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Full Time Remote Risk Adjustment Coder Jobs in Jackson, MS

.Net Developer

Jackson, MS · Remote

$82K/yr

Remote. Candidate must be in the US and video-capable during work hours in EST. Candidates must ... Perform code reviews and provide constructive feedback to ensure code quality and consistency ...

Conduct inpatient coding audits on medical records, utilizing ICD-10-CM, CPT, and appropriate ... Benefits for Full-Time employees: Medical, Dental, Vision, 401k Savings Plan w/match, 2 weeks of ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

Decision Scientist

Jackson, MS · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... Some coding experience required, with comfort writing and reviewing analytical code end-to-end.

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Full Time Remote Risk Adjustment Coder information

See Jackson, MS salary details

$15

$18

$20

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

As of May 29, 2026, the average hourly pay for full time remote risk adjustment coder in Jackson, MS is $18.74, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $19.90 per hour, depending on experience, location, and employer.

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

AspectFull Time Remote Risk Adjustment CoderFull Time Remote Medical Coder
CertificationsRHIT, RHIA, CCS, CPCCPC, CCS, RHIT
Work EnvironmentRemote, healthcare insurance companies, risk adjustment teamsRemote, hospitals, clinics, healthcare facilities
Industry UsageHealth insurance, risk adjustment programsHospitals, clinics, healthcare providers
Job FocusAnalyzing diagnoses for risk scores, coding for risk adjustmentMedical record coding, billing, and documentation

The main difference is that Full Time Remote Risk Adjustment Coders focus on analyzing diagnoses to support risk scores for insurance reimbursement, often requiring specific certifications like RHIT or CCS. Full Time Remote Medical Coders handle general medical coding for billing and documentation, with certifications like CPC or CCS. Both roles are remote but serve different purposes within the healthcare industry.

What are the most commonly searched types of Remote Risk Adjustment Coder jobs in Jackson, MS? The most popular types of Remote Risk Adjustment Coder jobs in Jackson, MS are:
What are popular job titles related to Full Time Remote Risk Adjustment Coder jobs in Jackson, MS? For Full Time Remote Risk Adjustment Coder jobs in Jackson, MS, the most frequently searched job titles are:
Remote Data Scientist & AI Trainer - Shape AI Reasoning

Remote Data Scientist & AI Trainer - Shape AI Reasoning

DataAnnotation

Jackson, MS • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr