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Entry Level Risk Adjustment Coder Jobs in Columbus, GA

Reveleer

Applied Analytics Intern

Auburn, AL · On-site

$25/hr

... coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data ... Reveleer partners with health plans to power value-based care and risk adjustment programs through ...

reveleer

Applied Analytics Intern

Auburn, AL · On-site

$25/hr

... coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data ... Reveleer partners with health plans to power value-based care and risk adjustment programs through ...

Synovus

AP/AR Specialist

Columbus, GA · On-site

$18.25 - $24/hr

Assigns transaction codes to documents; ensures documents being processed are included in the ... adjustments. * Each team member is expected to be aware of risk within their functional area. This ...

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Entry Level Risk Adjustment Coder information

See Columbus, GA salary details

$14

$24

$38

How much do entry level risk adjustment coder jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level risk adjustment coder in Columbus, GA is $24.61, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $30.96 per hour, depending on experience, location, and employer.

What is an Entry Level Risk Adjustment Coder job?

An Entry Level Risk Adjustment Coder reviews medical records to identify and assign accurate diagnosis codes for risk adjustment purposes. Their work ensures healthcare organizations receive appropriate reimbursement based on patient health conditions. They typically use ICD-10-CM codes and follow guidelines from CMS and other regulatory bodies. This role requires strong attention to detail, knowledge of medical terminology, and an understanding of risk adjustment models. Entry-level coders may work in various healthcare settings, including insurance companies, hospitals, or coding firms.

What are the key skills and qualifications needed to thrive in the Entry Level Risk Adjustment Coder position, and why are they important?

To thrive as an Entry Level Risk Adjustment Coder, you need a strong understanding of medical terminology, anatomy, and ICD-10-CM coding guidelines, typically supported by completion of a coding training program or relevant coursework. Familiarity with coding software, electronic medical records (EMR) systems, and coding certification such as CPC or CRC is often preferred. Attention to detail, analytical thinking, and effective communication are essential soft skills for this role. These skills and qualifications ensure the accurate coding of diagnoses for risk adjustment, compliance with regulations, and contribute to optimal healthcare reimbursement.

What does a typical workday look like for an entry level risk adjustment coder?

A typical day for an entry level risk adjustment coder involves reviewing patient medical records to identify and assign appropriate diagnostic codes based on clinical documentation. You’ll use specialized coding software and electronic health record systems to ensure accuracy and compliance with federal guidelines. Collaboration with senior coders, team leads, and occasionally clinicians is common when clarification or additional documentation is needed. Most entry level coders work in an office or remote environment and spend much of their day analyzing records, updating databases, and participating in training sessions to stay current on coding updates.
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Entry Level Risk Adjustment Coder jobs near you
Applied Analytics Intern

Applied Analytics Intern

Reveleer

Auburn, AL • On-site

$25/hr

Internship

Posted 3 days ago

Job description

Applied Analytics Intern

Location: New Albany, Ohio (minimum of 3 days per week in office)

Duration: 20-40 pre-scheduled hours per week for 8-12 weeks

Education: Rising sophomores and juniors in relevant course of study

Reveleer is a healthcare data and analytics company that uses Artificial Intelligence to give health plans across all business lines greater control over their Quality Improvement, Risk Adjustment, and Member Management programs. With one transformative solution, the Reveleer platform enables plans to independently execute and manage every aspect of enrollment, provider outreach and data retrieval, coding, abstraction, reporting, and submissions. Leveraging proprietary technology, robust data sets, and subject matter expertise, Reveleer provides complete record retrieval and review services so health plans can confidently plan and execute risk, quality, and member management programs to deliver more value and improved outcomes.

Role Overview:

Reveleer partners with health plans to power value-based care and risk adjustment programs through advanced analytics, technology, and clinical expertise. Our work ensures accurate documentation, improved patient outcomes, and more efficient healthcare operations.

Reveleer's Applied Analytics Internship Program is designed as a two-summer experience designed for high-potential undergraduate students interested in healthcare analytics, operations, and artificial intelligence.

This program provides hands-on exposure to both operational workflows and advanced analytics, with a focus on developing and testing AI-driven solutions to improve medical record retrieval processes, which is one of the most critical components of risk adjustment.

Details:

Summer 1: Operations + Applied Experimentation

Interns will be embedded within the Medical Record Retrieval team, where they will:

Learn end-to-end retrieval operations and workflows

Participate directly in retrieval activities to build domain expertise

Collaborate with the Applied Analytics team on experimental AI initiatives

Test and evaluate AI tools designed to improve retrieval efficiency

Help define and track key performance metrics (e.g., turnaround time, yield, accuracy)

Document findings and contribute to process improvement recommendations

Summer 2: Analytics + AI Development

Returning interns will transition into the Applied Analytics team, where they will:

Build and maintain data pipelines supporting retrieval and analytics workflows

Develop and refine algorithms and AI tools to optimize retrieval processes

Analyze large healthcare datasets to identify trends and improvement opportunities

Design experiments to measure the impact of AI-driven interventions

Present insights and recommendations to cross-functional stakeholders

What You'll Gain

  • Deep exposure to healthcare data, risk adjustment, and value-based care
  • Hands-on experience applying AI/ML concepts to real-world operational problems
  • Understanding of how analytics drives measurable business impact
  • Mentorship from experienced analytics and operations professionals
  • Opportunity to return for a second summer with expanded technical ownership

Preferred Qualifications (Ideal Candidates)

  • Experience with data analysis tools (Python, R, SQL, or similar)
  • Familiarity with Excel or data manipulation techniques
  • Exposure to statistics, experimentation, or basic machine learning concepts
  • Ability to translate ambiguous problems into structured analyses
  • Curiosity about how operational processes work and how to improve them
  • Interest in applied AI (not just theory, but someone who wants to build and test things)
  • Strong attention to detail and willingness to engage in hands-on operational work
  • Self-starter mindset with a willingness to take initiative and learn quickly


Compensation:

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

Reveleer E-Verifies all new hires.

Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.