Mortgage specialists test AI answers on underwriting, refinancing and servicing, and write rubrics for ratio and disclosure tasks. The work suits people with two or more years in home lending operations or underwriting.
About the role
Role Overview
Turing is looking for Mortgage & Home Lending professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in mortgage origination, underwriting, loan processing, and servicing to evaluate and train AI systems. If you enjoy solving complex problems in home lending and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.
What Does Day-to-Day Look Like
- Evaluate LLM models on mortgage topics such as residential underwriting, conforming and government-backed loan programs (Conventional, FHA, VA, USDA), refinancing, and loan servicing.
- Create rubrics to assess model capabilities on tasks like debt-to-income (DTI) and loan-to-value (LTV) calculations, borrower income and asset verification, appraisal review, escrow analysis, and disclosure compliance (TRID/RESPA).
- Collaborate with AI researchers and fellow lending experts to shape training methods, evaluation strategies, and benchmarks.
- Collaborate with AI researchers and fellow lending experts to shape training methods, evaluation strategies, and benchmarks.
- 2+ years of experience in Mortgage & Home Lending (e.g., mortgage underwriter, loan officer, loan processor, closer, servicing specialist, or secondary marketing analyst).
- Strong grasp of agency guidelines (Fannie Mae/Freddie Mac), mortgage underwriting standards, the loan lifecycle from application to closing, and relevant regulatory requirements.
- Excellent English written communication.
- Excellent English written communication.
- NMLS licence, DE/LAPP underwriting authority, Certified Mortgage Banker (CMB), or MBA in Finance.
- NMLS licence, DE/LAPP underwriting authority, Certified Mortgage Banker (CMB), or MBA in Finance.
- Work on the cutting edge of AI and finance.
- Fully remote and flexible work environment.
- Competitive hourly compensation of ~$100+/hour depending on experience.
- Competitive hourly compensation of ~$100+/hour depending on experience.
- Commitment: Flexible, 10–30 hrs/week.
- Duration: ~1 month, with the possibility of extension based on performance and project needs.
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