Remote Physics Expert (Phd, Ai Trainer) - 34878

buscojobs Brasil; Campo Grande; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading AI company seeks a Physics Expert to enhance AI models' reasoning about physics. The role is remote and flexible, requiring a PhD in physics or related fields. Responsibilities include designing physics problems, evaluating AI solutions, and providing expert feedback. Compensation ranges from $50 to $150 per hour based on experience, with hours tailored to your schedule.

Serviços

Flexible work hours

Remote-first role

Collaboration with AI 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 and thermodynamics.
• 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 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 $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.