Biology & Python Specialist - Freelance AI Trainer

Toloka AI is looking for a Freelance AI Trainer with a strong background in Biology and Python. This remote role, open to candidates based in South Korea, centers on supporting the development of AI solutions through subject matter expertise and technical skill. Role overview This position involves collaborating with a team to improve AI models. The work foc…

Mindrift connects skilled professionals with project-based roles supporting AI development for leading technology companies. This Mathematics and Python Specialist position focuses on creating and validating challenging computational mathematics problems to help test and improve AI systems. All work is remote and project-based, not permanent employment. What you will do Develop original computational mathematics problems modeled on authentic research workflows. Create tasks that require Python programming to solve, using libraries such as Numpy, SciPy, and Sympy. Design challenges that are too complex for manual solution within a reasonable timeframe. Formulate problems in areas like number theory, combinatorics, graph theory, and numerical analysis. Base problems on real research challenges or practical mathematical scenarios. Verify solutions using Python and standard mathematical libraries. Document problem statements clearly and provide validated answers. Requirements Degree in Mathematics (Pure or Applied) or a related field. Proficiency in Python for numerical validation. Knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also considered. At least 2 years of professional experience in applied mathematics, research, or teaching. Experience with numerical methods and symbolic computation. Ability to design problems reflecting real-world mathematical research. Understanding of computational complexity theory. Strong written English skills (C1+ level). Project details Project-based commitment; not a permanent role. Estimated 10–20 hours per week during active project phases. Actual workload may vary. Compensation Earn up to $35 per hour, depending on expertise and contribution speed. Rates may vary by project based on complexity and required skills. Application process Apply with an English CV, including your English proficiency level. Pass qualifications. Join a project. Complete assigned tasks. Receive compensation.

Please submit your CV in English and specify your English proficiency level. Mindrift offers freelance, project-based work for professionals skilled in materials science and Python. Assignments focus on assessing and improving AI systems for leading technology companies. This is not a permanent position, but rather a flexible opportunity to contribute expertise on a per-project basis. Role overview Material Scientists with Python experience will design and validate engineering challenges for AI projects. Tasks change from project to project, but often include: Creating materials engineering problems that mirror real-world scenarios Developing tasks requiring Python programming for simulations or calculations Ensuring challenges involve computationally intensive work, such as using numerical methods or iterative solutions Formulating problems focused on system design, optimization, or analytical techniques Basing assignments on current research topics or practical engineering cases Validating solutions using Python and standard engineering libraries Documenting problem statements and providing clear, accurate solutions Requirements Degree in Material Science or a related discipline Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is a plus At least 2 years of relevant experience in industry, research, or education Solid grasp of practical engineering constraints and approximations Excellent written English (C1 level or above) How the process works Apply Pass qualification(s) Join a project Complete assigned tasks Receive payment Time commitment Expect to spend about 10 to 20 hours per week during active project periods. Actual hours depend on project needs and may vary outside of assigned phases. Compensation Contributors can earn up to $35 per hour, depending on skills, speed, and project complexity. Rates may differ for other assignments on the platform based on their requirements. Location: Remote , South Korea

toloka-ai seeks a freelance AI trainer with experience in civil engineering and Python programming. This contract position is remote and open to candidates based in South Korea. Key responsibilities Apply civil engineering expertise and Python skills to train and support AI systems Contribute to maintaining high quality standards for AI solutions Who will thrive in this role This role suits those who blend technical knowledge with a genuine interest in technology and education. It offers an opportunity to play a part in advancing artificial intelligence.

