Freelance Data Annotator - AI Trainer

Role overview Toloka AI seeks a Freelance English Writer to support the training of artificial intelligence systems. This remote role centers on crafting clear and accurate written content that helps AI models better understand the nuances of English. What you will do Produce written materials to guide AI systems in recognizing language patterns, tone, and c…

Please submit your resume in English and include your English proficiency level. Toloka Annotators brings together people from around the world to contribute to freelance online tasks that help improve artificial intelligence. The platform connects skilled individuals with generative AI projects from leading technology companies, aiming to advance AI by including diverse perspectives and experiences. Role overview As a Freelance AI Trainer – English Annotator, you will support AI systems by helping them better understand and interpret information. Projects can include rating AI-generated content, checking for factual accuracy, or comparing different responses. The type and frequency of tasks depend on current project availability. Main responsibilities Review and analyze datasets, which may include text, images, or videos. Label or categorize content according to detailed project guidelines. Identify and report content that is factually incorrect, sensitive, inappropriate, or unclear. Project details This freelance position is project-based. Tasks are available only when projects are active, and invitations to participate depend on your profile and current project needs. Compensation Pay rates depend on project scope and required expertise. AI trainers can earn up to $23 per hour.

toloka-ai is hiring a Freelance Junior Journalist to join its AI training projects. This remote role is based in New York, New York, and focuses on producing and selecting content that supports the development of AI systems. Key responsibilities Write and edit material used to train machine learning models Curate quality content that improves how AI systems understand and perform tasks Help refine AI technology through your writing contributions Location details This position is fully remote, with a base in New York, New York, United States.

Toloka AI is seeking a freelance Biology and Python Specialist to help train and develop AI models focused on biology. This contract role is fully remote and open to candidates based in the United States, including New York. Role overview This position centers on applying biological knowledge and Python skills to support the creation and improvement of AI systems. The work involves contributing to projects that use artificial intelligence in biological contexts. Location This is a remote freelance role. Candidates may work from anywhere in the United States.

Mindrift connects experienced professionals with project-based roles in artificial intelligence, focusing on testing and improving AI systems for leading technology companies. This is a freelance, non-permanent position based remotely in New York, United States. Role overview As an Expert in Chemistry & Python, freelance AI trainers at Mindrift design and validate computational chemistry challenges. These projects require contributors to: Create advanced computational chemistry problems that reflect real research workflows Develop scenarios requiring Python programming to solve, using libraries such as numpy, scipy, and chemistry-specific packages Ensure that problems are computationally intensive and not feasible to solve manually within days or weeks Incorporate complex reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Base tasks on real-world research challenges or practical applications in chemistry Validate solutions with Python, following standard computational chemistry methods Document challenges clearly and provide accurate, verified answers Requirements Degree in Chemistry or a 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 professional experience in applied chemistry, research, or teaching Understanding of numerical methods in chemistry Familiarity with computational chemistry concepts and methodologies Strong written English skills (C1 level or above) Process The typical process includes: apply, meet qualifications, join a project, complete assigned tasks, and receive payment. Time commitment Project work generally requires about 10–20 hours per week during active phases. Actual hours may vary depending on project needs and are not guaranteed. Compensation Earnings can reach up to $76 per hour, depending on expertise and pace. Compensation may differ between projects based on their scope, complexity, and required skills. Application note: Please submit your CV in English and include your level of English proficiency.

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.

