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Remote Flexible Risk Adjustment Coder Jobs in Kansas

This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from ... Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end ...

CUSTOMER SERVICE ASSOCIATE

Topeka, KS · Remote

$35K - $55K/yr

We are a fully remote company, which allows us to recruit top talent from across the country. Grade ... Share insights with management regarding enhancements/adjustments to improve overall company ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Experience with cloud automation and infrastructure-as-code (IaC) toolsets, primarily ...

Senior Fire Life Safety Engineer

Lenexa, KS · On-site +1

$98K - $134K/yr

... not only code compliant but also aligned with operational risk, equipment layout and process ... Some consideration may be made for highly skilled and Lead engineers in other remote locations. We ...

Flexible, inclusive culture - 70% remote workforce, 66% women-led teams Learn more about our core ... Risk management plans (RMPs) * Periodic adverse drug experience reports (PADERs) * Addenda to ...

This is a remote position, but all candidates must reside in one of the following states: NE, IA ... The level may impact the salary range and these adjustments would be clarified during the offer ...

Flexibility is available for a hybrid work environment or fully remote. The successful candidate ... Risk (REF/RMP), Project Management Plan (PMP), Project Quality Plan (QP), Project Safety (PSP), and ...

$54 - $71.25/hr

Ability to prototype in low-code/no-code tools is a must. Strong analytical and measurement skills ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

$54 - $71.25/hr

Ability to prototype in low-code/no-code tools is a must. Strong analytical and measurement skills ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Senior Engineering Manager, DevOps

Kansas, KS · On-site +1

$114K - $147K/yr

... as Code (IaC), and scalable build systems. In this role, you will lead a high-impact team ... Location - We are flexible on remote working from home, if you are located in the USA and reside in ...

... services in a fully remote capacity as a 1099 contractor. This position provides maximum ... Total control over your patient volume and setting your own flexible schedule. * Professional ...

$46.75 - $61.75/hr

... risk. It's more important than ever to be able to remotely monitor and manage network ... As a Senior Software Developer at Auvik, you'll be part of an agile team of coders, developing a ...

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Remote Flexible Risk Adjustment Coder information

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

To thrive as a Remote Flexible Risk Adjustment Coder, you need a strong grasp of medical coding standards (ICD-10-CM), risk adjustment models, and a certification such as CPC, CRC, or CCS. Proficiency with coding software, EHR systems, and secure remote communication tools is typically required. Attention to detail, time management, and strong analytical and communication skills help ensure accuracy and effective remote collaboration. These skills are vital for precise coding, regulatory compliance, and supporting accurate healthcare reimbursements in a remote work environment.

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

AspectRemote Flexible Risk Adjustment CoderRemote Risk Adjustment Coder
CertificationsAHIMA or AAPC certifications, CPC or CCSSame certifications as flexible role
Work EnvironmentFlexible hours, remote workPrimarily remote, with some flexibility
Employer UsageHealth plans, insurance companies, healthcare providersSimilar employer types, often overlapping
Search IntentFlexible scheduling, remote work optionsGeneral risk adjustment coding roles

The Remote Flexible Risk Adjustment Coder offers more scheduling flexibility compared to the standard Remote Risk Adjustment Coder, while both roles require similar credentials and are used in comparable healthcare settings. The flexible role is ideal for those seeking adaptable hours within the same industry.

How does a Remote Flexible Risk Adjustment Coder typically collaborate with healthcare providers and other coding professionals?

As a Remote Flexible Risk Adjustment Coder, collaboration often occurs through secure digital platforms, regular virtual meetings, and shared documentation tools. You may work closely with healthcare providers to clarify medical records and ensure coding accuracy, as well as coordinate with other coders to maintain consistency and compliance. Strong communication skills and responsiveness are essential, as much of the interaction is asynchronous and relies on clear documentation. This teamwork helps ensure accurate risk adjustment coding, supporting healthcare organizations in meeting regulatory and reimbursement standards.

What is a Remote Flexible Risk Adjustment Coder?

A Remote Flexible Risk Adjustment Coder is a healthcare professional who reviews and assigns diagnostic codes to patient records from a remote location, often with flexible hours. Their main role is to ensure that medical diagnoses are accurately captured for risk adjustment purposes, which helps healthcare organizations receive appropriate reimbursement from insurers. They typically analyze electronic health records, identify relevant conditions, and code them based on established guidelines. This job requires knowledge of medical terminology, coding systems like ICD-10, and a strong attention to detail. Working remotely allows for a flexible schedule, making it a popular option for experienced coders.
What are popular job titles related to Remote Flexible Risk Adjustment Coder jobs in Kansas? For Remote Flexible Risk Adjustment Coder jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Flexible Risk Adjustment Coder jobs in Kansas look for? The top searched job categories for Remote Flexible Risk Adjustment Coder jobs in Kansas are:

Staff Machine Learning Engineer - Wildfire

Overstory

On-site, Remote

Other

Re-posted 9 days ago


Job description

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You'll help shape the next generation of Overstory's modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You'll Do

In collaboration with data, ML, and science colleagues, you will:

  • Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
  • Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
  • Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
  • Build reproducible experimentation frameworks and model evaluation workflows.
  • Scale models from research to production with a focus on performance, reliability, and explainability.
  • Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
  • Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
Skills & Experience
  • Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
  • 10+ years of experience designing and building production-grade ML pipelines and systems 
  • Strong background in deep learning, computer vision, or remote sensing
  • Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring
  • Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
  • Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
  • Strong communication skills and ability to collaborate across technical and scientific domains
  • Comfortable leading architectural discussions and mentoring other engineers
Nice To Have
  • Background in wildfire science, forestry, or remote sensing
  • Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
  • Experience in model interpretability and data provenance for environmental ML systems
  • Experience with deep learning models for weather or climate data
  • Experience in remote-first or globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, coworking and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis