Data Entry Operator

Aston Carter • New York, NY

2d • $45,000 - $60,000 • Remote

About The Position

Aston Carter is seeking experienced healthcare operations professionals to evaluate and improve AI models that support healthcare administration and business workflows. The role applies expertise in areas such as coding, billing, revenue cycle management, documentation integrity, utilization review, payer operations, and compliance to assess AI-generated work against real-world industry standards.

The position is fully remote and offers a flexible schedule, with a minimum commitment of 10 hours per week and no stated weekly maximum. Full-time hours are available. The work involves creating realistic healthcare operations scenarios and supporting materials, reviewing and comparing AI-generated outputs, developing grading rubrics, explaining evaluation decisions, and refining projects created by other professionals. Candidates must be able to work independently, manage projects with minimal oversight, and provide accurate, detailed written feedback. Familiarity with AI tools and cloud-based platforms is helpful.

The posting describes the role as a contract position and also calls it permanent. Compensation is listed as $40–$125 per hour in one section and $45,000–$60,000 per year in another. The position is paid through PayPal, and no benefits are offered. Candidates may be located in the United States, Canada, the United Kingdom, Australia/New Zealand, or Ireland. The posting also gives New York, NY as the position’s base location while specifying that the work is fully remote.

Requirements

• At least 2 years of hands-on healthcare operations experience is preferred.
• Bachelor's degree in progress or completed, or equivalent industry experience.
• Strong knowledge of healthcare documentation, coding, billing, or revenue cycle processes.
• Experience interpreting regulations, coding guidelines, payer policies, and compliance requirements.
• Excellent written communication and analytical skills.
• Ability to identify inaccuracies and explain decisions using industry standards and supporting documentation.
• Strong attention to detail and critical-thinking skills.
• Ability to apply real-world healthcare operations experience to business and reimbursement scenarios.
• Ability to work independently and manage projects with minimal oversight.
• Excellent written English communication skills.
• Ability to meet strong attention-to-detail and quality standards.
• Availability for a minimum of 10 hours per week.
• Comfort with cloud-based platforms and file management systems.

Nice To Haves

• Familiarity with AI tools such as ChatGPT, Claude, or similar technologies.
• Relevant credentials, which may include CPC, CCS, CCA, RHIA, RHIT, CDIP, or CCDS; credentials are preferred but not required.
• Current or recent hands-on healthcare operations experience.
• Strong coding, auditing, billing, clinical documentation integrity, or revenue cycle expertise.
• Extensive experience applying coding guidelines and payer regulations.
• Experience defending coding decisions and documenting rationale.
• Interest in healthcare technology and AI applications.
• Practical production experience, which may be more important than certifications alone.

Responsibilities

• Create realistic healthcare operations scenarios based on professional experience.
• Develop supporting documentation, payer policies, claim information, and workflow examples for evaluation purposes.
• Review AI-generated coding decisions, denial appeals, physician queries, prior authorization determinations, audit reports, and charge reconciliations.
• Compare multiple AI-generated responses and identify errors, omissions, compliance issues, and reasoning flaws.
• Develop detailed grading rubrics defining what a correct and compliant response should include.
• Provide written feedback explaining why responses meet or fail industry standards.
• Review and refine projects developed by other healthcare operations professionals.
• Create and evaluate realistic healthcare operations tasks and review AI-generated outputs as part of ongoing projects.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level