Please submit your CV in English, including your proficiency level in English.At Toloka AI, we connect talented specialists with exciting project-based AI opportunities for leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems. This role is project-based and does not constitute permanent employment.What You Will Do:As a contributor, you will engage in unique tasks tailored to each project, including:Crafting original computational physics problems that emulate real-world physics research workflows;Designing problems that necessitate Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring that the problems are computationally demanding and cannot be solved manually in a reasonable timeframe (e.g., days or weeks);Creating problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications from the field of physics;Validating solutions using Python and standard physics simulation libraries;Documenting problem statements in detail and providing verified correct solutions.Who We Are Looking For:We seek individuals with a strong background in physics and Python, willing to engage in part-time, non-permanent projects. Ideally, candidates should possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, with knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other programming languages being acceptable;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation methods;The ability to design problems reflective of genuine physics research workflows;Creative problem-solving skills across various physics disciplines;Familiarity with physics modeling and approximation techniques;Exceptional written English skills (C1 or higher).How the Process Works:Apply → Pass qualifications → Join a project → Complete tasks → Get compensatedProject Expectations:For this project, it is estimated that you will need to commit approximately 10–20 hours per week during active phases, based on the specific project requirements. This is an estimate and not a guaranteed workload.Compensation:Participants can earn up to $35 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please be aware that other projects on our platform may offer different earning potentials.

Please submit your CV in English and include your English proficiency level. Mindrift connects skilled specialists with project-based AI work for top technology companies. This freelance role focuses on improving AI systems through careful problem creation, testing, and evaluation. The position is project-based and does not offer permanent employment. What you will do Create original computational chemistry problems that reflect real research workflows Design challenges requiring Python programming solutions, using libraries such as NumPy, SciPy, and chemistry-specific packages Develop problems that are computationally intensive and cannot be solved manually in a reasonable time Write tasks involving advanced reasoning in areas like physical chemistry, quantum chemistry, and molecular modeling Ensure problems relate to actual research challenges or practical chemistry applications Validate solutions using Python and standard computational chemistry methods Document problem statements clearly and provide verified correct answers Requirements Degree in Chemistry or a closely related field Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar languages is acceptable At least 2 years of relevant experience (applied, research, or teaching) Understanding of numerical methods in chemistry Knowledge of computational chemistry concepts and methods Strong written English skills (C1 level or higher) Project details Part-time, non-permanent, project-based work Estimated 10–20 hours per week during active project phases (actual workload may vary) Compensation Earn up to $35 per hour, depending on experience and contribution speed. Pay rates vary by project and reflect the scope, complexity, and required expertise. Application process Apply Pass qualifications Join a project Complete assigned tasks Receive payment

We invite you to submit your CV in English, including your English proficiency level. At Mindrift, we specialize in connecting talented professionals with project-based AI opportunities at leading tech firms, with a strong focus on testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.Opportunity OverviewEach project presents unique challenges, and contributors may be required to:Design innovative computational statistics problems that mimic authentic mathematical research workflows;Develop problems that necessitate Python programming to solve using libraries such as Numpy, SciPy, and Sympy;Create problems that are computationally demanding and cannot be feasibly solved manually within a reasonable timeframe (days/weeks);Formulate problems that involve complex reasoning in domains like number theory, combinatorics, graph theory, and numerical analysis;Base problems on actual research challenges or practical applications from mathematical practice;Verify solutions using Python with standard mathematical libraries;Clearly document problem statements and provide verified correct answers.Qualifications We SeekThis role is ideal for statistics experts with Python experience who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Statistics or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language is acceptable;At least 2 years of professional experience, whether in applied, research, or teaching roles;Excellent written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are considered advantageous.How the Process Works1. Apply → 2. Pass qualifications → 3. Join a project → 4. Complete tasks → 5. Get paidProject Time ExpectationsFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, based on project demands. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $39 per hour, subject to their contribution level and pace. Compensation may vary across projects based on scope, complexity, and expertise required. Please note that other projects on the platform may offer different earning levels based on their specifications.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.At Mindrift, we bridge the gap between specialists and project-based AI opportunities for prominent technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.Opportunity Overview:Each project encompasses distinct tasks; however, contributors may:Craft original material engineering problems that replicate authentic engineering workflows;Develop challenges that necessitate Python programming for solving engineering calculations and simulations;Ensure that problems are computationally demanding and require numerical methods or iterative solutions;Design problems focused on system design, optimization, and analysis;Base problems on real-world research challenges or practical applications from the engineering field;Utilize Python with established engineering libraries to verify solutions;Clearly document problem statements and provide verified correct answers.Qualifications Sought:This role is ideal for material scientists and engineers with Python experience, who are open to part-time, non-permanent roles. Candidates should possess: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, or knowledge of any programming language is acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching experience;An understanding of practical engineering constraints and approximations;Strong written English skills (C1+).Project Participation Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive compensationProject Time Commitment:Tasks are estimated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and not a guaranteed workload during project activity.Compensation:Contributors can earn up to $35 per hour, contingent upon their level of expertise and pace of contribution. Compensation may vary across projects, depending on their scope, complexity, and required expertise, and other projects on the platform may offer different earning levels.

