We invite you to submit your CV in English and specify your English proficiency level.Mindrift specializes in connecting experts with project-based AI opportunities for top technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. This is a project-based role and not a permanent position.Role Overview:Each project presents distinct tasks, and contributors may:Innovate original computational physics problems that replicate actual physics research processes;Develop problems necessitating Python programming to resolve (utilizing Numpy, SciPy, SymPy);Ensure the problems are computationally demanding and require more than reasonable timeframes (days/weeks) for manual solutions;Create challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research obstacles or real-world applications from physics;Validate solutions through Python using recognized physics simulation libraries;Document problem statements with clarity and provide verified accurate solutions.Candidate Profile:This opportunity is ideal for physicists with Python expertise who are interested in part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language is acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;An ability to create problems that reflect authentic physics research workflows;Creative problem-design skills across various physics domains;Knowledge of physics modeling and approximation methods;Strong command of written English (C1+ level).Process Overview:Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.Expected Commitment:For this project, tasks are expected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and does not guarantee workload.Compensation:Participants can earn up to $76 per hour, based on their level of expertise and contribution pace. Compensation varies by project, depending on scope, complexity, and required qualifications. Note that other projects may offer different compensation rates based on their specific requirements.

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

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

We invite you to submit your resume in English, clearly indicating your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top-tier tech firms, focusing on testing, evaluating, and enhancing AI systems. Note: This role is project-based and does not offer permanent employment.Role Overview:Each project presents unique challenges, including but not limited to:Designing original computational physics problems that reflect genuine research workflows;Formulating problems requiring Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Creating problems that are computationally demanding, ensuring they cannot be solved manually within practical timeframes (days or weeks);Developing intricate problems necessitating advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research dilemmas or applicable real-world physics scenarios;Verifying solutions through Python using standard physics simulation libraries;Writing clear and comprehensive problem statements along with verified correct answers.Candidate Profile:This opportunity is ideal for individuals with a physics background and Python expertise, seeking part-time, non-permanent projects. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation (knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable);A minimum of 2 years of relevant experience, including applied, research, or teaching roles;Familiarity with numerical simulation techniques;Capability to design problems that emulate authentic physics research workflows;Creative problem-solving skills across various physics domains;Solid command of written English (C1+ level).Project Workflow:To participate, follow these steps: Apply → Pass qualifications → Join a project → Complete tasks → Receive compensation.Expected Commitment:For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent upon project requirements. Note that this is an estimate and not a guaranteed workload.Compensation:Participants in this project can earn up to $76 per hour, depending on their proficiency and contribution pace. Compensation may vary by project based on its scope, complexity, and the expertise required. Please be aware that other projects on the platform may offer different compensation rates based on their specific needs.

We invite you to submit your CV in English, detailing your proficiency in English.Mindrift specializes in connecting experts to project-based AI roles with top technology firms, aimed at testing, assessing, and enhancing AI systems. Please note that this role is project-based and does not constitute permanent employment.Role OverviewWhile each project presents distinct challenges, potential contributors may:Craft original computational physics problems that reflect authentic physics research workflows;Develop programming challenges utilizing Python (including libraries such as Numpy, SciPy, and Sympy);Ensure problems are computationally intensive, requiring extended resolution times (days or weeks) rather than manual solutions;Create complex problems that demand significant reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research issues or practical applications in the field of physics;Validate solutions through Python, using standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications We SeekThis opportunity is ideal for physicists with Python expertise who are open to part-time, temporary projects. Applicants should 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 any equivalent programming language is also acceptable;A minimum of 2 years of relevant professional experience, including applied research or teaching;Experience with numerical simulation techniques;The ability to design problems that replicate authentic physics research scenarios;Creative problem-solving abilities across various physics domains;Strong familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1+ level).How the Process WorksInterested candidates should apply → Pass the qualification assessments → Participate in a project → Complete assigned tasks → Receive compensation.Project Commitment ExpectationsTasks are anticipated to demand approximately 10–20 hours per week during active project phases, contingent on specific project requirements. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $76 per hour, depending on their contribution level and efficiency. Compensation may vary across projects based on their scope, complexity, and expertise needed. Please be aware that different projects on the platform may have varying earning rates.

