Real Estate Appraisal Expert — Visual Document Understanding (AI Training)
About the Project
Mercor is partnering with a leading AI lab on a benchmark dataset project evaluating AI models on visual document understanding and instruction-following in the real estate appraisal domain. Experts author complex, grounded tasks with a clear ground-truth output and an objective rubric, directly shaping how next-generation AI systems reason over appraisal reports and property documents.
What You'll Do
- Design grounded tasks based on real appraisal workflows (comps analysis, valuation reports, property condition assessments)
- Produce expert-level reference outputs with clear, defensible answers
- Define objective rubrics for consistent evaluation of AI responses
- Frame tasks that test document interpretation, form comprehension, and instruction-following over appraisal-related visual documents
- Refine tasks based on calibration feedback and reviewer input
- Ensure all content is accurate, industry-standard, and free of ambiguity
Requirements
- Licensed or certified Real Estate Appraiser (Certified Residential, Certified General, or state/national equivalent) in the United States or Canada
- Active practice with strong familiarity reading and producing appraisal reports, valuation documents, and comps analyses
- Based in the United States or Canada
- Able to commit 15-20 hours per week, fully asynchronous and remote
- Precise written communication, strong reasoning, and attention to detail
Compensation & Logistics
- Type: Part-Time Contract (Independent Contractor)
- Compensation: $59.00–$60.00 per hour
- Location: Remote (United States or Canada only)
- Commitment: 15-20 hours/week, fully asynchronous
- Paid weekly via Stripe or Wise
- Duration: Ongoing, reviewed monthly; projects may be extended, shortened, or concluded early based on needs and performance
- Note: Mercor is unable to support H1-B or STEM OPT candidates at this time
Application Process
Participate in a resume evaluation and credentials check, followed by onboarding sign-off. Applications are reviewed on a rolling basis.
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