We invite you to submit your CV in English, highlighting your English proficiency level.At Mindrift, we connect talented professionals with exciting project-based AI opportunities for top technology firms, focusing on the assessment, evaluation, and enhancement of AI systems. Please note that participation is project-based and not considered permanent employment.Opportunity OverviewEach project presents distinct tasks; however, contributors might engage in the following activities:Designing innovative computational engineering problems that reflect authentic engineering workflows;Creating problems that necessitate Python programming for engineering calculations and simulations;Ensuring problems are computationally demanding and involve numerical methods or iterative solutions;Developing problems that include system design, optimization, and analysis;Base problems on real-world research challenges or practical engineering applications;Validating solutions using Python with established engineering libraries;Clearly documenting problem statements while providing verified correct answers.Ideal Candidate ProfileThis role is suited for engineers with Python expertise who are open to part-time, non-permanent project work. The ideal candidate will possess:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming language is also acceptable;A minimum of 2 years of professional experience in applied, research, or teaching environments;An understanding of practical engineering constraints and approximations;Strong written English communication skills (C1+ level);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Application ProcessSteps include: Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time CommitmentFor this project, expected task commitments are around 10–20 hours per week during active project phases, depending on specific project requirements. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $37 per hour, contingent upon their level of expertise and contribution pace. Compensation varies by project based on scope, complexity, and required skills. Note that other platform projects may present different earning levels based on their specific requirements.

We invite you to submit your CV in English, including your proficiency level in the language.At Mindrift, we specialize in connecting experts with project-based AI opportunities in collaboration with leading technology firms, centering on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based and not aimed at permanent employment.Project OverviewEach project presents unique challenges, and contributors may be tasked with:Designing innovative computational engineering problems that mimic genuine engineering workflows;Creating challenges that necessitate Python programming for engineering calculations and simulations;Ensuring that these problems are computationally demanding, requiring numerical methods or iterative solutions;Developing problems related to system design, optimization, and analysis;Grounding problems in actual research challenges or practical engineering applications;Verifying solutions through Python, utilizing standard engineering libraries;Documenting problem statements with clarity and providing verified accurate answers.Qualifications We SeekThis role is ideal for engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;A minimum of 2 years of professional experience, including applied, research, or teaching roles;A solid understanding of practical engineering constraints and approximations;Strong written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.Process OverviewStep 1: Apply → Step 2: Pass qualifications → Step 3: Join a project → Step 4: Complete tasks → Step 5: Get compensated.Project Time CommitmentDuring active phases, tasks are estimated to require approximately 10–20 hours per week, based on project requirements. This is an estimate and does not guarantee a fixed workload.Compensation DetailsContributors can earn up to $37 per hour, depending on their level of expertise and contribution pace. Compensation varies across projects based on scope, complexity, and required skills. Please note that other projects may offer different earning levels based on their specific requirements.