Mindrift specializes in connecting talented individuals with project-based AI opportunities across leading technology companies. Our focus is on enhancing, evaluating, and testing AI systems to ensure they perform optimally in real-world applications. Please note that participation is project-based and does not constitute permanent employment.Role OverviewAs a Procurement & Supply Chain Consultant, you will leverage your expertise to create realistic disruption scenarios, outline expected outcomes and mitigation strategies, and critically assess AI-generated recommendations for their accuracy, completeness, and relevance to business needs.Key ResponsibilitiesDevelop realistic supply chain disruption scenarios (e.g., supplier delays, quantity modifications, logistics hurdles, quality failures) based on actual manufacturing and procurement experiences.Specify expected outcomes and devise suitable mitigation strategies for each scenario.Analyze AI-driven responses and recommendations against practical business logic.Evaluate outputs for accuracy, completeness, and relevance within ERP frameworks, particularly Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba (SAP).Engage in structured data creation and validation tasks adhering to established guidelines and frameworks.QualificationsA minimum of 4 years of hands-on experience in procurement, supply chain management, or purchasing, preferably within a manufacturing context.Deep understanding of procurement workflows, including purchase orders, vendor management, inventory control, and production planning.Proficiency with ERP systems, particularly SAP, Oracle, or Microsoft Dynamics 365.Demonstrated ability to conceptualize and articulate supply chain disruption scenarios and appropriate mitigation strategies.Comprehensive knowledge of various disruption types such as delays, shortages, quality issues, and logistics challenges.Familiarity with Incoterms and logistics and transportation management.Understanding of Bill of Materials (BOM) structures and production planning processes.Experience with supplier performance metrics (On Time In Full (OTIF), lead times, quality scores).Analytical skills to assess AI outputs against established business logic.Experience in data validation, structured data entry, or annotation tasks.Excellent written communication skills in English.Application ProcessTo apply, please submit your application, pass the necessary qualifications, and join a project where you will complete assigned tasks and receive compensation for your contributions.Project TimelineThis project is estimated to require approximately 10-20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors may earn up to $60 per hour, based on experience and project 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.

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

We invite you to submit your CV in English, along with your level of English proficiency.At Mindrift, we connect talented specialists with dynamic, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role, not a permanent position.Role Overview:Each project will present unique challenges, but typical responsibilities may include:Crafting original computational physics problems that replicate authentic physics research workflows;Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);Ensuring the problems are computationally demanding and cannot be manually resolved within a reasonable timeframe (spanning days or weeks);Creating problems that require sophisticated reasoning in areas of mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems based on genuine research obstacles or practical applications from the field of physics;Validating solutions through Python using standard physics simulation libraries;Clearly documenting problem statements and providing confirmed correct answers.Desired Qualifications:This opportunity is ideal for physicists with Python experience seeking 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, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages considered equivalent;At least 2 years of relevant professional experience, including applied research or educational roles;Expertise in numerical simulation methodologies;Capability to design problems that reflect authentic physics research workflows;Innovative thinking in problem creation across various physics domains;Familiarity with physics modeling and approximation strategies;Exceptional written English skills (C1 or higher).Application Process:To apply, please submit your application, pass the necessary qualifications, join a project, complete assigned tasks, and receive compensation.Project Time Commitment:The anticipated workload for this project is approximately 10–20 hours weekly during active phases, contingent upon project requirements. Please note that this is an estimate and not a guaranteed workload.Compensation:Contributors have the potential to earn up to $76 per hour, based on their expertise and contribution pace. Compensation may vary by project, depending on scope, complexity, and required skills. Please be aware that other projects on the platform may have different compensation structures based on their specific needs.

Please submit your CV in English and specify your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for leading technology companies. This freelance, project-based role does not offer permanent employment. Role overview This freelance AI Trainer position is open to candidates based in New York or elsewhere in the United States. Projects focus on materials science and Python programming, with each assignment presenting new technical challenges. The work is fully remote. What you will do Design materials engineering problems that reflect real-world engineering workflows. Create tasks involving Python programming for calculations and simulations. Develop problems that require computationally intensive approaches, such as numerical methods or iterative solutions. Build scenarios related to system design, optimization, and analysis. Base problems on authentic research challenges or practical engineering applications. Validate solutions in Python, using established engineering libraries. Document problem statements clearly and provide accurate, verified solutions. Requirements Degree in Material Science or a closely related discipline. Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus. Minimum 2 years of professional experience (applied, research, or teaching). Strong understanding of practical engineering constraints and approximations. Excellent written English at C1 level or above. Project workflow Application → Qualification(s) → Project Engagement → Task Completion → Payment Time commitment Expect to dedicate roughly 10–20 hours per week during active project periods. Workload may vary depending on project needs and is not guaranteed. Compensation Rates can reach up to $76 per hour, depending on expertise and contribution speed. Pay may differ by project, reflecting scope, complexity, and required skills.