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.

To apply, please submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities at leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role and not a permanent position.Opportunity Overview:While each project presents unique challenges, contributors may be tasked with:Creating original computational physics problems that reflect genuine physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing Numpy, SciPy, Sympy);Ensuring tasks are computationally intensive and require significant time to solve (days/weeks);Designing complex problems involving reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research challenges or practical applications from the field of physics;Verifying solutions using Python alongside standard physics simulation libraries;Clearly documenting problem statements and providing validated answers.Ideal Candidate Profile:This position is suited for physicists experienced in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;At least 2 years of professional experience, which can include applied, research, or teaching roles;Experience with numerical simulation techniques;The capability to design problems that accurately represent real physics research workflows;Creative problem-solving skills across various physics domains;A solid understanding of physics modeling and approximation techniques;Strong written English skills (C1+ level).Application Process:Submit your application → Pass the required qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Commitment:During active project phases, tasks are estimated to require approximately 10–20 hours per week based on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $76 per hour, varying based on their contribution level and pace. Compensation can differ across projects depending on scope, complexity, and required expertise. Note that other projects may offer different earning potentials based on their specific requirements.

Role Overview Agency seeks a Freelance Government Specialist for an AI Training Project. This contract role centers on applying government process expertise to help improve AI tools that support public service work. What You Will Do Work closely with a cross-functional team to guide AI training efforts related to government operations. Share insights from your experience in government processes to help shape effective and relevant AI solutions. Contribute ideas and feedback that strengthen the project’s impact on public sector efficiency. Location This freelance position is open to candidates based in the United States of America.

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.

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

Are you a Photoshop aficionado excited to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to formidable creators, your expertise can provide the high-quality training data needed to equip tomorrow's AI. This data will enable artists, optimize workflows, and elevate design automation to unprecedented heights. We are in search of Photoshop specialists who are passionate about photo editing, compositing, manipulation, retouching, color correction, grading, layer masking, smart objects, adjustment layers, blend modes, filters, typography, and digital illustration. You’ll be engaging with advanced language models on topics such as non-destructive editing, realistic mockups, advanced selections, automation, image resolution enhancement, and creative effects, meticulously documenting each error to enhance model reasoning. On any given day, you will interact with the model on real-world design challenges and technical Photoshop inquiries, verifying factual accuracy and workflow logic, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. A Bachelor's or Master's degree in graphic design, visual arts, digital media, or a closely related field is preferred; a robust portfolio and professional experience with Photoshop, along with proficiency in Adobe Creative Suite tools, are essential. Coursework from platforms such as School of Motion, KelbyOne, Domestika, or Udemy in Photoshop or similar areas is advantageous. Clear, analytical communication—demonstrating your thought process—is crucial. Are you ready to transform your Photoshop proficiency into the foundation for the next generation of AI? Apply now and start shaping the model that will educate the world.

Mindrift offers project-based roles for professionals interested in advancing AI systems within the field of chemistry. This freelance opportunity is remote and open to candidates based in Wisconsin, United States. The position is not permanent and is suitable for those seeking flexible, part-time project work. Role overview Contributors will design and document original computational chemistry problems that reflect real-world research workflows. Tasks include: Creating problems that require Python programming to solve, using libraries such as numpy, scipy, and specialized chemical libraries Ensuring problems are computationally intensive and not solvable manually within a short timeframe Developing scenarios that demand advanced reasoning in physical chemistry, quantum chemistry, and molecular modeling Basing problems on authentic research challenges or practical applications in chemistry Verifying solutions in Python using standard computational chemistry methods Clearly documenting each problem statement and providing accurate, verified answers Requirements Degree in Chemistry or a related discipline Proficiency in Python for numerical validation (skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar languages are also considered) At least 2 years of experience in applied research or teaching Background in numerical methods for chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or higher) Project structure The process includes applying, passing qualifications, joining a project, completing assigned tasks, and receiving compensation. Project commitment is estimated at 10–20 hours per week during active periods, though actual workload may vary depending on project needs. Compensation Contributors may earn up to $76 per hour, based on expertise and pace. Compensation varies by project, reflecting the scope, complexity, and required skills. Other projects may have different pay rates depending on their specific requirements. Please submit your CV in English and indicate your English proficiency level.

