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Remote Physics Researcher (PhD) - 34878

Turing

Firenze

Remoto

EUR 30.000 - 50.000

Part-time

2 giorni fa
Candidati tra i primi

Descrizione del lavoro

An AI company is seeking PhD-level researchers in physics to develop and analyze physics problems for testing reasoning capabilities of language models. Responsibilities include designing problems, evaluating AI responses, and providing feedback. This is a contract role requiring at least 20 hours per week with options for remote work. The ideal candidate will have strong analytical skills and effective communication abilities.

Servizi

Remote work flexibility
Work on high-impact AI research projects
Possibility of contract extension based on performance

Competenze

  • Enrolled in or have completed a Ph.D. or Postdoctoral in Physics.
  • Able to provide clear, constructive feedback with examples.
  • Strong written communication in remote settings.

Mansioni

  • Create physics problems and analyze model responses.
  • Review how AI solves problems and share insights.
  • Test reasoning capabilities of large language models.

Conoscenze

Strong research and analytical skills
Ability to provide clear feedback
Strong written communication
Comfortable working independently

Formazione

Ph.D. or Postdoctoral in Physics or related field

Descrizione del lavoro

Are you passionate about solving logical problems and working through challenging math?

Turing is looking for PhD-level researchers in physics to test the reasoning capabilities of large language models (LLMs). You’ll create physics problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving.

What does day-to-day look like? You’ll create physics problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as : A high-energy pion travels through a material, losing energy at a constant rate. Given its rest mass and proper lifetime, calculate the probability that it decays within a certain distance from its origin. For a 1D Brownian motion starting at the origin, define the last return time to zero and the time spent on the positive axis as fractions of total time. Find the exact joint probability distribution of these scaled times, expressed using the Heaviside function to specify its support.

Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Physics, Applied Physics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access

Note : This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered.

Time Commitment & Contract Details Commitments Required :

at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment : 20 hrs / week, 30 hrs / week, or 40 hrs / week) Engagement type : Contractor assignment / freelancer (no medical / paid leave) Duration of contract :

1 month; (expected start date is next week)

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

About Turing 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.

Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models.

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