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Freelance Remote Risk Adjustment Coder Jobs in Austin, TX

Novoco

Property Compliance Analyst

Austin, TX · On-site +1

$64K - $87K/yr

Some positions at Novogradac may be open to remote or hybrid work arrangements depending on ... adjustments as needed. * Ability to work collaboratively in a team-oriented environment and ...

DomainTools

Senior Distributed Systems Engineer

Austin, TX · Remote

$103K - $141K/yr

Maintain security, including best practices for secure coding standards, on all development ... risk analytics delivered in near real-time. Although we are a remote friendly organization and ...

SpotOn

Staff AI Engineer

Austin, TX · Remote

$210K - $290K/yr

You write code with AI every day. You've built agents that do real work. You have strong ... Automated PR Review - A risk-tiered AI review pipeline where AI handles first-pass review on every ...

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Freelance Remote Risk Adjustment Coder information

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$15

$22

$34

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

As of Jul 16, 2026, the average hourly pay for freelance remote risk adjustment coder in Austin, TX is $22.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $23.85 per hour, depending on experience, location, and employer.

What are Freelance Remote Risk Adjustment Coders?

Freelance Remote Risk Adjustment Coders are healthcare professionals who work independently from various locations to review medical records and assign codes that reflect patients’ health conditions and treatments, focusing on risk adjustment models. Their primary role is to ensure accuracy in coding so that healthcare organizations receive appropriate reimbursement and maintain compliance with regulatory standards. These coders typically work on a contract basis, using secure digital platforms to access records and submit their coding work. They must be highly knowledgeable in ICD-10-CM coding guidelines, risk adjustment methodologies (such as HCC), and HIPAA regulations.

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

Thriving as a Freelance Remote Risk Adjustment Coder requires deep knowledge of medical coding (especially ICD-10-CM), risk adjustment models, and compliance standards, typically verified by certifications like CRC, CPC, or CCS. Proficiency with coding software, EHR systems, and secure remote work platforms is essential for accurate and efficient coding. Strong attention to detail, self-motivation, and reliable communication are vital soft skills for managing independent workloads and collaborating with clients remotely. These abilities ensure accurate risk score calculations, regulatory compliance, and successful client relationships in a virtual work environment.

How do Freelance Remote Risk Adjustment Coders typically manage communication and workflow with healthcare clients and team members?

Freelance Remote Risk Adjustment Coders commonly use secure online platforms and project management tools to receive assignments, submit coded charts, and communicate with healthcare providers or project managers. Maintaining clear and prompt communication via email or dedicated messaging systems is crucial to clarify documentation, resolve coding queries, and ensure deadlines are met. Coders must be proactive in scheduling regular check-ins and staying updated on client-specific guidelines, as workflows can be fast-paced and require strong organizational skills. Collaboration often involves working independently but also participating in virtual meetings or training sessions to stay aligned with team quality standards.
What are the most commonly searched types of Remote Risk Adjustment Coder jobs in Austin, TX? The most popular types of Remote Risk Adjustment Coder jobs in Austin, TX are:
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What cities near Austin, TX are hiring for Freelance Remote Risk Adjustment Coder jobs? Cities near Austin, TX with the most Freelance Remote Risk Adjustment Coder job openings:
Freelance Remote Risk Adjustment Coder jobs near you
Infographic showing various Freelance Remote Risk Adjustment Coder job openings in Austin, TX as of July 2026, with employment types broken down into 81% Full Time, 10% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,228 per year, or $22.2 per hour.
Principal Software Engineer - Next-Generation API & AI Platform Architecture

Principal Software Engineer - Next-Generation API & AI Platform Architecture

SpyCloud

Austin, TX • On-site, Remote

$181K - $235K/yr

Other

Posted 20 days ago

Job description

*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*

We are seeking a Principal Engineer to lead the hands-on architecture and development of our next-generation data and intelligence APIs. This role is deeply technical and execution-focused, responsible for defining API contracts, building production services, and architecting the platform interfaces high-performance throughput, agentic workflows, and external customer integrations.

You will operate at the intersection of distributed systems, data platforms, and agentic orchestration, ensuring our APIs are scalable, governed, observable, and designed for long-term evolution. This role requires strong systems thinking, high-quality implementation standards, and the ability to translate platform strategy into production-grade services.

This is a hands-on engineering role with architectural authority.

What You'll Do:

  • Next-Generation API Architecture
    • Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.
    • Define and enforce API contracts for:
      • Low latency, high throughput endpoints
      • Agentic workflows (tools, actions, state transitions, handoffs)
      • Context retrieval and enrichment
    • Design APIs as durable platform interfaces, not thin wrappers over storage systems.
    • Establish standards for schema governance, payload design, and service boundaries.
  • Agentic & ML Platform Integration
    • Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability.
    • Build API surfaces that expose model outputs safely and consistently.
    • Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services.
    • Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints.
  • Data Platform & Context Hubs
    • Design and implement service layers that sit on top of the gold-layer system of record.
    • Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services.
    • Ensure APIs are aligned with medallion architecture principles and platform data contracts.
    • Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models.
  • Distributed Systems & Reliability
    • Design high-throughput, low-latency services supporting batch and streaming workloads.
    • Implement scalable infrastructure patterns on AWS.
    • Ensure strong observability, error handling, performance tuning, and cost awareness.
    • Drive infrastructure-as-code practices and production readiness standards.
  • Technical Leadership
    • Serve as a senior architectural voice in design reviews.
    • Raise the bar on code quality, system design, and operational rigor.
    • Mentor engineers on API design, distributed systems, and ML integration patterns.
    • Influence platform direction through technical depth rather than organizational authority

Requirements:

  • 10+ years of experience building distributed systems, APIs, or large-scale data platforms.
  • Deep experience designing and implementing customer-facing APIs as long-lived products.
  • Strong understanding of schema governance, versioning strategies, and contract design.
  • Experience productionizing ML models and exposing inference services.
  • Experience designing or integrating agentic or autonomous workflows.
  • Experience building service layers on top of systems of record or semantic data layers.
  • Strong background in distributed systems reliability, observability, and scalability.
  • Proficiency in Go & Python (and/or backend service languages).
  • Hands-on experience with Databricks/Snowflake
  • Strong experience with AWS infrastructure and infrastructure-as-code tools

Nice to Have:

  • AWS services including Redshift, S3, EC2, and related cloud-native tooling.
  • Data stores including Elasticsearch, PostgreSQL, Redis, and graph databases (e.g., Neo4j or AWS Neptune).
  • Experience building high-performance APIs and service layers over heterogeneous data systems.
  • Familiarity with Databricks/Snowflake and/or SageMaker is a plus.
  • Experience in cybersecurity, identity, fraud, or risk systems is a plus.

Base Salary Range: $181,000 - $235,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.

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