You will review sample questions from federal student loan borrowers and assess whether AI-generated guidance is accurate, complete, and aligned with current federal policies. The work focuses on complex servicing issues and is completed asynchronously.
- Review AI-generated answers about repayment plans, PSLF payment counts, deferment, forbearance, delinquency, default, and servicing transfers.
- Create clear rubrics that define correct and complete answers to complex federal student loan questions.
- Identify errors, missing information, outdated guidance, misapplied payments, payment-count irregularities, and transfer-related issues.
- Write precise, actionable assessments and feedback.
What it pays and takes
This is a remote contractor role for contributors in the United States.
- Pay: $30 to $50 per hour.
- Time commitment: 15 to 25 hours per week.
- Location: Open to candidates in the United States.
- Language: Fluent in English.
- At least one year of professional experience at a federal student loan servicer or servicer contractor.
- Experience supporting borrowers through inquiries, default management, collections, escalations, or related servicing work.
- Knowledge of federal loan types, income-driven repayment plans, PSLF, deferment, forbearance, delinquency, default, rehabilitation, and consolidation.
- Direct experience resolving payment-count errors, misapplied payments, or issues caused by transfers between servicers.
- Strong written and verbal communication, careful judgment, and close attention to accuracy.
- Familiarity with recent changes in federal student loan policy is valuable.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 4 screening questions.
About AI training work
AI training is the human work behind systems that answer questions and generate content. Contributors review model responses against expert standards, and people with specialized knowledge help make those responses more accurate and useful.