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Remote Risk Adjustment Coding Jobs in California

Seen Health

Head of Data

Los Angeles, CA · On-site

Own the analytics behind risk adjustment and clinical quality: HCC/RAF capture, care gap closure ... BigQuery), infrastructure-as-code (e.g. Terraform), cloud storage (e.g. GCS), and BI (e.g. Metabase)

Ethos Risk Services

Bill Review Specialist

Lake Forest, CA · On-site +1

$20.25 - $28/hr

Ethos Risk Services is a leading provider of workers' compensation medical management ... Our dynamic Bill Review team is seeking a full-time Bill Review Specialist (REMOTE) to review ...

Block

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... Lead the creation and optimization of existing data models through AI code generation on eventing ...

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Remote Risk Adjustment Coding information

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$23

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

As of Sep 2, 2026, the average hourly pay for remote risk adjustment coding in California is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $22.55 per hour, depending on experience, location, and employer.

What is remote risk adjustment coding?

Remote risk adjustment coding is the process of reviewing and assigning medical codes to patient diagnoses and procedures from a remote location, usually at home. The purpose is to ensure that healthcare organizations accurately report the health status of their patients, which affects reimbursement from health plans. Coders use specialized knowledge of ICD-10-CM coding and risk adjustment models, such as HCC (Hierarchical Condition Category) coding, to capture all relevant chronic conditions. This position requires attention to detail, compliance with regulations, and strong analytical skills.

What are the key skills and qualifications needed to thrive as a remote risk adjustment coder?

To thrive as a Remote Risk Adjustment Coder, you need a solid understanding of medical coding, anatomy, and healthcare regulations, typically backed by a coding certification such as CPC, CRC, or CCS. Familiarity with coding software, electronic health record (EHR) systems, and risk adjustment models like HCC is essential. Attention to detail, critical thinking, and strong written communication are crucial soft skills for interpreting clinical documentation and ensuring coding accuracy. These skills and qualifications are vital to accurately capture patient risk, ensure compliance, and optimize reimbursement for healthcare organizations.

How does working remotely as a risk adjustment coder impact collaboration with healthcare teams and ongoing professional development?

As a remote Risk Adjustment Coder, you'll often collaborate with clinical staff, auditors, and other coders through secure digital platforms and regular virtual meetings. While remote work offers flexibility, it also means that proactive communication is essential to ensure accurate coding and compliance with regulations. Many organizations provide virtual training sessions, access to coding forums, and ongoing education to help you stay updated on industry changes and coding standards. Building relationships with your team and participating in online professional communities can further support your growth and help overcome the isolation that sometimes comes with remote work.

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

AspectRemote Risk Adjustment CodingRemote Medical Coding
CertificationsRHIA, RHIT, CPC, CCSCPC, CCS, CCS-P
Work EnvironmentHealthcare organizations, insurance companiesHospitals, clinics, insurance companies
Industry UsageHealth insurance, risk adjustment programsMedical billing, claims processing

Remote Risk Adjustment Coding focuses on analyzing patient data for insurance risk assessments, requiring specific risk adjustment certifications. Remote Medical Coding involves coding diagnoses and procedures for billing purposes. While both roles require coding certifications, Risk Adjustment Coding emphasizes risk analysis within insurance, whereas Medical Coding centers on billing accuracy.

What are the most commonly searched types of Risk Adjustment Coding jobs in California?

The most popular types of Risk Adjustment Coding jobs in California are:

What are popular job titles related to Remote Risk Adjustment Coding jobs in California?

For Remote Risk Adjustment Coding jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Risk Adjustment Coding jobs in California look for?

The top searched job categories for Remote Risk Adjustment Coding jobs in California are:

What cities in California are hiring for Remote Risk Adjustment Coding jobs?

Cities in California with the most Remote Risk Adjustment Coding job openings:

Remote Risk Adjustment Coding jobs near you
Infographic showing various Remote Risk Adjustment Coding job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $44,138 per year, or $21.2 per hour.