We invite you to submit your CV in English, highlighting your English proficiency level.Mindrift collaborates with talented professionals to connect them with project-based AI opportunities in leading tech firms, focusing on the assessment, evaluation, and enhancement of AI systems. This is a project-based engagement, not a permanent position.Key Responsibilities:Craft original computational statistics challenges that emulate real-world mathematical research workflows.Develop problems that necessitate Python programming for solutions, utilizing libraries such as Numpy, SciPy, and Sympy.Ensure challenges are computationally demanding, requiring extended timeframes to solve manually (days/weeks).Formulate problems that necessitate complex reasoning chains within domains like number theory, combinatorics, graph theory, and numerical analysis.Base issues on authentic research obstacles or practical applications from mathematical fields.Validate solutions through Python, using standard mathematical libraries.Clearly document problem statements and provide verified correct answers.Ideal Candidate Profile:A degree in Statistics or a related area.Proficient in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is acceptable.At least 2 years of relevant professional experience in applied research or teaching.Strong command of written English (C1 or higher).Holding professional certifications (e.g., CMME, SAS Certification, CAP) and experience with international or applied projects is advantageous.Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Commitment:Tasks are expected to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $73 per hour, contingent upon their contribution level and pace. Compensation varies across projects based on their scope, complexity, and required expertise; other projects may offer different earning potential based on their specific requirements.

We invite you to submit your CV in English, detailing your level of English proficiency.At Mindrift, we connect skilled professionals with project-based opportunities in AI for top technology firms, emphasizing the testing, evaluation, and enhancement of AI systems. Note that engagement is project-based and not a permanent position.Role OverviewThis role encompasses a variety of tasks tailored to each project, including:Creating complex mathematics problems that mirror real-world applications;Assessing AI solutions for accuracy, underlying assumptions, and limitations;Validating calculations or simulations utilizing Python libraries (NumPy, Pandas, SciPy);Refining AI reasoning to meet industry-standard logical frameworks;Implementing structured scoring criteria for multi-step mathematical problems.Candidate ProfileThis position is ideal for mathematicians with Python experience who are interested in part-time, non-permanent projects. The ideal candidates should possess:A degree in Mathematics or a related field, such as Algebra, Calculus, or Number Theory;A minimum of 3 years of professional experience in mathematics;Proficiency in English at a strong written level (C1/C2);Advanced Python skills for numerical validation;A reliable internet connection.Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience with international or applied projects will be advantageous.ProcessSteps to engage: Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.Project CommitmentFor this role, tasks are projected to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload.CompensationPaid contributions, with rates up to $55/hour*Compensation may include fixed project rates or individual rates based on project specifications;Some projects may offer incentive payments.*Note: Rates are subject to variation based on expertise, skills assessment, location, project requirements, and other factors. Higher rates may be available for highly specialized professionals.

Toloka AI seeks a Freelance Mathematics Expert - AI Trainer to support AI algorithm development. This contract position is remote, open to candidates based in Iowa, United States. Role overview This role centers on using mathematics knowledge to help build and refine AI models. Projects often blend elements of education and technology, offering a chance to work at the intersection of both fields. What you will do Use mathematics expertise to guide AI model improvement Participate in projects that link educational content with technology Requirements Solid background in mathematics Interest in artificial intelligence and its practical uses Location This is a remote role for candidates residing in Iowa, United States.

