Research Consultant - Fully Remote | Upto $70/hr

mercor

United States

À distance

USD 55 000 - 96 000

Plein temps

14 jours+

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Résumé du poste

Mercor, headquartered in San Francisco, seeks a Generalist Search Expert for a remote contract role. You will evaluate AI-generated content to strengthen reasoning and rigor in model outputs, review complex material for alignment with domain principles, and provide structured feedback to AI research teams.

Additionally, you will develop evaluation rubrics and benchmarks, collaborate with subject matter experts to ensure coverage across datasets, and work independently to meet deadlines while

Qualifications

  • Strong research background in any domain.

Responsabilités

  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs.
  • Review complex content for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Connaissances

Strong research background

Description du poste

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: Generalist Search Expert
Type: Contract
Compensation: $40–$70/hour
Location: Remote

Role Responsibilities
  • Evaluate the accuracy and depth of AI-generated content to strengthen reasoning and rigor in model outputs .
  • Review complex content for alignment with domain principles and methodologies.
  • Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
  • Develop evaluation rubrics and benchmarks for assessing AI-generated tasks and solutions.
  • Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
  • Work independently and asynchronously to meet deadlines while improving AI model performance .
Qualifications
  • Strong research background in any domain.
Resources & Support
  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

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