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.

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, 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 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.

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 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 focuses on training algorithms and analyzing data, drawing on knowledge of biological concepts and Python programming. What you will do Apply Biology expertise to guide AI model development Use Python skills for data analysis and training tasks Work with team members to enhance model accuracy and performance Requirements Experience in Biology Proficiency in Python Ability to work remotely from South Korea

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.

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

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.

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.

Join us at Toloka AI as a Freelance Data Scraping Engineer specializing in Python. In this exciting remote role, you will develop and implement data scraping solutions to help drive our projects forward. Your expertise will enable our team to gather valuable insights from diverse data sources, enhancing our AI models and improving user experiences.

Toloka AI is looking for a Computer Science Specialist with advanced Python skills to join its team working on AI initiatives. This is a remote position available to candidates based in South Korea. Key responsibilities Develop and support AI projects using Python Use computer science concepts to enhance project results Collaborate with a team dedicated to artificial intelligence solutions Location This role is fully remote for residents of South Korea.

Are you a skilled Korean translator looking to make a significant impact on the future of artificial intelligence? As large-scale language models transition from basic chatbots to sophisticated linguistic engines, your expertise is vital. High-quality training data is the cornerstone of tomorrow's AI capabilities—enabling precise, contextually aware translations and fostering effective cross-cultural communication worldwide. We seek proficient Korean translators who possess a deep understanding of both Korean and English to evaluate and enhance AI-generated translations. Your role will involve ensuring grammatical accuracy, fluency, cultural relevance, and sensitivity to context. You will engage with idiomatic expressions, ambiguous phrases, and varying tones—both formal and informal—documenting model shortcomings and providing insights for improvement. On a typical day, you will assess and refine AI outputs, translate text between Korean and English in both directions, annotate errors, offer cultural or contextual insights, and suggest enhancements to prompts and evaluation methods. A background in professional translation, linguistics, localization, or language education is highly desirable. Experience in technical, literary, or media translation is an added advantage. Exceptional communication skills and the ability to clearly articulate translation choices are essential. Are you ready to leverage your translation skills to build the future of AI? Apply now and contribute to training the model that will educate the world. We offer a competitive hourly pay range of $8 to $65, with the exact rate reflecting your experience, expertise, and location. As a contractor, you will need a secure computer and high-speed internet; please note that company-sponsored benefits, including health insurance and PTO, do not apply.

Note: This position is available exclusively for individuals wishing to apply as 'Professional Research Personnel' under military service exception; those without military obligations are not eligible to apply.Upstage AI is a dynamic company dedicated to leveraging AI technology to address complex business challenges. Driven by our vision of 'Making AI Beneficial' and our mission to develop 'Artificial General Intelligence (AGI) for Work', we are focused on creating AI solutions that go beyond mere automation. Our efforts aim to revolutionize productivity through enhanced decision support and cost reduction.To realize this vision, Upstage AI continuously advances its core technology in Large Language Models (LLM). We rigorously assess and enhance model performance through benchmark metrics tracked by Global Frontier, while simultaneously building a Workspace Benchmark Set that reflects the actual needs of our clients to maximize model practicality and performance. Our commitment is to solve intricate issues in the industry while leading global technological standards.The LLM Post-training team focuses on key objectives: (1) enhancing knowledge and reasoning capabilities, (2) aligning with human preferences, and (3) improving agentic tool utilization performance. By employing scalable data construction methodologies, high-quality data filtering systems, and state-of-the-art learning techniques such as DPO, RLHF, and RLVR, we spearhead the development of world-class post-training technologies. Joining this team means you will be at the forefront of evolving LLM technology and contributing to next-generation technological innovations that address industry challenges.Representative Projects:Reinforcement learning applications for LLM (mathematics, coding, general reasoning, tool utilization)Efficient and effective reasoning strategiesA scalable pipeline for agentic tool use data synthesisLanguage-specific reward modelsPrecision in instruction followingAs project directions evolve with technological advancements, we prioritize the most impactful elements in LLM model development at any given time.Employment Type:Full-time (for new entrants and transfers of Professional Research Personnel)Work Locations:Gwanggyo Office (10-minute walk from Sanghyeon Station - ending use by March 2026)Gangnam Office (7-minute walk from Gangnam Station - before March 2026)Recruitment Process (Entirely Online):Document screeningAlgorithm coding testDeep learning coding testTechnical interview (1st round)Technical interview (2nd round)Culture interviewFinal interviewAnnouncement of final results

