Freelance AI Trainer - Physics Specialist with Python Expertise

Toloka AIRemote — South Korea

Remote Contract $35/hr - $35/hr

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Experience Level

Experience

Qualifications

Qualifications:Degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation, with applicable knowledge in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language;Minimum of 2 years of professional experience in applied research, teaching, or relevant fields;Experience with numerical simulation methods and problem design;Creative thinking abilities in a variety of physics areas;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).

About the job

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 compensated

Project 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.

About Toloka AI

Toloka AI is a pioneering company dedicated to connecting specialists with innovative project-based opportunities in the realm of artificial intelligence for top-tier technology companies. Our mission is to enhance AI systems through rigorous testing, evaluation, and improvement.

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Freelance AI Trainer - Physics Specialist with Python Expertise

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Contract|$8/hr - $65/hr|Remote|South Korea

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[독파모] AI Research Engineer - LLM Post-Training Specialist

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Full-time|Remote|Remote job

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.

Nov 10, 2024

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