Please submit your CV in English and indicate your level of English proficiency.Mindrift specializes in connecting experts with project-based AI opportunities for top-tier tech companies, with a focus on testing, evaluating, and enhancing AI systems. Note that participation is project-based and does not constitute permanent employment.Opportunity OverviewEach project will present distinct tasks, and contributors may be involved in:Designing unique computational physics problems that replicate authentic physics research workflows;Creating problems that necessitate Python programming for resolution (utilizing libraries like Numpy, SciPy, Sympy);Ensuring problems are computationally intensive and infeasible to solve manually within reasonable timeframes (days/weeks);Developing problems that involve complex reasoning chains in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in actual research challenges or practical applications derived from physics;Validating solutions through Python with standard physics simulation libraries;Clearly documenting problem statements alongside verified correct answers.Candidate ProfileThis opportunity is ideal for optical engineers experienced in Python and interested in part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or any programming language will be considered equivalent;At least 2 years of professional experience, whether in applied research or teaching;Experience with numerical simulation techniques;Capability to design problems that reflect genuine physics research workflows;Innovative thinking in problem design across various physics domains;Knowledge of physics modeling and approximation methods;Strong written English skills (C1+ level).Application ProcessTo apply, please submit your application, pass the required qualifications, join a project, complete assigned tasks, and receive compensation.Time CommitmentThe project is expected to demand approximately 10–20 hours per week during active phases, contingent upon project specifications. This is an estimate and not a guaranteed workload.CompensationContributors can earn up to $35 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on their scope, complexity, and required expertise.

To apply, please submit your CV in English and specify your English proficiency level.Mindrift is a pioneering platform that connects talented specialists with exciting project-based AI opportunities offered by leading technology companies. Our primary focus is on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and does not involve permanent employment.Opportunity Overview:Each project presents unique challenges, and contributors may engage in the following tasks:Design innovative computational physics problems that emulate authentic physics research workflows;Create programming challenges requiring Python solutions (using libraries such as Numpy, SciPy, and Sympy);Ensure that problems are computationally demanding, requiring days or weeks to solve manually;Develop challenges that necessitate complex reasoning in fields such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;Base problems on real-world research issues or practical applications in physics;Validate solutions using Python with established physics simulation libraries;Clearly document problem statements and provide verified, accurate solutions.Candidate Profile:This position is ideal for quantum researchers with Python experience, who are interested in flexible part-time, non-permanent projects. Preferred qualifications include:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is acceptable;A minimum of 2 years of professional experience in applied research or teaching;Experience with numerical simulation methodologies;Ability to craft problems that reflect real physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation techniques;Strong written communication skills in English (C1 or higher).Application Process:Apply → Meet qualification requirements → Join a project → Complete tasks → Get compensatedProject Commitment:For this project, tasks are projected to require approximately 10-20 hours per week during active phases, depending on project needs. This estimate is not a guaranteed workload and applies only while the project is ongoing.Compensation:Contributors can earn up to $35 per hour, contingent upon experience and contribution pace. Note that compensation may vary across projects depending on their complexity and required expertise.

Are you a passionate and experienced Mongolian language expert ready to influence the future of artificial intelligence? As large-scale language models advance, they are transitioning from basic chatbots to sophisticated systems that enhance learning, communication, and cultural awareness. By providing high-quality training data, you can help shape AI that offers more natural, accurate, and context-rich experiences for Mongolian speakers in education, accessibility, and global communication. We are seeking a highly qualified Mongolian Language Specialist to contribute linguistic depth, cultural insight, and meticulous attention to detail in the development of training data. You will engage with state-of-the-art AI tools, scrutinize and enhance Mongolian text outputs, and provide expert feedback on grammar, syntax, semantics, style, and cultural relevance to optimize model performance. Your typical day will involve reviewing and annotating Mongolian content, evaluating AI-generated outputs for fluency and accuracy, identifying and documenting error patterns, and collaborating with our team to refine prompts, evaluation methods, and linguistic guidelines. Fluency in Mongolian is essential, along with proven experience in translation, linguistics, language instruction, editing, or similar fields. Experience in training, coaching, or linguistic annotation is an advantage. Strong communication skills, cultural knowledge, and meticulous attention to detail are crucial. Are you ready to leverage your Mongolian language expertise to develop the AI tools of the future? Apply now and help create the models that will support millions of Mongolian speakers globally.

