Technical Domain Expert - Fully Remote | Upto $80/hr

mercor; United States; Remote; USD 76,000 - 110,000; Full time

Job summary

Mercor is seeking STEM PhDs and technical domain experts for a remote, contract role contributing to state-of-the-art AI research. You will apply domain expertise to create challenging data tasks and inform future model development.

Applicants should hold a PhD or advanced degree in a relevant field, demonstrate exceptional attention to detail, and communicate clearly in writing and speech. Rolling applications and a brief onboarding task are included if hired.

Qualifications

• PhD or advanced degree (or equivalent industry experience) in Medicine / Healthcare , Statistics and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical / Aerospace Engineering.
• High attention to detail.
• Exceptional written and verbal communication skills.

Responsibilities

• Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models.
• Create high-quality data by developing difficult problems in your domain to inform the future of AI innovation.
• Collaborate with AI research teams to enhance model reasoning and outputs.
• Work independently and asynchronously to meet deadlines and improve AI model performance.
• Provide structured feedback to elevate training data quality and downstream performance.

Skills

Attention to detail

Communication skills

Education

PhD or advanced degree in relevant field

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: STEM PhDs and Technical Domain Experts Type: Contract Compensation: $55-$80/hour Location: Remote

Role Responsibilities

• Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models.
• Create high-quality data by developing difficult problems in your domain to inform the future of AI innovation .
• Collaborate with AI research teams to enhance model reasoning and outputs.
• Work independently and asynchronously to meet deadlines and improve AI model performance .
• Provide structured feedback to elevate training data quality and downstream performance.

Qualifications Must-Have

• PhD or advanced degree (or equivalent industry experience) in Medicine / Healthcare , Statistics and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical / Aerospace Engineering .
• High attention to detail .
• Exceptional written and verbal communication skills .

Start Date

• Applications reviewed on a rolling basis.

Interview Process

• Complete a short interview and task ( 20–30 mins ).
• Paid for up to 1 hour of onboarding time including this and onboarding videos if hired.

Resources & Support

• For details about the interview process and platform information, please check:
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