Underwriting Expert - Document Analysis

Obsidian; San Francisco (CA); On-site; Full time

Job description

All application steps are reused whenever another role requires the same step, so you never have to upload your resume or take the same interview twice.

Location requirements

Canada United States

Benchmark Dataset Project

Benchmark dataset project evaluating AI models on visual document understanding and instruction-following in the Underwriting domain. Experts author complex, grounded tasks with a clear ground-truth output and objective rubric. ~15–20 hrs/week, remote, US/Canada.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.