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

mercor · via Himalayas ·

Budget / Salary$55–80
TypeContract
LocationAustralia
Posted2 hours ago
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 with state-of-the-art large language models.

Create high-quality data by developing difficult problems in your domain.

Evaluate and improve AI model performance through rigorous testing and feedback.

Collaborate with AI research teams to enhance training data quality.

Work independently and asynchronously to meet project deadlines.

Qualifications

Must-Have

PhD or advanced degree (or equivalent industry experience) in Medicine, Healthcare, Statistics, Data Science, AI/ML Research, Computer Science, Game Development, or Mechanical/Aerospace Engineering.

High attention to detail.

Exceptional written and verbal communication skills.

Interview Process
Complete a short interview and task (20–30 mins). Paid onboarding time includes this and a few onboarding videos if hired.

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:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
ai-research data-science domain-expert ai-evaluation technical-consulting stem-domain-expert freelance-stem-research-ai-consultant stem-ai-specialist bioinformatics-domain-expert
Apply on Himalayas →

Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.