Remote Physics Expert (Phd, Ai Trainer) - 34878

buscojobs Brasil; Caraí; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A leading AI research company is seeking a Physics Expert to help develop advanced AI models. You will design and evaluate physics problems while contributing to pioneering AI projects. This remote contract role offers flexible hours and competitive pay, requiring a PhD in Physics and strong analytical skills.

Serviços

Flexible weekly hours

Exposure to cutting-edge AI research

Collaboration with global experts

Qualificações

• 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.

Responsabilidades

• Design and solve advanced physics problems across mechanics, electromagnetism, thermodynamics, quantum theory.
• Evaluate AI-generated solutions for scientific rigor, correctness, and clarity.
• Provide structured, expert-level feedback that identifies model strengths and weaknesses.

Conhecimentos

Strong analytical skills

Excellent written communication

Detail-oriented

Formação académica

PhD in Physics or Applied Physics

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 $50–$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.