This freelance, project-based role at Mindrift focuses on shaping how AI systems address real-world supply chain and procurement challenges. Work is fully remote, with candidates based in New York, United States. Mindrift partners with technology companies to test, evaluate, and improve AI tools. As a Supply Chain Consultant - AI Trainer, the main responsibility is to use deep industry expertise to guide AI understanding of complex business scenarios. Role overview Consultants in this role develop realistic supply chain disruption scenarios drawn from manufacturing and procurement experience. Tasks include outlining possible responses, defining expected outcomes, and reviewing AI-generated recommendations for accuracy and business relevance. The work also involves assessing AI outputs within ERP systems such as Microsoft Dynamics 365, Coupa, Jaggaer, and Ariba/SAP, and helping to create and validate structured data according to set guidelines. What you will do Create supply chain disruption scenarios based on real manufacturing and procurement issues, including supplier delays, quantity changes, logistics problems, and quality failures. Define expected results and propose mitigation strategies for each scenario. Review AI-generated recommendations, checking them against established business logic and supply chain best practices. Assess outputs for accuracy, completeness, and relevance, particularly in the context of ERP systems. Contribute to structured data creation and validation following detailed frameworks. Requirements At least 4 years of hands-on experience in procurement, supply chain, or purchasing, preferably in manufacturing. Strong grasp of procurement workflows, including purchase orders, vendor management, inventory, and production planning. Direct experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365. Ability to design and analyze disruption scenarios and mitigation strategies. Understanding of disruption types: delays, shortages, quality issues, and logistics challenges. Knowledge of Incoterms and transportation management. Familiarity with Bill of Materials (BOM) structures and production planning. Experience analyzing supplier performance metrics like OTIF, lead times, and quality scores. Analytical skills for evaluating AI outputs against business logic. Background in data validation, structured data entry, or annotation tasks. Excellent written English communication skills. How participation works Apply Pass qualification(s) Join a project Complete assigned tasks Receive compensation Time commitment During active project phases, tasks usually require about 10-20 hours per week. Actual workload may vary depending on project needs. Compensation Project participants can earn up to $60 per hour, depending on experience and project requirements.

We invite you to submit your CV in English, highlighting your proficiency level.Mindrift specializes in connecting talented professionals with project-based AI opportunities for top-tier tech companies, focusing on the evaluation, testing, and enhancement of AI systems. This is a project-based role and not a permanent position.Key Responsibilities:Participants in this role will engage in various tasks, including:Crafting prompts to challenge AI capabilities;Assessing AI-generated outputs for accuracy, underlying assumptions, and logical coherence;Enhancing AI reasoning to ensure alignment with foundational principles and accepted standards;Utilizing structured scoring criteria to evaluate complex problem-solving scenarios.Qualifications:This position is ideal for legal consultants and attorneys with substantial experience in US law who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in law (Bachelor's, J.D., LLM, FLLM) relevant to the US legal context;A minimum of 2 years of legal practice experience within US jurisdiction;Exceptional written English skills (C1/C2 level);A reliable internet connection.Process Overview:Apply → Complete qualifications → Join a project → Execute tasks → Receive compensation.Project Commitment:This project anticipates a commitment of approximately 10–20 hours per week during active phases, subject to project demands. Please note this is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $75 per hour, depending on their experience and contribution pace. Compensation may vary across projects based on scope, complexity, and expertise required. Please be aware that other projects on the platform may feature different earning potentials based on their specific needs.

