Talent Job Seeker

Research Analyst - Fully Remote | Upto $60/hr

  • New York
  • Full-time

About the position

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 (Macbook User) Type: Contract Compensation: $50–$60/hour Location: Remote Commitment: 10–20 hours/week Role Responsibilities Develop high-quality research questions, answers, and evaluation materials to train advanced language models. Gather and clearly summarize information from diverse sources to support AI model training. Provide structured feedback to improve AI model outputs and training data quality. Work independently and asynchronously to meet deadlines and elevate model performance. Collaborate with AI research teams to ensure consistency and coverage across datasets. Qualifications Must-Have Macbook with Apple Silicon (ARM) or M-series chip. Currently pursuing or recently completed Master's studies, or 2–3 years of relevant experience + Bachelor's from a prestigious institution. Strong online research and communication skills. Excellent written communication skills. Preferred Interdisciplinary degree. Start Date Immediate start preferred Application Process (Takes 20–30 mins to complete) Submit your resume. AI interview based on your resume. Complete a brief paid assessment. Receive follow-up communication within a few days regarding your application status and next steps. 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.

Place of work

Talent Job Seeker
New York
app.general.countries.United States

About the company

51-200 Personnel Services

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Fair Compensation

Fair pay and attractive terms

Onboarding

A Structured Start from Day One

A supportive team

Mutual Respect and Open Collaboration

Future Outlook

A Secure Job with Growth Opportunities

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