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Healthcare Payment Reconciliation Reviewer

Review AI-generated payment posting and reconciliation outputs for accuracy and audit readiness — identify misapplied payments, unapplied cash, and posting errors. Contract role for U.S.-based experts, $85/hr, 20+ hours/week.

OpenTrain AI

Medical & Health

Remote Hourly · $85/hr

$85/hr

Compensation

1 country

Eligibility

Expert

Experience

Jul 10, 2026

Posted

Open to applicants in

United States

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About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We help experienced professionals find contract work that leverages domain expertise, consolidate opportunities, and build a durable AI-training portfolio.

For this role OpenTrain is the hiring and contracting organization. Creating an OpenTrain account is free and you’ll manage applications and work through our platform.

Why AI Training Work Matters

AI systems learn from examples and human review. In healthcare revenue-cycle operations, that human work teaches models how to post payments, match remittances, and reconcile cash so automated tools can scale safely.

This type of work is often remote and flexible, and contributors directly shape how AI handles sensitive, audit-ready financial processes in healthcare.

The Role

You will evaluate AI tools used for electronic remittance (ERA/835) processing, payment posting, lockbox reconciliation, bank deposit matching, and cash close reporting. Your reviews and structured feedback will be used to improve posting accuracy and reconcile speed.

This is a contract, part-time role for U.S.-based candidates who can commit 20+ hours per week. Compensation is $85 per hour.

What You'll Do

  • Review AI-generated payment posting outputs, ERA matching recommendations, and reconciliation reports for accuracy and completeness.
  • Reconcile posted payments against bank deposits, lockbox reports, and payer remittances to identify variance.
  • Process and evaluate electronic remittance advice (ERA/835) handling and manual EOB posting scenarios.
  • Identify misapplied payments, unapplied cash, posting errors, and payer adjustment reason code issues.
  • Annotate AI outputs and provide structured feedback to create training data and evaluation ratings that improve model performance.

Requirements

  • 5+ years of experience in cash posting, payment reconciliation, or revenue cycle operations.
  • Minimum 2 years in a management role overseeing payment posting or reconciliation teams.
  • Deep knowledge of ERA/835 processing, EOB interpretation, and lockbox reconciliation.
  • Experience in high-volume payment posting workflows and familiarity with payer remittance adjustment reason codes.
  • Hands-on experience with billing or payment posting systems such as Epic or Athenahealth.
  • Clear written and verbal English communication; must be located in the United States.

Who Should Apply

Apply if you are an experienced revenue-cycle professional who enjoys detailed audit-ready review and teaching systems through structured feedback. Ideal candidates combine technical posting skill with team leadership and a strong understanding of internal controls.

This role fits contractors looking for steady part-time work (20+ hours/week) and who want to influence how AI automates complex healthcare financial workflows.

How It Works / Schedule & Pay

Contract type: part-time contractor. Time expectation: 20+ hours per week. Pay: $85/hour. Language: English. Location: United States only.

You will use OpenTrain to access tasks, review AI outputs, complete structured annotations and evaluation ratings, and submit feedback. Work typically consists of discrete review tasks that can be completed on a flexible schedule within weekly availability commitments.

  • Employment types: Contractor, Part-time.
  • Label tasks include evaluation ratings and data collection on text-based reconciliation outputs.

Next Steps

If this matches your background, create or sign in to your OpenTrain account and submit your application. Include your revenue-cycle experience, examples of systems you’ve used (Epic, Athenahealth, etc.), and leadership history.

Qualified applicants will be invited to assessments that demonstrate ERA/835 interpretation and reconciliation judgment before onboarding to live annotation work.

Ready to apply?

Create a free OpenTrain account and apply for this role in minutes.

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