Role overview Toloka AI seeks a Freelance Junior Journalist - AI Trainer to join its team remotely from South Korea. This position focuses on creating and curating content that directly supports the training of AI models. Strong writing skills and a basic grasp of AI concepts are essential, as the work shapes the quality and performance of the technology. What you will do Write and edit content designed to improve AI systems Curate materials that aid in developing AI models Work closely with a global team, entirely online Who thrives here Individuals interested in both journalism and technology People who appreciate flexible, remote work arrangements Writers motivated to contribute to AI advancements Location and work style This remote role is open to candidates based in South Korea. Flexible hours help support a balanced work-life schedule.

Are you a fluent Korean speaker excited to influence the landscape of artificial intelligence? As large-scale language models transition from simple chatbots to sophisticated engines of linguistic and cultural comprehension, your contributions can help create high-quality training data. This data is essential for democratizing education, expediting research, and enhancing global communication across diverse languages and contexts. We need your linguistic expertise to power the next generation of AI. We are searching for individuals who possess a deep understanding of the intricacies of grammar, usage, spelling, tone, and cultural context in both formal and informal Korean. Your role will involve challenging advanced AI models by addressing linguistic edge cases, cultural nuances, translation ambiguities, and variations in phrasing. You'll document model shortcomings and provide clear guidance for improvements. On an average day, your responsibilities will include engaging in text-based exchanges with the AI model, assessing its responses for correctness and fluency, annotating linguistic patterns, testing comprehension across various Korean language inputs, and suggesting enhancements to prompts and evaluation techniques. Ideal candidates have a background in linguistics, translation, writing, localization, or education. Previous experience in Korean language instruction, editing, or quality assurance will be considered a significant asset. Clear communication and a thoughtful approach to language—explaining not only what is correct but also the reasoning behind it—are crucial. Are you ready to leverage your Korean fluency to help shape the future of AI? Apply now and play a vital role in training the model that will educate the world.

Toloka AI seeks a Freelance English Writer - AI Trainer for a remote contract role based in South Korea. This position blends creative writing with technology, focusing on original English content and supporting AI language model training. Responsibilities Create clear and engaging English text for a range of assignments Assist in developing and refining AI models that process and generate English language Who Succeeds in This Role Writers who like to experiment with tone, structure, and style Individuals curious about how technology learns from human-written examples Location This contract is open to candidates living in South Korea. All work is remote.

Are you a passionate science specialist fluent in Korean, ready to influence the future of artificial intelligence? As large-scale language models transition from conversational chatbots to powerful tools for scientific advancement, your expertise is vital to create high-quality training data that will democratize education, enhance research, and assist scientists and learners worldwide.We seek individuals who have a deep understanding of physical science, earth science, environmental science, chemistry, physics, astronomy, and scientific literacy. You will engage with advanced language models on intricate subjects such as energy transformation, atomic structure, planetary motion, ecological systems, the water cycle, and scientific inquiry. Your role will include documenting errors to refine model reasoning.On a typical day, you will interact with the AI on real-world scenarios, validate factual accuracy and logical consistency, capture reproducible errors, and propose enhancements to our prompt engineering and evaluation methods.An ideal candidate will hold a bachelor’s, master’s, or PhD in a science discipline. Experience in teaching, published research, laboratory or field studies, or science communication initiatives will demonstrate suitability. Proficiency in Korean and the ability to articulate your thought process clearly are essential.Are you ready to transform your scientific knowledge into the foundational knowledge for the next generation of AI? Apply now and start shaping the model that will educate the world.

