Remote AI Research Subject Matter Expert (PhD)

Mercor; San Francisco (CA); Hybrid; GBP 57,000 - 83,000; Part time

Job summary

Mercor is seeking STEM PhDs and technical domain experts for a remote contract role. You will contribute to cutting-edge AI projects by developing challenging problems and creating high-quality data to inform AI model improvements.

Collaboration with AI research teams and independent, asynchronous work are key aspects of the role. The position offers a contract engagement with pay of $55-80 per hour and starts with rolling review of applications.

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

Written and verbal communication

Education

Medicine / Healthcare

Statistics and Data Science

AI / ML Research

Computer Science

Game Development

Mechanical / Aerospace Engineering

Job description

Mercor is seeking STEM PhDs and technical domain experts for a remote contract role. You will contribute to cutting-edge AI projects by developing challenging problems and creating high-quality data to inform AI model improvements.

Collaboration with AI research teams and independent, asynchronous work are key aspects of the role. The position offers a contract engagement with pay of $55-80 per hour and starts with rolling review of applications.