compensation Contributors can earn up to $76 per hour equivalent. Actual rates depend on the nature and complexity of the work. Compensation may vary between projects based on requirements.

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

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.