We invite you to submit your CV in English and specify your level of English proficiency.Mindrift connects talented specialists with project-based AI opportunities for top technology firms, aiming to enhance the testing, evaluation, and advancement of AI systems. Please note that this is a project-based engagement, not a permanent role.Overview of the RoleWhile each project presents distinct challenges, contributors may:Devise original computational physics problems that emulate authentic physics research workflows;Develop problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensure that problems are computationally demanding and cannot be solved manually within practical timeframes (days/weeks);Create problems that require complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on genuine research challenges or practical applications within the field of physics;Validate solutions using Python alongside standard physics simulation libraries;Clearly document problem statements and provide verified correct answers.Qualifications We SeekThis position is ideally suited for quantum researchers proficient in Python, open to part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; equivalent skills in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language are acceptable;At least 2 years of professional experience in applied research or teaching;Experience with numerical simulation techniques;Capability to design problems that reflect real-world physics research workflows;Innovative thinking in problem design across various physics sectors;Familiarity with physics modeling and approximation strategies;Strong written communication skills in English (C1 level or higher).How the Process WorksApply → Meet qualifications → Join a project → Complete assigned tasks → Receive compensation.Project Time CommitmentTasks for this project are anticipated to require approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $76 per hour, based on their level of expertise and contribution pace. Compensation may vary by project, reflecting its scope, complexity, and required skills. Note that other projects on the platform may offer different compensation rates based on their specific requirements.

Please submit your CV in English and specify your English proficiency level. Mindrift offers project-based freelance roles for professionals interested in advancing artificial intelligence. The platform partners with leading tech companies to test, evaluate, and improve AI systems. This is a freelance, project-based role and not a permanent position. Role overview The Freelance Legal Advisor (US Bar Admitted) - AI Trainer position focuses on strengthening AI legal reasoning and performance. Work is fully remote, with the role based in New York, NY, United States. What you will do Create legal prompts that test and challenge AI systems Review AI-generated legal outputs for accuracy, logical structure, and underlying assumptions Refine AI reasoning frameworks to ensure alignment with established legal principles and standards Apply structured scoring to evaluate multi-step legal problem-solving by AI Requirements Juris Doctor (J.D.), Master of Laws (LL.M.), or a US-recognized law degree Minimum of 2 years legal practice within the United States Strong written English skills at C1 or C2 level Reliable internet connection Who this role suits This role is well suited for legal consultants or attorneys with US law experience who want flexible, part-time project work. How to apply To join, candidates submit an application, complete required qualifications, join a project, finish assigned tasks, and receive compensation. Project commitment During active projects, contributors typically dedicate 10 to 20 hours per week. Actual time may vary based on project needs. Compensation Earnings can reach up to $75 per hour, depending on experience and pace. Compensation varies by project scope, complexity, and required expertise. Other opportunities on the platform may offer different rates depending on specific requirements.

About WRITERWRITER is the premier platform where leading enterprises harness the power of AI to streamline their operations. Our mission is to enhance human potential through advanced superintelligence, demonstrating its feasibility with a trustworthy AI solution that bridges IT and business teams, facilitating transformative change across organizations. WRITER’s comprehensive platform empowers hundreds of companies, including Mars, Marriott, Uber, and Vanguard, to develop and deploy AI agents tailored to their unique datasets, supported by our enterprise-grade LLMs. With a valuation of $1.9B and support from top-tier investors such as Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is quickly establishing itself as the frontrunner in the field of enterprise generative AI.Founded in 2020, with offices in San Francisco, New York City, Austin, Chicago, and London, we are a dynamic team focused on innovation and speed. We seek intelligent, dedicated builders and innovators to join us in shaping the future of work powered by AI. About the RoleAs a Site Reliability Engineer at WRITER, you will play a critical role in ensuring the availability, performance, and reliability of our platform, which is essential for our mission to enhance human capabilities with superintelligence. Your work will directly influence every enterprise customer reliant on our AI-powered workflows. This position goes beyond routine maintenance; it involves proactively identifying and resolving intricate systemic challenges and establishing the framework necessary for our rapid growth and the evolving needs of enterprise generative AI. You will develop resilient systems, automate processes throughout the stack, and advocate for reliability best practices, directly contributing to our ambitious product roadmap and ensuring our clients have continuous access to the powerful tools they require.This is a hybrid role based in either our New York City or London office, reporting to the Director of Engineering.‍ ResponsibilitiesAutomate operational tasks and infrastructure management by creating robust tools and platforms using languages such as Python, Go, or similar, significantly minimizing manual workload across our production environment.Design and implement scalable, fault-tolerant infrastructure solutions on leading public cloud platforms (AWS, GCP, Azure) to support WRITER's swiftly growing, high-traffic AI platform.Take ownership of the reliability, performance, and efficiency of WRITER’s core services, establishing and maintaining rigorous Service Level Objectives (SLOs) and Error Budgets.

