Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 3 days ago

Remote | Financial Aid Advisor — $30–$50/hour

24-MAG343 open roles

Where
New York, United States, Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowRemote | Financial Aid Advisor — $30–$50/hour24-MAG · New York, United States, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on 24-MAG's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. 24-MAG postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 3 days ago

24-MAG median: 1 days open

The posting

We are sharing a specialised remote consulting opportunity for experienced Financial Aid Advisors and Student Loan Counselors with strong expertise in federal student loan repayment, income-driven repayment plans, Public Service Loan Forgiveness (PSLF), loan servicing, and borrower assistance to contribute their professional knowledge to advanced AI training and evaluation initiatives.

Selected professionals will review realistic student loan inquiries, develop structured evaluation criteria, and assess AI-generated responses for accuracy, completeness, and practical usefulness. The work combines direct borrower counseling experience with federal student loan repayment expertise, financial assistance guidance, and technical evaluation to improve how AI systems respond to questions about student loans and repayment options. Prior experience with AI training projects is not required.

Key Responsibilities

Federal Student Loan Inquiry Review

  • Review sample questions concerning federal student loans, repayment obligations, and borrower assistance.
  • Evaluate whether inquiries accurately reflect questions commonly received from student loan borrowers.
  • Identify unrealistic scenarios, unclear requests, and missing information in sample borrower questions.
  • Apply practical counseling experience to assess the relevance and authenticity of student loan inquiries.
  • Recommend improvements to ensure questions reflect realistic borrower circumstances and repayment concerns.

Income-Driven Repayment & Loan Forgiveness Evaluation

  • Develop evaluation criteria for accurate guidance concerning federal student loan repayment options.
  • Assess responses involving income-driven repayment (IDR) plans and related borrower considerations.
  • Review explanations of Public Service Loan Forgiveness (PSLF) and other applicable forgiveness or relief programmes.
  • Identify incomplete, misleading, or inaccurate information concerning repayment and forgiveness requirements.
  • Evaluate whether recommended next steps appropriately address the borrower's stated circumstances.

Loan Servicing, Deferment & Default Management

  • Assess AI-generated guidance concerning federal student loan servicing and borrower account issues.
  • Review information involving deferment, forbearance, and repayment-related assistance.
  • Evaluate responses to questions about delinquency, default, and potential resolution pathways.
  • Identify errors, omissions, and outdated explanations concerning loan servicing or repayment processes.
  • Apply professional knowledge to determine whether proposed guidance is relevant and practically useful.

AI Response Evaluation & Quality Standards

  • Develop structured rubrics defining correct, complete, and useful answers to federal student loan questions.
  • Evaluate AI-generated responses against established accuracy and completeness criteria.
  • Identify factual inaccuracies, missing guidance, outdated information, and unclear explanations.
  • Assess whether responses provide appropriate and actionable information for realistic borrower situations.
  • Document evaluation findings and recommend specific improvements to response quality.

Technical Documentation & Project Collaboration

  • Prepare clear written feedback explaining identified errors and recommended corrections.
  • Document evaluation criteria, repayment considerations, and relevant borrower assistance procedures.
  • Communicate practical insights based on direct experience counseling student loan borrowers.
  • Complete assigned review activities independently within an asynchronous project environment.
  • Maintain high standards of accuracy, consistency, and written communication throughout assigned deliverables.

Ideal Profile

  • Direct professional experience counseling borrowers on federal student loan repayment and forgiveness options.
  • Background in a university financial aid office, nonprofit student loan counseling organisation, or a comparable borrower assistance role.
  • At least 1 year of experience advising borrowers on income-driven repayment plans, PSLF, or other federal student loan repayment and relief options.
  • Demonstrated knowledge extending beyond financial aid award packaging into repayment and borrower assistance.
  • Strong understanding of federal student loan repayment programmes and related borrower responsibilities.
  • Practical familiarity with income-driven repayment (IDR) plans and their application to borrower circumstances.
  • Experience explaining Public Service Loan Forgiveness (PSLF) and related forgiveness considerations.
  • Working knowledge of federal student loan servicing and common borrower account issues.
  • Familiarity with deferment, forbearance, and available repayment assistance mechanisms.
  • Experience advising borrowers experiencing repayment difficulties or loan default.
  • Ability to identify inaccurate, incomplete, or outdated federal student loan guidance.
  • Strong understanding of common borrower questions, repayment concerns, and financial assistance needs.
  • Excellent written communication skills, with an emphasis on clarity, precision, and practical usefulness.
  • Strong analytical reasoning and the ability to evaluate complex borrower scenarios.
  • Demonstrated ability to explain student loan repayment concepts clearly to individuals with varying levels of financial knowledge.
  • Strong attention to detail and ability to apply structured evaluation criteria consistently.
  • Experience providing direct borrower support through telephone, online, or in-person counseling.
  • Ability to work independently and provide clear, actionable written feedback.
  • Strong organisational skills and commitment to accurate, professional financial assistance guidance.
  • Must be based in the United States.
  • Availability to begin promptly and commit 15–25 hours per week.
  • Prior experience with AI model training or evaluation projects is not required.

Engagement Details

  • Freelance / contract engagement
  • Fully remote — United States only
  • Compensation: $30–$50/hour
  • Expected Commitment: 15–25 hours per week
  • Project Duration: Short-term engagement
  • 10 available openings
  • Availability: Candidates should be prepared to begin promptly.
  • Experience Requirement: At least 1 year of direct borrower counseling experience involving federal student loan repayment or relief options.
  • Professional Focus: Federal student loan counseling, repayment assistance, loan forgiveness, servicing issues, and default resolution.
  • Technical Focus: Income-driven repayment (IDR), Public Service Loan Forgiveness (PSLF), deferment, forbearance, and student loan servicing.
  • Responsibilities will include reviewing realistic borrower questions, developing evaluation rubrics, and assessing AI-generated student loan guidance.
  • Assignments will focus on factual accuracy, completeness, appropriate repayment information, and practical usefulness to borrowers.
  • Deliverables will include structured evaluation criteria, written response assessments, and actionable feedback.
  • Work will be conducted remotely through asynchronous collaboration with the project team.
  • Direct experience with repayment counseling and federal student loan assistance is essential; experience limited to financial aid award packaging does not meet the stated requirements.
  • Previous experience with AI training projects is not required.

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against 24-MAG's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on 24-MAG's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    24-MAG's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.