Credit Analyst - Freelance AI Trainer

aitrainer; Deutschland; Vor Ort; EUR 52.807 - 73.930; Teilzeit

Zusammenfassung

aitrainer in Germany is offering a project-based opportunity for professionals to evaluate AI-generated mortgage underwriting decisions. Applicants should have a degree in Finance or a related field and ideally possess 3+ years of experience in mortgage, lending, or financial services. Strong English skills are necessary, and the role involves creating test cases and drafting approval letters.

This project allows for flexible hours, with expected participation of 10–20 hours per week and potential compensation of up to $60 per hour based on expertise.

Qualifikationen

• 3+ years of mortgage, lending, real estate, or financial services experience.
• Current experience in underwriting & origination or adjacent roles.
• Familiarity with RegB, RegZ, and TRID disclosure timing rules.

Aufgaben

• Evaluate AI-generated mortgage underwriting decisions.
• Create test cases for self-employed borrowers using IRS forms.
• Draft conditional approval letters and adverse action notices.

Kenntnisse

Mortgage underwriting

Calculating qualifying income

Knowledge of FannieMae / FreddieMac selling guides

Strong written English

Ausbildung

Degree in Finance, Economics, Business Administration, Accounting, Real Estate

Jobbeschreibung

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

• 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 RegB / ECOA compliance;
• Distinguish FannieMae / FreddieMac 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

• Degree in Finance, Economics, Business Administration, Accounting, Real Estate, or any related field;
• 3+ years 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 FannieMae / FreddieMac selling guides and knowledge of RegB, RegZ, and TRID disclosure timing rules;
• Strong 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 while the project is active.

Compensation

On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.