Head of Data

Seen Health

Los Angeles, CA • On-site

Full-time

Re-posted 23 days ago

Job description

About Seen Health
At Seen Health, we are revolutionizing the way senior care is delivered through the PACE (Programs of All-Inclusive Care for the Elderly) model. Backed by top VCs, Seen Health is a culturally-focused, technology-enabled healthcare organization that integrates comprehensive medical care and social support with a high-touch, interdisciplinary approach.
Our mission is to empower seniors to age-in-place with dignity and provide their families peace of mind. We are building upon a proven Home and community based services model to create a culturally-competent and scalable PACE program. We are also building a comprehensive operating system focused on data and workflows that span across systems, processes, people, and care contexts. We want to empower our clinicians and staff with tools that deliver relevant data at the time and site of care and enable them to deliver exceptional care to our participants, which improve clinical outcomes, participant & provider satisfaction, and ultimately our strength as an organization.
We are a mission-driven, multidisciplinary team with deep healthcare, technology, and operations expertise, each inspired by our own personal stories of caring for seniors in our lives. Our name, Seen Health, was chosen to reflect our commitment to provide the highest standard of care to underserved older adults while respecting and incorporating their individual beliefs, heritage, and values, so that they can truly be seen.
Why this role
We are the payer, provider, and tech team, so we sit on something almost no healthcare company has: clinical, claims, financial, and operational data across the entire system, in one place, from day one. You will own that entire data stack as a founding member of the team. You are responsible for building and evolving the data engine at the core of our operations. You get to build the data platform, the intelligence layers on top, and the culture of data-driven decision making in one of the most complex and effective models of healthcare.
What you'll own
  • AI-native data engineering: architect the whole data stack - ingestion, orchestration, warehouse, transformation, and analytics - and direct a fleet of AI agents to build and maintain it. You set the architecture, engineering practices, and quality bar; agents do almost 100% of coding
  • Own the pipelines that reliably move clinical (FHIR/EHR), claims (EDI 837/834/820), pharmacy, financial, operational, and internal data through Dagster, dbt, and BigQuery
  • Build new pathways for data in and out, structured and unstructured: state and payer feeds, vendor SFTP drops, partner APIs, regulatory exports, CMS audit deliverables, plus call recordings, visit notes, faxes, and scanned records that live outside any system of record today
  • Build and evolve a metadata layer that guides humans and agents: a catalog of what data exists and what it means, and a semantic layer on top so every dashboard, analyst, and agent is querying the same definition of "member," "risk score," and "cost of care"
  • Turn data into decisions: ship the metrics, dashboards, and insights that clinicians, operators, finance, and regulators rely on; measure success in decisions made faster and outcomes improved
  • Own the analytics behind risk adjustment and clinical quality: HCC/RAF capture, care gap closure, quality measure reporting, and the burden-of-illness view that connects clinical documentation to financial performance
  • Build the intelligence layer for the company: capture what happens on every call, visit, and meeting through agents and recordings, and turn it into structured signal instead of knowledge that lives in someone's head - then use it to give leadership proactive, org-level visibility into what's breaking before anyone has to ask
  • Lead the data team: hire and manage a mix of internal and external resources, set data roadmap, quality standards, and PHI/security posture
Must-haves
  • Exceptional talent and trajectory: we optimize for slope, not years
  • Deep fluency in SQL and Python, plus the modern data stack: dbt, an orchestrator (e.g. Dagster), a cloud warehouse (e.g. BigQuery), infrastructure-as-code (e.g. Terraform), cloud storage (e.g. GCS), and BI (e.g. Metabase)
  • End-to-end ownership of a 0 → 1 data system: you've architected it, shipped it, and answered for it when it broke
  • AI-native way of working: agents (Claude Code, Codex, or similar) are already your primary way of building, and you know how to direct, review, and verify their work
  • Bias for action, pragmatism, and comfort with ambiguity and evolving objectives, including direct iteration with non-technical users
  • Energized by standing shoulder-to-shoulder with clinicians serving vulnerable elders
Nice-to-haves
  • Healthcare data experience: FHIR/HL7, EDI claims and enrollment files, risk adjustment (HCC/RAF), eligibility, pdf ingestion
  • Event-driven and streaming ingestion patterns, CDC
  • Security-by-design mindset and HIPAA/PHI compliance experience
  • Mandarin, Cantonese proficiency
How we work
Small senior crew • Ship daily • Automate everything • "Build > complain" • Remote with at least quarterly visits to our center.
Location
  • San Francisco or Los Angeles ideal.
  • Relocation benefits available.
Salary & Benefits
  • Salary is competitive and includes benefits.
  • Participation in company equity/stock included.

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