Are you a STEM professional fluent in Korean, passionate about influencing the future of artificial intelligence? Large-scale language models are advancing beyond simple chatbots, becoming integral tools for scientific exploration and technical problem-solving. With your expertise, we can provide high-quality training data that will democratize access to top-tier education, align with groundbreaking research, and enhance productivity for engineers, scientists, and analysts globally. We are seeking dedicated STEM specialists who are deeply engaged in fields such as mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You will be tasked with challenging sophisticated language models on complex topics including thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling—meticulously documenting every failure to strengthen model reasoning. On a day-to-day basis, you will engage with the model on real-world STEM problem-solving scenarios and theoretical technical inquiries, ensuring factual accuracy and logical integrity, capturing reproducible errors, and proposing enhancements to our prompt engineering and evaluation metrics. A bachelor’s or master’s degree in a STEM discipline is preferred; experience in published research, engineering design, data analysis, or coding portfolios will be considered advantageous. Clear and metacognitive communication—illustrating your thought process—is crucial for this role. Are you ready to harness your STEM knowledge to contribute to the AI that will educate future generations? Apply now and help us shape the model that will shape the world. We offer a pay range of $8 to $65 per hour, with your exact rate determined based on your experience, expertise, and geographic location. Please note that as a contractor, you will need to provide your own secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Please submit your CV in English, including your English proficiency level.Mindrift bridges experts with project-based AI roles for prominent tech firms, concentrating on the evaluation and enhancement of AI systems. Engagements are project-based; this is not permanent employment.Role OverviewEach project presents distinct challenges, and contributors may be tasked with:Crafting innovative computational physics problems that replicate authentic research workflows;Designing Python-based solutions utilizing libraries such as Numpy, SciPy, and Sympy;Ensuring tasks are computationally demanding and cannot be solved manually in a reasonable timeframe (days/weeks);Creating problems requiring complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Formulating problems grounded in genuine research challenges or practical physics applications;Validating solutions through Python utilizing standard physics simulation libraries;Documenting problem statements comprehensively and providing verified correct answers.Desired QualificationsThis position suits physicists experienced in Python who are open to part-time, non-permanent projects. Ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or equivalent programming languages is acceptable;At least 2 years of relevant professional experience in applied research or teaching;Experience with numerical simulation techniques;Capability to design problems reflecting genuine physics research workflows;Creativity in problem formulation across various physics disciplines;Understanding of physics modeling and approximation methods;Strong command of written English (C1+).How the Process WorksApply → Meet qualifications → Join a project → Complete tasks → Receive paymentTime CommitmentFor this project, tasks are estimated to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is active.CompensationContributors can earn up to $35 per hour, depending on their expertise and contribution pace. Compensation varies across projects based on scope, complexity, and expertise required. Note that other projects on the platform may present different earning levels based on their specific requirements.

Are you a passionate expert in the Korean language ready to influence the future of artificial intelligence? As large-scale language models transition from smart chatbots to dynamic engines of linguistic exploration, your contribution as a Korean Language Specialist is crucial. By providing high-quality training data, you will play a pivotal role in making world-class education accessible, staying aligned with leading-edge research, and enhancing communication for Korean speakers globally. We seek professionals who have an in-depth understanding of Korean grammar, syntax, morphology, phonetics, semantics, and pragmatics. You will engage with advanced language models on intricate topics such as honorifics, sentence structures, verb conjugation, word order variations, regional dialects, idiomatic expressions, and script differences—diligently documenting each issue to strengthen the model's reasoning capabilities. Your daily tasks will involve conversing with the model on various language scenarios, verifying factual accuracy and logical consistency, capturing reproducible error traces, and proposing enhancements to our prompt engineering and evaluation metrics. The ideal candidate will possess a master's degree or PhD in Korean language, linguistics, or a closely related field. Experience in peer-reviewed publications, teaching, or hands-on linguistic analysis projects will be advantageous. Effective communication with a focus on metacognition—“showing your work”—is essential for this role. Are you ready to leverage your Korean language expertise to build the knowledge base for the AI of tomorrow? Apply now and start training the model that will educate the world.