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Remote Risk Adjustment Coder Jobs in Orlando, FL

Worth AI

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform ... for risk detection ** All Remote Hires - will be required to travel to Orlando, Florida at least ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform ... for risk detection ** All Remote Hires - will be required to travel to Orlando, Florida at least ...

Hannover Re

Sr Actuary

Orlando, FL · On-site +1

$113K - $205K/yr

... by writing and running R code utilizing an internal R package. Implement new statistical ... Risk Agility preferred Computer software: Microsoft Suite (Excel, Word, and Outlook), Database ...

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Remote Risk Adjustment Coder information

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$14

$25

$40

How much do remote risk adjustment coder jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote risk adjustment coder in Orlando, FL is $25.66, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $32.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Risk Adjustment Coder, and why are they important?

To thrive as a Remote Risk Adjustment Coder, you need a solid understanding of ICD-10-CM coding, medical terminology, and risk adjustment models, often supported by a coding certification such as CPC, CRC, or CCS. Proficiency with electronic health record (EHR) systems, coding software, and data management tools is essential. Attention to detail, strong analytical skills, and effective communication are crucial soft skills for accurate code assignment and collaboration with healthcare teams. These skills ensure compliance, maximize reimbursement, and support quality healthcare outcomes in a remote environment.

What is a Remote Risk Adjustment Coder?

A Remote Risk Adjustment Coder is a healthcare professional who reviews patient medical records and assigns diagnostic codes from a remote location, typically from home. Their primary goal is to ensure accurate coding for risk adjustment purposes, which helps health plans predict patient healthcare costs and receive appropriate funding. These coders work with electronic health records and must be knowledgeable about coding standards like ICD-10-CM. They play a key role in supporting compliance and maximizing revenue for healthcare organizations. Attention to detail, confidentiality, and proficiency with coding software are essential skills for this remote position.

What is the difference between Remote Risk Adjustment Coder vs Remote Medical Coder?

AspectRemote Risk Adjustment CoderRemote Medical Coder
CertificationsAHIMA or AAPC Risk Adjustment certificationsAAPC CPC, CCS, or RHIT certifications
Work EnvironmentHealthcare insurance, payer organizations, risk adjustment teamsHospitals, clinics, physician offices, insurance companies
Industry UsagePrimarily in health insurance and risk adjustment programsBroad healthcare settings including hospitals and outpatient clinics

Remote Risk Adjustment Coders focus on analyzing patient data for insurance risk models, requiring specific risk adjustment certifications. Remote Medical Coders handle a wider range of medical records coding across various healthcare settings. While both roles involve medical coding, their industries, certifications, and primary tasks differ significantly.

What are the common challenges faced by Remote Risk Adjustment Coders and how can they be managed?

Remote Risk Adjustment Coders often encounter challenges such as interpreting complex medical records, ensuring coding accuracy under tight deadlines, and staying updated with evolving coding guidelines. Managing these challenges typically involves strong attention to detail, proactive communication with team members, and participating in ongoing training sessions or webinars. Utilizing supportive resources and adhering to standardized coding protocols can help coders maintain accuracy and efficiency in a remote setting.

What Does a Remote Risk Adjustment Coder Do?

As a remote risk adjustment coder, your duties and responsibilities involve performing medical coding and reviewing medical codes for adherence to risk adjustment models. Employers may also expect you to audit medical record data to ensure accuracy. In this role, you work from home to apply codes and make assessments according to regulations and your employer’s operational policies. You also report the results of an audit to the relevant supervisor or coding service provider. It’s your job to ensure compliance with rules related to patient privacy and electronic medical record keeping.

More about Remote Risk Adjustment Coder jobs
What are popular job titles related to Remote Risk Adjustment Coder jobs in Orlando, FL? For Remote Risk Adjustment Coder jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Remote Risk Adjustment Coder jobs in Orlando, FL look for? The top searched job categories for Remote Risk Adjustment Coder jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Remote Risk Adjustment Coder jobs? Cities near Orlando, FL with the most Remote Risk Adjustment Coder job openings:
Remote Risk Adjustment Coder jobs near you
Infographic showing various Remote Risk Adjustment Coder job openings in Orlando, FL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $53,380 per year, or $25.7 per hour.

Data Platform Engineer

Worth AI

Orlando, FL • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You’ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.

You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.

Responsibilities

What you’ll do:

  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements

    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.

Nice to Have

    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida

Benefits

    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources