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Student Loan Servicing Specialist
Elitebrain Talent Representation and Career Advisory. Review and analyze sample inquiries from federal student loan borrowers to assess the accuracy and completeness of servicing guidance .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in U.S. federal student loan programs, including income-driven repayment plans and Public Service Loan Forgiveness (PSLF). Capable of providing precise feedback and resolving complex servicing issues while maintaining high standards of accuracy and quality.
Highest-signal resume keywords
Federal Student Loan Programs KnowledgeIncome-Driven Repayment Plans ExpertisePublic Service Loan Forgiveness (PSLF) FamiliarityAnalytical Skills and Attention to DetailExcellent Written Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Loan ServicingPayment Count CalculationsQuality Assurance AssessmentsRegulatory ComplianceBorrower AssistanceDefault ManagementCollectionsEscalationsComplex Problem ResolutionDocumentation Review
Soft Skills
Attention to DetailIndependent WorkClear Communication
Industry Keywords
Federal Repayment PlansDefermentForbearanceDelinquencyDefaultLoan RehabilitationLoan ConsolidationAsynchronous WorkFederal Student Loan RegulationsRegulatory Changes
About the role
Key responsibilities & impact- Review and analyze sample inquiries from federal student loan borrowers to assess the accuracy and completeness of servicing guidance
- Develop clear, detailed evaluation rubrics defining correct responses to complex borrower questions
- Evaluate AI-generated answers for accuracy, completeness, and alignment with current federal student loan policies and regulations
- Identify and document errors, omissions, outdated information, and inconsistencies in AI-generated responses
- Apply practical knowledge of federal repayment plans, including income-driven repayment options and Public Service Loan Forgiveness (PSLF)
- Assess complex servicing scenarios involving payment count discrepancies, misapplied payments, loan consolidation, and transfers between loan servicers
- Provide precise, actionable written feedback to improve AI system performance
- Complete assigned evaluations independently and asynchronously while maintaining high standards of accuracy and quality
Requirements
What you’ll need- Strong working knowledge of U.S. federal student loan programs, including federal loan types and repayment options
- Comprehensive understanding of income-driven repayment plans and current federal student loan regulations
- Knowledge of Public Service Loan Forgiveness (PSLF), including qualifying payments and payment count calculations
- Familiarity with deferment, forbearance, delinquency, default, loan rehabilitation, and consolidation
- Ability to identify and resolve student loan servicing issues, including misapplied payments, payment count discrepancies, and loan servicer transfers
- Strong analytical skills and attention to detail when reviewing complex borrower scenarios
- Excellent written communication skills, with the ability to provide clear, accurate, and actionable feedback
- Ability to work independently in a remote, asynchronous environment
- Must be based in the United States
- At least 1 year of professional experience working for a federal student loan servicer or contractor supporting borrowers
- Direct experience in borrower assistance, loan servicing, default management, collections, or escalations
- Experience resolving complex federal student loan servicing problems
- Familiarity with recent regulatory changes and evolving federal student loan repayment policies
- Demonstrated ability to explain complex financial and regulatory concepts clearly and accurately
- Experience evaluating written responses, reviewing documentation, or performing quality assurance assessments
Benefits
Comp & perks- Fully remote work within the United States
- Flexible, asynchronous work schedule
- Part-time commitment of 15–25 hours per week
- Opportunity to contribute professional expertise to innovative artificial intelligence projects
- No prior experience in artificial intelligence or machine learning required