Remote Physics AI Trainer (PhD) - 34440

Turing

Pune City

Remote

INR 1,653,000 - 2,755,000

Part time

14 days+

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Benefits offered by this job

Flexible schedule

Remote work

Job summary

An AI research company in Pune is seeking researchers with strong Physics backgrounds to evaluate and fine-tune language models. Candidates must have a PhD or be pursuing one in Physics or related fields. This entry-level contract position requires at least 4 hours per day with remote participation. Ideal candidates have strong analytical and communication skills.

Qualifications

Strong ability to solve advanced physics problems with clear reasoning.
Clarity in explaining complex topics and providing feedback.
Ability to work independently in a remote environment.
Ability to work independently in a remote setup.

Responsibilities

Evaluate and fine-tune large language models regarding complex physics problems.
Complete task-based assessments during the selection process.
Assist in model evaluation and reporting of results.

Skills

Analytical skills

Communication skills

Research independence

Remote work setup

Education

PhD/Postdoc in Physics or related field

Job description

Overview

We are looking for researchers with strong Physics and analytical backgrounds to help fine-tune and evaluate large language models (LLMs). Your work will help LLMs get better at understanding and solving complex physics problems, such as multi-step conceptual or quantitative questions in areas like mechanics, electromagnetism, thermodynamics, and quantum theory.

Research Objectives

As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks:

An electron is emitted radially from the surface of a long, current-carrying cylindrical conductor. Due to the magnetic field generated by the current, determine the maximum radial distance the electron reaches from the conductor\'s axis.
A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin.
These tasks are designed to find model weaknesses and improve training and evaluation workflows.

Candidate Profile

Academic Background: Enrolled in or completed a PhD/Postdoc in Physics, Applied Physics, or a related field.
Analytical Skills: Strong ability to solve advanced physics problems with clear and structured reasoning.
Communication Skills: Clarity in explaining complex topics and providing feedback with precision.
Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions.
Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments.

Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered.

Time Commitment & Contract Details

Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week)
Engagement type: Contractor assignment/freelancer (no medical/paid leave)
Duration of contract: 1 month; expected start date is next week
Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload.

About Turing

Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Why work with Turing?

Work on research that directly impacts the future of language model performance in mathematics and STEM.
Collaborate with a global network of experts shaping next-generation AI benchmarks.
Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.

Seniority level