ZipRecruiter

Log In

1

Hourly Dental Rcm Jobs (NOW HIRING)

AirPay

Healthcare Data Analyst

Manhattan, NY · On-site

We're hiring the person who finds what those reports leave out. * Healthcare data, payer analytics, insurance operations, or RCM background: Dental not required, but you need to understand how ...

RCM HealthCare Travel

PA · On-site

$50 - $55/hr

... Temporary (Hourly) Roles * Comprehensive benefits that include medical, dental, and vision ... RCM Healthcare Services is Joint Commission certified, reflecting a commitment to quality ...

RCM HealthCare Travel

PA · On-site

$50 - $55/hr

... Temporary (Hourly) Roles * Comprehensive benefits that include medical, dental, and vision ... RCM Healthcare Services is Joint Commission certified, reflecting a commitment to quality ...

next page

Showing results 1-20

All JobsHourly JobsHealthcare JobsDental JobsDental Office Assistant JobsHourly Dental Rcm Jobs

Hourly Dental Rcm information

See salary details

$19

$42

$57

How much do hourly dental rcm jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for hourly dental rcm in the United States is $42.29, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $48.08 per hour, depending on experience, location, and employer.

What is an hourly dental RCM?

An Hourly Dental RCM (Revenue Cycle Management) professional is responsible for managing and optimizing the financial processes of a dental practice on an hourly basis. Their duties often include insurance verification, claims submission, payment posting, patient billing, and resolving payment discrepancies. By working hourly, these professionals offer flexible support to dental offices, helping to maximize revenue and ensure timely payments. Their expertise helps practices maintain healthy cash flows and reduces the administrative burden on clinical staff.

What are the key skills and qualifications needed to thrive as an hourly dental RCM?

To thrive as an Hourly Dental RCM specialist, you need a thorough understanding of dental billing, insurance claims processing, and knowledge of dental terminology, often supported by experience or certification in dental billing or health information management. Familiarity with dental practice management software (such as Dentrix, Eaglesoft, or Open Dental) and electronic claims submission systems is typically required. Strong attention to detail, problem-solving abilities, and effective communication with patients and insurance companies are essential soft skills in this role. These skills ensure accurate and timely revenue collection, minimize claim denials, and support the financial health of the dental practice.

What are some common challenges faced by hourly dental RCM professionals, and how can they be addressed?

Hourly Dental RCM (Revenue Cycle Management) professionals often encounter challenges such as managing claim denials, staying up-to-date with changing insurance policies, and handling high volumes of billing tasks efficiently. To address these challenges, it is important to maintain meticulous attention to detail, communicate regularly with insurance providers, and utilize dental billing software to streamline processes. Building strong relationships with both the clinical team and patients also helps in collecting accurate information and resolving billing discrepancies promptly.

What is the difference between Hourly Dental Rcm vs Dental Billing Specialist?

AspectHourly Dental RcmDental Billing Specialist
CredentialsTypically requires certification in revenue cycle management or dental billingUsually certified in dental billing or coding
Work EnvironmentDental offices, clinics, or healthcare organizationsDental offices, billing companies, or healthcare providers
Job FocusOverseeing entire revenue cycle, including claims, payments, and collectionsProcessing and submitting dental insurance claims, patient billing

Hourly Dental Rcm professionals manage the full revenue cycle in dental practices, including claims and collections, often requiring broader knowledge. Dental Billing Specialists focus mainly on submitting claims and billing tasks. Both roles are essential in dental revenue management but differ in scope and responsibilities.

More about Hourly Dental Rcm jobs

What cities are hiring for Hourly Dental Rcm jobs?

Cities with the most Hourly Dental Rcm job openings:

What are the most commonly searched types of Dental Rcm jobs?

The most popular types of Dental Rcm jobs are:

What states have the most Hourly Dental Rcm jobs?

States with the most job openings for Hourly Dental Rcm jobs include:

What are popular job titles related to Hourly Dental Rcm jobs?

For Hourly Dental Rcm jobs, the most frequently searched job titles are:

Hourly Dental Rcm jobs near you
Infographic showing various Hourly Dental Rcm job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $87,963 per year, or $42.3 per hour.

