The Work
You will evaluate large language model responses about residential mortgage and home lending. Your judgment will help set clear standards for accurate, compliant, and useful answers.
You will work with AI researchers and other lending professionals to shape evaluation methods, training approaches, and performance benchmarks.
- Review responses about residential underwriting, Conventional, FHA, VA, and USDA loan programs.
- Evaluate content covering refinancing, servicing, and the mortgage lifecycle from application through closing.
- Create rubrics for DTI and LTV calculations, borrower income and asset verification, appraisal review, escrow analysis, and TRID and RESPA disclosure compliance.
- Identify errors, missing information, and regulatory issues in AI-generated lending responses.
What It Pays And Takes
This is a remote freelance opportunity with a flexible part-time schedule. The initial engagement is expected to last about one month, with a possible extension based on project needs and performance.
- Pay: $100 per hour.
- Schedule: Approximately 10 to 30 hours per week.
- Location: Remote and open worldwide.
- Language: Excellent written English.
- Experience: At least two years in mortgage or home lending as an underwriter, loan officer, loan processor, closer, servicing specialist, secondary marketing analyst, or in a comparable role.
- Knowledge: Fannie Mae and Freddie Mac guidelines, mortgage underwriting standards, regulatory requirements, and the full loan lifecycle.
- Skills: Clear written explanations, strong critical thinking, and practical problem-solving.
- AI experience: Prior AI training or model evaluation experience is not required.
- Helpful but optional: NMLS licensure, DE or LAPP underwriting authority, Certified Mortgage Banker certification, or an MBA in Finance.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
OpenTrain is where people find AI training and data-labeling projects and build a profile of this work. AI training means reviewing and improving examples used to teach computer systems, and experienced professionals are needed to judge whether model answers are accurate, useful, and safe.