Artificial Intelligence Researcher | Upto $85/hr Part-time Job at Mercor, New York, NY

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  • Mercor
  • New York, NY

Job Description

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: Professor in STEM Domains

Type: W2 Employment

Compensation: $55–$85/hour

Location: Remote

Commitment: 30+ hours/week

Role Responsibilities

  • Design challenging, real-world domain-specific problems for agentic tasks. Target core capability loss failures in frontier AI models .
  • Integrate problems into an Agentic development environment using Python . Prepare detailed instructions, a golden solution, and consult with domain experts.
  • Evaluate cross-model performance on tasks to identify logical reasoning failures.
  • Identify tasks where the target model fails all tests. Classify failures as logical reasoning issues.
  • Analyze agent steps to extract core capability loss patterns from the model.

Qualifications

Must-Have

  • Current or retired professor within STEM , including ML , coding, data science.
  • Degree in Computer Science , Data Science , or relevant STEM field.
  • Ability to engage reliably for at least 30 hours/week during weekdays.
  • Basic ability to work independently and manage time.
  • Strong verbal and written communication skills.

Preferred

  • Past experience in AI training , model evaluation, and data annotation.

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:
  • 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.

Job Tags

Remote job, Part time, Summer work, Weekday work

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