About WRITERWRITER is at the forefront of AI-driven innovation, empowering leading enterprises to harness the potential of artificial intelligence in their operations. Our mission is to enhance human capabilities through superintelligence. We are making this vision a reality with robust and reliable AI solutions that bridge the gap between IT and business, driving transformative results across organizations. With our comprehensive platform, renowned companies such as Mars, Marriott, Uber, and Vanguard are successfully developing AI agents tailored to their unique data needs, all powered by WRITER's enterprise-grade LLMs. As a company valued at $1.9 billion and supported by prestigious investors like Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is establishing itself as a dominant force in the realm of generative AI.Founded in 2020 and with headquarters in San Francisco, New York City, Austin, Chicago, and London, our team thrives on innovation and agility. We seek intelligent and dedicated individuals to join us in shaping the future of work through AI. About the RoleIn this pivotal role as a Security Engineer focused on applications at WRITER, you will establish the security framework that safeguards our AI systems, which serve some of the most renowned brands globally. You will collaborate closely with engineering teams, integrating security seamlessly into every line of code while ensuring our platform remains powerful and reliable.This is a unique opportunity to influence the security landscape of enterprise AI applications. You will engage in threat modeling for our LLM architectures and develop automated security controls that scale as our platform expands. Your approach will focus on innovative solutions that enhance security rather than restrict it. You will face challenges that few security engineers encounter, such as securing AI agents, protecting training data pipelines, and designing controls for emerging systems.This position offers flexibility, allowing you to work remotely within the US or in a hybrid capacity from our San Francisco or New York City offices, reporting directly to the head of security engineering.

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.

Kindly submit your CV in English and specify your English proficiency level.Mindrift connects talented specialists with project-based AI opportunities for leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.Project OverviewEach project presents unique challenges, where contributors might be involved in:Creating original computational engineering problems that mimic real-world engineering workflows;Formulating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally intensive, requiring numerical methods or iterative solutions;Developing challenges related to system design, optimization, and analysis;Grounding problems on practical research challenges or real-world engineering applications;Validating solutions using Python alongside standard engineering libraries;Clearly documenting problem statements and providing verified correct answers.Qualifications We SeekThis position is ideal for engineers experienced in Python who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Electrical Engineering or a related field;Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries is also acceptable;At least 2 years of professional experience, whether in applied, research, or teaching contexts;A solid understanding of practical engineering constraints and approximations;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are a plus.How the Process WorksApply → Pass qualifications → Join a project → Complete tasks → Get compensated.Project Time ExpectationsDuring active phases, tasks are estimated to require approximately 10–20 hours per week, depending on project demands. This estimate is not a guaranteed workload and applies only while the project is active.CompensationContributors can earn up to $69 per hour, contingent on their experience and contribution pace. Compensation varies by project based on its scope, complexity, and required expertise. Please note that other projects on the platform may offer different compensation levels according to their specific requirements.