STEM AI Trainer (Remote)

Joblet-AI; India; Remote; INR 827,000 - 1,653,000; Part time

Benefits offered by this job

Fully remote work

Job summary

Joblet-AI is seeking a remote freelance analyst to work on advanced STEM problems and evaluate large language models. You will simplify complex physics topics, provide well-structured reasoning, and collaborate with researchers to shape evaluation benchmarks spanning undergraduate to PhD-level physics.

This is a contractor/freelancer role with no medical/paid leave. Ideal candidates will have strong analytical skills, PhD-level or equivalent research background in STEM, and excellent remote

Qualifications

• Analytical research and analytical skills required.
• Ability to give constructive feedback and detailed annotations.
• Creative and lateral thinking abilities.
• Excellent structured communication in a remote setting.
• Self-motivated and able to work independently from home.
• Stable desktop/laptop setup with reliable internet

Responsibilities

• Design and solve challenging STEM problems to probe LLMs.
• Create clear, high-quality, step-by-step solutions with reasoning.
• Collaborate with LLM researchers to align problems with evaluation goals.
• Help define evaluation benchmarks based on Physics curricula from undergrad to PhD level.

Skills

Analytical skills

Feedback skills

Creative thinking

Communication

Independence

Tech setup

Education

Masters/PhD in STEM

Applied Physics

Job description

1. In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong analytical and English comprehension skills.

2. The ideal candidate should have a solid foundation in STEM, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs.

3. You should be able to break down complex STEM concepts into simple, clear explanations and work efficiently.

4. The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!

What does day-to-day look like:

1. Design and solve challenging STEMs problems to probe the limitations of large language models.

2. Create clear, high-quality, step-by-step solutions with well-articulated reasoning.

3. Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models typically struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation).

4. Help define new evaluation benchmarks based on Physics curricula spanning early undergraduate to PhD-level topics.

Requirements:

1. Analytical Skills: Good research and analytical skills

2. Feedback Skills: Ability to provide constructive feedback and detailed annotations.

3. Creative Thinking: Creative and lateral thinking abilities.

4. Communication: Excellent structured communication and collaboration skills in a remote setting.

5. Independence: Self-motivated and able to work independently in a remote setting.

6. Technical Setup: Desktop/Laptop set up with a good internet connection.

Prefered Qualification:

1. Candidates currently pursuing a Master's/Ph.D./Postdoctoral degree in STEM, Applied Physics, or a related field are eligible and encouraged to apply.

2. Ability to analyze and solve complex physics problems with a structured and logical approach.

3. Ability to explain STEM concepts clearly using simple language, visuals, and physics reasoning.

Perks of Freelancing

1. Work in a fully remote environment.

2. Opportunity to work on cutting-edge AI projects with leading LLM companies.

3. Potential for contract extension based on performance and project needs.

1. Engagement type : Contractor assignment/freelancer (no medical/paid leave)

What You'll Do

1. Design and solve challenging STEMs problems to probe the limitations of large language models.

2. Create clear, high-quality, step-by-step solutions with well-articulated reasoning.

3. Collaborate with LLM researchers to align problems with evaluation goals, especially in areas where models typically struggle (e.g., abstraction, multi-step reasoning, symbolic manipulation).

4. Help define new evaluation benchmarks based on Physics curricula spanning early undergraduate to PhD-level topics.