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Remote Medical Coding Trainee Jobs in Edison, NJ

AI Architect Claude Code Senior Developer

NY ยท On-site +1

$160K - $220K/yr

AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not ... Medical, dental, vision insurance 401(k) with employer contribution Generous PTO and holidays Fully ...

This is a fully remote opportunity for a physician with a strong background in utilization review ... Evaluate medical records, diagnostic findings, and treatment plans using evidence-based guidelines

Hospital Billing Operator

Morristown, NJ ยท Remote

$18.75 - $24.25/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... Work with coding, registration, authorization, clinical, and accounts receivable teams to resolve ...

Hospital Billing Operator

Princeton, NJ ยท Remote

$19.25 - $24.75/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... Work with coding, registration, authorization, clinical, and accounts receivable teams to resolve ...

Hospital Billing Operator

Jersey City, NJ ยท Remote

$19 - $24.50/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... Work with coding, registration, authorization, clinical, and accounts receivable teams to resolve ...

Hospital Billing Operator

New York, NY ยท Remote

$20 - $25.75/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... Work with coding, registration, authorization, clinical, and accounts receivable teams to resolve ...

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Remote Medical Coding Trainee information

See Edison, NJ salary details

$17

$22

$24

How much do remote medical coding trainee jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for remote medical coding trainee in Edison, NJ is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.65 and $23.65 per hour, depending on experience, location, and employer.

What is a Remote Medical Coding Trainee?

A Remote Medical Coding Trainee is an entry-level professional who is learning how to assign standardized codes to medical diagnoses and procedures for healthcare billing and record-keeping, all while working from a remote location. Trainees usually work under supervision and may be employed by hospitals, clinics, or third-party billing companies. Training typically involves learning coding systems like ICD-10, CPT, and HCPCS, as well as understanding healthcare regulations and patient privacy laws. This role is ideal for those seeking a flexible, work-from-home career in healthcare administration. Upon successful completion of training and certification, trainees can advance to full medical coder positions.

What are the typical challenges faced by Remote Medical Coding Trainees during the onboarding process?

Remote Medical Coding Trainees often encounter challenges such as adapting to virtual communication with supervisors and team members, grasping complex coding systems like ICD-10 and CPT, and managing productivity without direct in-person guidance. Successful trainees usually develop strong self-discipline, prioritize ongoing learning, and proactively seek feedback to ensure accuracy and compliance. Collaboration tools, regular team check-ins, and mentorship programs are commonly provided to support new hires during their transition.

What are the key skills and qualifications needed to thrive as a Remote Medical Coding Trainee, and why are they important?

To excel as a Remote Medical Coding Trainee, you need a solid understanding of medical terminology, anatomy, and coding systems like ICD-10 and CPT, typically supported by a relevant certification such as CPC or CCS. Familiarity with electronic health record (EHR) systems and coding software is often required for accurate and efficient work. Strong attention to detail, time management, and the ability to work independently are essential soft skills for remote success. These competencies ensure precise coding, compliance with regulations, and productivity in a self-directed, remote environment.

What is the difference between Remote Medical Coding Trainee vs Remote Medical Coding Specialist?

AspectRemote Medical Coding TraineeRemote Medical Coding Specialist
CertificationsBasic coding certifications or noneCertified Professional Coder (CPC) or equivalent
Work ExperienceEntry-level, on-the-job trainingPrevious coding experience required
Work EnvironmentTraining programs, supervised settingsIndependent remote work
Job ResponsibilitiesLearning coding procedures, shadowingAssigning codes, ensuring accuracy

The main difference is that a Remote Medical Coding Trainee is in training, focusing on learning and gaining experience, while a Remote Medical Coding Specialist is an experienced professional responsible for accurate coding tasks independently.

What cities near Edison, NJ are hiring for Remote Medical Coding Trainee jobs? Cities near Edison, NJ with the most Remote Medical Coding Trainee job openings:

AI Architect Claude Code Senior Developer

BluZinc

NY โ€ข On-site, Remote

$160K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Job Description
AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not chatbots, not hype.
We are conducting a confidential search for an experienced AI Business, Solutions and Technical Architect to join a scaled, high-growth US consumer digital business. This role is for a former senior software engineer who now designs and builds production-grade, agentic AI systems. You will not be prompting and hoping for the best. You will be architecting the harness around the model so AI can reliably execute multi-step workflows at scale.
The Mission
Your mandate is to turn AI into a reliable operating system for the business.
Work will progress across three levels:
Level 1: Automate operational processes
Level 2: Automate complex but binary workflows (clear right/wrong outcomes)
Level 3: Apply AI to creative, non-binary work with verification, control, and measurement
Success is defined by measurable wins, not impressive demos
What You Will Do
Architect and build agentic AI systems using Claude Code
Design the AI harness, including:
State management
Context management (preventing context rot)
Tool orchestration
Error recovery strategies
Verification and validation loops
Failure reflection and learning
Define SOPs and system logic before building agents
Apply context engineering (ACE) so AI receives only what it needs - no more, no less
Convert non-binary business problems into binary, measurable questions
Ensure continuous improvement, performance tracking, and cost optimization
Act as the bridge between product vision and technical execution
Required Background
Be US-based (remote within the US)
Have a strong background as a software engineer / senior developer
Have hands-on production experience with Claude Code
Understand that AI โ‰  chat
Be able to clearly define a "win" and measure it
Strong experience across:
LLM & reasoning model fundamentals
Agentic system design and orchestration
APIs, integrations, data architecture, and security
Python, TypeScript / JavaScript, SQL
Cloud platforms (AWS, GCP, or Azure)
How You Think
Build systems and SOPs before agents
Prefer principles over tools
Avoid over-engineering
Read source material, not shiny YouTube summaries
Can deliver an actionable, measurable improvement within 48 hours
Red flags we screen out:
Vague specifications
Tool or framework zealotry
Cool demos that don't survive production
Research-only or academic profiles
Over-engineered solutions
Compensation & Benefits
Bonus:
10-20% annual performance bonus
Based on company results and individual system impact
Benefits include:
Medical, dental, vision insurance
401(k) with employer contribution
Generous PTO and holidays
Fully remote (US-based)
Home office / equipment allowance
Base Salary:
$160,000 - $220,000 USD
What Success Looks Like (6-12 Months)
Multiple AI systems running in production
High multi-step success rates across workflows
Measurable operational or revenue impact
AI treated as infrastructure, not experimentation