AI Research Scientist - PhD

mercor; San Francisco (CA); Hybrid; GBP 57.000 - 83.000; Teilzeit

Zusammenfassung

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role targets STEM PhDs and technical domain experts to contribute to state-of-the-art large language models.

Compensation is $55–$80/hour, with opportunities to develop challenging problems across AI domains. Responsibilities include creating high-quality data, evaluating model training, and collaborating with research teams to advance AI performance.

Qualifikationen

• PhD or advanced degree 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.

Aufgaben

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

Kenntnisse

Attention to detail

Communication skills

Ausbildung

PhD or advanced degree in Medicine/Healthcare, Statistics and Data Science, AI/ML Research, Computer Science, Game Development, or Mechanical/Aerospace Engineering

Jobbeschreibung

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 to inform the future of AI innovation by developing challenging problems in your domain.
• Evaluate and improve AI model training and outputs to ensure accuracy and depth.
• Collaborate with AI research teams to enhance training data quality and performance.
• Work independently and asynchronously to meet deadlines and improve AI model performance .

Qualifications

• PhD or advanced degree 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 .

Interview Process

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

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to: