Germany
1 month ago

Job Overview

Job Type
Full Time
Pay
USD 75 (hourly)

Job description

Salary:
USD 75 per hour
Location:
Germany
Work arrangement:
On-site

Role Summary

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: STEM Expert (Physics, Chemistry, Mathematics, Biology)
  • Type: Contract
  • Compensation: $75/hour
  • Location: Remote
  • Role Responsibilities

Evaluate complex problems in physics , chemistry , mathematics , or biology to enhance analytical and modeling tasks.

Analyze and apply structured reasoning to quantitative methods and data analysis.

Collaborate on open-ended and interdisciplinary problems, ensuring clear communication of solutions.

Work independently and asynchronously to deliver high-quality outputs and meet deadlines.

Requirements

  • Bachelor's , Master's , or PhD in a STEM field (or currently pursuing one).
  • 1+ year of relevant experience in academic, research, internships, or industry.
  • Strong problem-solving and analytical thinking skills.
  • Ability to work independently and deliver high-quality outputs.
  • 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:

Additional Information

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

Role:
STEM Specialist - Quantitative Analysis
Job Type:
Full Time

Company profile

Mercor is an AI data company that connects domain experts across hundreds of professional fields with frontier AI labs and enterprises. Experts on its platform train and evaluate AI models, and its APEX benchmark family measures how AI performs on real-world professional work. Mercor Enterprise helps large companies capture how their most skilled people work and turn that expertise into AI agents. Founded in 2023, the company has offices in San Francisco, NYC and London.

Founded
2023
Funding Stage
Series C

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