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Remote Physics Research Scientist (Phd) - 34878

buscojobs Brasil

Paraná

Teletrabalho

BRL 120.000 - 160.000

Tempo parcial

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

An AI research company is seeking Physics Research Scientists to rigorously test advanced AI models in a remote, contract-based role. Candidates should have a PhD in Physics and strong problem-solving skills. Responsibilities include designing physics problems and analyzing AI solutions. Compensation ranges from $50 to $150 per hour based on experience, with flexible hours and the possibility of extension.

Serviços

Flexibility: Remote-first with weekly hour options
Impact: Help define how AI models reason about scientific problems
Career Growth: Experience at the intersection of AI and physics research

Qualificações

  • PhD or Postdoctoral (or currently enrolled) in Physics, Applied Physics, or related fields.
  • Strong ability to solve complex, multi-step problems with structured reasoning.
  • Skilled communicator, able to explain logic and critique clearly in writing.
  • Independent, self-motivated, and comfortable in a remote setting.
  • Reliable computer and internet setup.

Responsabilidades

  • Design and evaluate challenging physics problems to test AI reasoning.
  • Analyze AI-generated solutions for logic, rigor, and step-by-step clarity.
  • Provide detailed feedback that highlights gaps in reasoning.
  • Contribute to benchmarks measuring model performance.
  • Collaborate with researchers to refine testing methodologies.

Conhecimentos

Complex problem-solving
Structured reasoning
Clear communication
Independent working

Formação académica

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

Turing is hiring Physics Research Scientists (PhD, Remote) to test and improve how advanced AI models handle reasoning and problem-solving in physics. Work with top AI labs, contribute to frontier benchmarks, and earn upto $150 / hr on a flexible, remote schedule.

Role Overview :

We are seeking PhD-level Physics researchers to rigorously test the reasoning capabilities of large language models (LLMs). In this role, you’ll create physics problems, analyze model responses, and identify logical gaps to help improve AI’s conceptual understanding and structured problem-solving.

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

Key Responsibilities
  • Design and evaluate challenging physics problems to test AI reasoning.
  • Analyze AI-generated solutions for logic, rigor, and step-by-step clarity.
  • Provide detailed, constructive feedback that highlights gaps in reasoning.
  • Contribute to the development of benchmarks that measure model performance on abstract and multi-step tasks.
  • Collaborate with researchers to refine methodologies for testing AI reasoning.
Must-have Qualifications
  • PhD or Postdoctoral (or currently enrolled) in Physics, Applied Physics, or related fields.
  • Strong ability to solve complex, multi-step problems with structured reasoning.
  • Skilled communicator, able to explain logic and critique clearly in writing.
  • Independent, self-motivated, and comfortable in a remote setting.
  • Reliable computer and internet setup.
Why Join Turing?
  • Impact : Help define how AI models reason about abstract, scientific problems.
  • Prestige : Work with leading AI labs shaping the future of reasoning systems.
  • Flexibility : Remote-first, with weekly hour options.
  • Career Growth : Gain experience at the intersection of AI and physics research.
Contract & Selection Process :
  • 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.
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.

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