Description
Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves
While each project involves unique tasks, contributors may:
- Evaluate AI-generated mortgage underwriting decisions across loan types (conforming, jumbo, FHA, VA, cash-out refinance);
- Create test cases involving qualifying income calculations for self-employed borrowers using Schedule C, K-1, and Schedule E;
- Draft and audit conditional approval letters and adverse action notices for Reg B / ECOA compliance;
- Distinguish Fannie Mae / Freddie Mac selling guide rules from lender overlays in jumbo and non-conforming loan scenarios;
- Document problem statements clearly and provide verified correct answers.

What we look for
This opportunity is a good fit for mortgage underwriters and loan origination professionals open to part-time,



non-permanent projects. Ideally, contributors will have:
- Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;
- 3+ years of of mortgage, lending, real estate, or financial services experience;
- Current or recent experience in underwriting & origination or adjacent roles;
- Ability to calculate qualifying income for self-employed borrowers from IRS Forms 1040, Schedule C, Schedule E, and K-1;
- Deep familiarity with Fannie Mae / Freddie Mac selling guides and knowledge of Reg B, Reg Z, and TRID disclosure timing rules;
- Solid written English (C1+).

How it works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations
For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only wh

📌 Mortgage Underwriter (India)
🏢 Mindrift
📍 India