Remote Trainer

3 days ago


Kolkata, West Bengal, India Turing Full time
Role 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.

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. These tasks are designed to find model weaknesses and improve training and evaluation workflows.

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.

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.

Time Commitment & Contract Details

Contractor assignment/freelancer (no medical/paid leave)

Duration of contract : Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload.

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.

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.

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