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mercor

mercor

Astrophysics Specialist - Fully Remote | Upto $85/hr

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Fully RemoteData & AIPortugal

Salary

$1k–$1k

Posted

2h ago

Source

himalayas

Physics ResearchAI ResearchTechnical ConsultingData Quality AssuranceAcademic Consulting

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Physics PhD
Type:Contract
Compensation:$85/hour
Location:Remote
Commitment:4–6 tasks/week

Role Responsibilities

  • Develop challenging problems in Statistical Mechanics, Condensed Matter, AMO Physics, and other sub-domains.
  • Contribute to a project involving state-of-the-art large language models.
  • Create high-quality data to inform the future of AI innovation.
  • Collaborate with AI research teams to ensure data quality and relevance.
  • Work independently and asynchronously to meet task deadlines.

Qualifications

Must-Have

  • PhD in Physics
  • Graduate degree from US/UK/Canada/Western Europe
  • High attention to detail
  • Exceptional written and verbal communication skills
  • Excellent proficiency in English

Start Date

  • February; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Salary in context

This salary range is below the typical band for remote Data & AI roles — comparable roles on RemoteTide top out closer to $130k.

Before you apply

  • Confirm data stack maturity (warehouse, transformation, BI tooling)
  • Ask whether the role is analyst-leaning or ML/eng-leaning
  • Check data quality ownership — who owns the source-of-truth?

Interested in this role?

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