To apply, please submit your CV in English, along with your English proficiency level.Mindrift connects skilled professionals with project-based AI opportunities at leading tech firms, emphasizing the testing, evaluation, and enhancement of AI systems. This role is project-based and does not constitute permanent employment.Role OverviewEach project presents unique challenges, with contributors tasked to:Craft original computational engineering problems that replicate authentic engineering workflows;Design issues requiring Python programming to perform engineering calculations and simulations;Ensure the problems are computationally intensive, utilizing numerical methods or iterative solutions;Develop challenges focused on system design, optimization, and analysis;Base problems on actual research challenges or practical engineering applications;Validate solutions using Python with standard engineering libraries;Clearly document problem statements and provide verified correct answers.Candidate ProfileThis opportunity is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidates will possess:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, and domain-specific libraries is also acceptable;A minimum of 2 years of professional experience in applicable settings such as applied, research, or teaching;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Get InvolvedApply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject CommitmentDuring active phases, tasks are projected to require approximately 10–20 hours per week, depending on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $69 per hour, contingent on their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Please note that other projects on the platform may offer varying pay scales based on specific requirements.

Please submit your CV in English, including your English proficiency level.Mindrift connects talented professionals with project-based AI opportunities for top tech companies, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based engagement rather than permanent employment.What You’ll Be Doing:Each project will involve unique challenges, with contributors expected to:Craft original computational engineering challenges that reflect real-world engineering workflows;Design problems that necessitate Python programming for engineering calculations and simulations;Ensure challenges are computationally demanding and require numerical methods or iterative approaches;Formulate problems centered around system design, optimization, and analytical techniques;Base scenarios on actual research issues or practical engineering applications;Verify solutions using Python with recognized engineering libraries;Clearly document problem statements and provide verified accurate solutions.What We’re Looking For:This role is ideal for engineers with Python expertise who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Mechanical Engineering or a related discipline;Proficiency in Python for numerical validation; equivalent experience in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata is acceptable;At least 2 years of professional experience in applied, research, or teaching roles;Familiarity with practical engineering constraints and approximations;Strong command of written English (C1+ level);Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Expectations:During active phases, tasks are estimated to require approximately 10–20 hours per week, based on project needs. This is an estimation and not a guaranteed workload.Compensation:On this project, contributors can earn up to $69 per hour, depending on their contribution level and pace. Compensation varies by project based on scope, complexity, and required expertise. Note that other projects on the platform may offer different earning levels based on their specific requirements.

Are you a marketing and sales professional passionate about influencing the future of artificial intelligence? As large-scale language models transition from sophisticated chatbots to powerful business insight and customer engagement tools, we believe that high-quality training data is essential. Your expertise will help shape tomorrow's AI, enhancing world-class marketing strategies, adapting to emerging market trends, and refining sales processes for professionals across various sectors. We are seeking marketing and sales specialists who excel in areas such as market research, brand strategy, customer segmentation, digital marketing, sales funnel optimization, lead generation, CRM management, competitive analysis, content marketing, and sales forecasting. You will engage with advanced language models on critical topics like campaign planning, buyer behavior analysis, product positioning, social media strategies, sales enablement, and pipeline management—documenting all challenges encountered to strengthen model reasoning. Your day-to-day responsibilities will include interacting with the model on marketing scenarios and sales strategy inquiries, verifying factual accuracy and logical coherence, tracking reproducible error traces, and recommending enhancements to our prompt engineering and evaluation metrics. A Bachelor’s or Master’s degree in marketing, business, communications, or a related field is preferred. A proven track record in executing marketing campaigns, achieving sales targets, or managing CRM projects will indicate your fit for this role. Effective communication, showcasing your thought process, is crucial. Are you ready to leverage your marketing and sales expertise to contribute to the knowledge base of tomorrow's AI? Apply today and help educate the model that will, in turn, educate the world. We offer a competitive pay range of $8 to $65 per hour, with the specific rate determined based on your experience, expertise, and geographical location. Please note that as a contractor, you will need to provide a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.