Healthcare Data Analyst

Manhattan, NY • On-site

AirPay
See more jobs at AirPayexternal

Full-time

Re-posted 13 days ago

Job description


About AirPay
AirPay automates dental insurance verification and revenue cycle workflows for dental practices. We process millions of eligibility and benefit transactions annually, sourcing data from payer portals, EDI pipelines, and direct connections. Our data team sits at the intersection of scraper engineering, payer operations, and product, turning raw benefit data into actionable outputs for practices and their patients.
The Role
We're looking for someone whose job is to find what's silently wrong or missing in our benefit data, before a practice or a patient does. This isn't a reporting role and it isn't a dashboard role: the deliverable is catching the problem everyone else's tidy summary missed. Coverage that reads "active" but lapsed last month. A field that comes back blank and gets quietly treated as "no benefit." A payer whose data looks clean until you notice an entire location's records are null. You'll own a slice of our verification pipeline (a set of payers, a data domain, a monitoring surface) and run it: surface what actually matters, with evidence, without needing every anomaly pointed out to you first. You'll report to the Head of Data and work as a peer-level collaborator with engineering, customer success, and operations.
What You'll Own
  • Data quality investigations: Run structured investigations into benefit data anomalies across 100+ payers. Triggers are both scheduled (cohort comparisons between data sources: portal-scraped vs EDI vs internal estimates) and signal-driven (customer escalations, operational reports). Output is engineer-actionable findings documents: what's broken, where, what evidence, and critically, what's wrong that nobody flagged. Common patterns include coverage-percentage inversions, blank-fill in returned data passed off as a real answer, frequency-normalization gaps (such as "12 months" vs "1 service year"), and stale data carrying across plan changes.
  • Completeness and accuracy monitoring: Own a monitoring surface and define what "healthy" looks like for it, then catch when reality drifts from it. The hard part isn't building the dashboard; it's noticing the gap the dashboard doesn't show.
  • Customer issue triage analysis: Own the weekly pattern analysis on customer-issue tickets. Categorize ticket types, track volume trends, identify recurring root causes, and surface signal that drives parser fixes, product changes, or QA process updates.
  • Ad hoc investigations: When a payer behaves unexpectedly or a hypothesis needs checking, you scope and run the investigation and write up the findings, starting from a vague "something looks off," not a pre-scoped ticket.

Requirements
What We're Looking For
Required:
  • 3 to 5 years where finding what's missing or wrong was the job: data quality, completeness and validation, data audit, reconciliation, or investigative analytics. If your prior work was producing clean reports and dashboards, this is a different role. We're hiring the person who finds what those reports leave out.
  • Healthcare data, payer analytics, insurance operations, or RCM background: Dental not required, but you need to understand how benefit structures work (coinsurance, deductibles, frequency limits, network tiers).
  • Strong data skills: comfortable in SQL and Excel/Sheets, can write a structured query, build a pivot, and sanity-check a dataset without hand-holding. More important than tooling breadth is the instinct to distrust a clean-looking result and dig until you know why it's clean.
  • Self-directed ownership of an area. Point you at a payer, a domain, or a surface, and you run it: scope the questions, find the issues, frame them for a business audience, without per-step direction.
  • Clear written communication: Output is findings documents and structured reports, not just raw data.

Strong plus:
  • EDI X12 familiarity (270/271 eligibility transactions especially).
  • Experience at a health tech company, payer, or benefits administrator.
  • Comfort with Python or scripting for data manipulation.
  • Experience with parser output, portal data, or unstructured benefit text.

Growth Path
This is the first analyst hire on a growing data team. Several surfaces you'd eventually own, such as the data quality scorecard, deeper engineering interfaces, and the team's operating rhythm, are still being built. You'd help shape them rather than inherit fully-formed processes. The role anchors day-one as a data-quality specialist owning a defined slice of the pipeline, with specialization paths opening as the team matures: EDI and payer-depth analysis, customer-facing analytics delivery, or clinical/dental content expertise.
Why This Role
  • High-signal, low-noise work: you'll see anomalies across the entire benefit landscape before anyone else does, and you're the one trusted to catch them.
  • Direct impact: your findings drive parser fixes, product features, and QA standards.
  • Small team with high ownership: no queuing behind a data engineering backlog.
  • Comp: competitive for mid-level healthcare data roles in NYC.

Apply