Job ResponsibilitiesStay abreast of cutting-edge AI research trends, including LLM, Agentic AI, Diffusion, and Inference acceleration, and explore integration opportunities with our proprietary NPU.Lead groundbreaking AI research aimed at publication in top-tier academic conferences.Forge research collaborations with prestigious global institutions and manage associated projects.

Are you a passionate expert in the Vietnamese language, ready to influence the future of artificial intelligence? As large-scale language models transition from simple chatbots to sophisticated engines of linguistic exploration, your role becomes vital. With top-notch training data, tomorrow's AI can democratize access to world-class education, stay abreast of groundbreaking research, and enhance communication for Vietnamese speakers worldwide. Your expertise is essential to empower the next generation of AI. We seek Vietnamese language specialists who are well-versed in phonology, orthography, syntax, semantics, pragmatics, historical linguistics, and sociolinguistics. You will engage with advanced language models on complex topics such as tonal differentiation, classifier utilization, compound formation, dialectal variation, idiomatic expressions, honorifics, and context-sensitive meanings—meticulously documenting every error to strengthen model reasoning. On a day-to-day basis, your tasks will involve conversing with the model about language scenarios, ensuring factual accuracy and logical coherence, capturing reproducible error patterns, and proposing enhancements to our prompt engineering and evaluation metrics. The ideal candidate will hold a Master's degree or PhD in Vietnamese language, linguistics, or a related field. Experience in peer-reviewed publications, translation or interpretation, teaching credentials, or in-depth linguistic analysis projects will demonstrate a strong fit. Effective metacognitive communication—clearly articulating your thought process—is crucial. Are you ready to transform your Vietnamese language expertise into the foundation for tomorrow's AI? Apply now and join us in developing the model that will educate the world.

At Upstage, we are dedicated to leveraging AI technology to solve complex business challenges. Our vision of "Making AI Beneficial" and our mission of developing "Artificial General Intelligence (AGI) for Work" guide our operations. We focus on developing AI solutions that go beyond simple task automation to dramatically enhance productivity through sophisticated decision-making support and cost reduction.To realize this vision, Upstage continuously advances the core technologies of AGI, particularly in the realm of Large Language Models (LLM). We enhance our technical competitiveness by diagnosing and improving model performance against benchmark metrics tracked by Global Frontier while developing a Workspace Benchmark Set that reflects our clients' real needs, maximizing the practicality and effectiveness of our models. Our aim is to solve complex industry problems while leading the global standards for technology.The LLM Post-training team focuses on three primary goals: (1) Enhancing knowledge and reasoning capabilities, (2) Aligning with human preferences, and (3) Improving performance in agentic tool use. We utilize scalable data construction methodologies, a high-quality data filtering system, and the latest learning techniques such as DPO, RLHF, and RLVR to spearhead the development of world-class post-training technologies. By joining this team, you will be at the forefront of evolving LLM technology and contribute to next-generation technological innovations that address real-world industry problems.Representative ProjectsReinforcement learning applications for LLM (mathematics, coding, general reasoning, tool utilization)Efficient & effective reasoning methodsDevelopment of a scalable data synthesis pipeline for agentic tool useCreation of language-specific reward modelsPrecision in instruction following** Project focus may change according to technology trends and circumstances, concentrating on the most impactful technological elements for LLM model advancement at any given time.Working ConditionsFull-time position or Internship (Experiential, 3-6 months)Recruitment Process - Fully OnlineDocument screeningAlgorithm coding testDeep learning coding testTechnical interview (1st round)Technical interview (2nd round)Cultural interviewFinal interviewFinal results announcement* The process may be adjusted depending on circumstances.* A reference check may occur after the final interview.Work EnvironmentWork together from anywhere on Earth! We offer the flexibility to work remotely.You can freely choose equipment for remote work within a budget of 5 million KRW.