Mercor, an AI talent platform backed by prominent Silicon Valley investors, is hiring an Investor Materials Expert Evaluator for a remote contract position. The role pays $80 to $120 per hour and focuses on reviewing AI-generated fundraising and pitchbook content.
Investor Materials Evaluator Role and Responsibilities
The position involves evaluating AI-generated artifacts against domain-specific quality rubrics. According to the LinkedIn job posting, the evaluator will identify factual, aesthetic, and presentation errors in the materials, then provide clear, structured written feedback.
The role requires applying deep subject-matter expertise to grade outputs and working independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications and Compensation for the Evaluator Position
Candidates must have 5+ years of relevant professional experience in investor materials or fundraising. The job is listed as a contract position with remote work flexibility, as confirmed by Remotive's job listing.
The compensation range of $80–$120 per hour reflects the specialized nature of the work. Mercor has posted similar evaluator roles in multiple locations, including New York, Charlotte, and Toronto, according to LinkedIn Canada's listing.
About Mercor and Its Backers
Mercor connects elite creative and technical talent with leading AI research labs. The company is headquartered in San Francisco and counts Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey among its investors, as stated in the Ideal Remote Jobs posting.
"Evaluate AI-generated artifacts against domain-specific quality rubrics. Identify factual, aesthetic, and presentation errors." — Mercor Job Posting
Our Take: AI Quality Depends on Human Expertise
This job posting shows a growing trend in the AI industry. Companies building AI tools for specialized fields like fundraising and investor relations need human experts to check the quality of what the AI produces. The high hourly rate reflects how much these companies value domain expertise.
To put it plainly, AI can generate pitchbooks and investor materials quickly, but it still needs experienced professionals to catch errors and ensure the content meets professional standards. For experts in investor materials and fundraising, this type of contract work offers a way to apply their skills in the AI space without leaving their field.
The remote nature of the role also makes it accessible to qualified professionals regardless of location. As AI continues to expand into specialized professional domains, we expect more companies to create similar evaluator roles that combine human judgment with AI development.
