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Remote Physics Expert (Phd) - 34878

buscojobs Brasil

Espírito Santo

Teletrabalho

BRL 80.000 - 120.000

Tempo parcial

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A leading AI research firm is seeking a Physics Expert to contribute to advanced AI projects. This fully remote role is perfect for PhD holders in Physics, offering flexible hours and compensation of $50–$150 per hour based on experience, with the chance to collaborate on cutting-edge research that shapes AI's understanding of physics.

Serviços

Remote-first work environment
Collaboration with global experts
Exposure to cutting-edge AI research

Qualificações

  • Must have a PhD or be enrolled in a related program.
  • Capable of explaining advanced concepts clearly.
  • Reliable technical setup for remote work.

Responsabilidades

  • Design and solve advanced physics problems.
  • Evaluate AI-generated solutions for correctness.
  • Provide structured feedback on model performance.
  • Collaborate with researchers to improve workflows.
  • Contribute to creating physics-focused datasets.

Conhecimentos

Strong analytical skills
Excellent written communication
Ability to solve complex problems
Detail-oriented

Formação académica

PhD or Postdoctoral in Physics or related fields
Descrição da oferta de emprego
Overview

Join Turing as a Physics Expert (PhD, Remote) and help shape how the world’s most advanced AI models reason about physics. Work on cutting-edge projects with top AI labs while earning upto $150 / hr, fully remote, with flexible weekly hours.

About Turing :

Turing is one of the world’s fastest-growing AI companies, partnering with leading AI research labs to advance frontier model capabilities in reasoning, coding, agentic behavior, multimodality, multilinguality, and STEM. Our work directly shapes how next-generation AI systems solve mission-critical challenges across science, technology, and industry.

Role Overview :

We are seeking PhD-level Physics experts to contribute to cutting-edge AI research. As a Physics Expert – AI Trainer, you’ll design challenging problems, evaluate model outputs, and provide expert feedback to improve the reasoning capabilities of large language models (LLMs).

This is a remote, contract-based role with flexible weekly hour options (10, 20, or 30 hours per week).

Key Responsibilities
  • Design and solve advanced physics problems across mechanics, electromagnetism, thermodynamics, quantum theory, and related domains.
  • Evaluate AI-generated solutions for scientific rigor, correctness, and clarity.
  • Provide structured, expert-level feedback that identifies model strengths, weaknesses, and misconceptions.
  • Collaborate with AI researchers to refine evaluation benchmarks and improve training workflows.
  • Contribute to the creation of physics-focused datasets that shape the frontier of AI performance.
Key Qualifications
  • PhD or Postdoctoral (or currently enrolled) in Physics, Applied Physics, or closely related fields.
  • Strong analytical skills and ability to solve complex, multi-step problems with clear reasoning.
  • Excellent written communication; able to explain advanced concepts simply and precisely.
  • Independent, detail-oriented, and comfortable working in a remote research environment.
  • Reliable technical setup (computer + internet).

Why Join Turing?

  • Impact : Your expertise will directly influence how the world’s most advanced AI systems understand and reason about physics.
  • Flexibility : Remote-first role with weekly hour options tailored to your schedule.
  • Collaboration : Work alongside global experts and leading AI labs.
  • Career Growth : Gain exposure to cutting-edge AI research and future-proof your career at the intersection of physics and artificial intelligence.
Engagement Details
  • Compensation : $50–$150 per hour, based on skills and experience. (paid once every two weeks).
  • Duration : 1 week to 3 months (project-based; extension possible).
  • Hours : Up to 30 hrs / week.
  • Time Zone : 2–5 hrs / day overlap with UTC-8 (America / Los_Angeles), confirmed near onboarding.

Selection : Task-based assessment for shortlisted candidates → contract offer.

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