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Remote Emergency Room Coder Jobs in Massachusetts

apiphani

Engineering Manager

Boston, MA · Remote

Remote | Full-time | Reports to: VP of Product & Engineering Apiphani is a technology-enabled ... We're a small but rapidly growing company, which means there's lots of room for growth and learning ...

ARORA ENGINEERS

Regional Facility Manager

Braintree, MA · On-site +1

$115K - $130K/yr

This is a remote based position with up to 25% travel required. Serving as the primary liaison to ... emergency work requests in a 24/7 operating environment. * Maintain accurate work order status ...

ARORA ENGINEERS

Regional Facility Manager

Braintree, MA · Remote

$69K - $89K/yr

This is a remote based position with up to 25% travel required. Serving as the primary liaison to ... emergency work requests in a 24/7 operating environment. * Maintain accurate work order status ...

UnitedHealth Group

Clinical Claim Review RN

Boston, MA · Remote

Nurse licensure (RN or LPN) with a current, active, and unrestricted license in Massachusetts * 2 ... remote/telecommute workspace * Working knowledge of medical terminology and claim coding with ...

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Remote Emergency Room Coder information

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How much do remote emergency room coder jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote emergency room coder in Massachusetts is $23.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $24.95 per hour, depending on experience, location, and employer.

What is a remote emergency room coder?

A Remote Emergency Room Coder is a medical coding professional who reviews and assigns appropriate codes to emergency room (ER) patient records for billing and insurance purposes. They work remotely, ensuring accuracy in coding diagnoses, procedures, and treatments based on clinical documentation. This role requires knowledge of coding systems such as ICD-10, CPT, and HCPCS, as well as familiarity with ER-specific cases. Accuracy and compliance with healthcare regulations are essential to ensure proper reimbursement and minimize claim denials.

What are the key skills and qualifications needed to thrive as a remote emergency room coder?

To thrive as a Remote Emergency Room Coder, you need a strong understanding of medical coding guidelines, emergency medicine terminology, and compliance standards, typically supported by a coding certification such as CCS, CPC, or RHIT. Proficiency in coding software (such as 3M or Optum), electronic health records (EHRs), and familiarity with ICD-10 and CPT coding systems is essential. Excellent attention to detail, strong analytical skills, and effective written communication are standout soft skills for this position. These skills ensure accurate coding, timely billing processes, and clear collaboration with healthcare providers, which are crucial for both patient care and hospital reimbursement.

What are the typical challenges faced by remote emergency room coders, and how can they be managed?

Remote Emergency Room Coders often encounter challenges such as interpreting incomplete or complex medical records and staying updated with frequent coding guideline changes. Managing these challenges involves excellent attention to detail, continuous professional education, and close communication with onsite medical staff when clarification is needed. Working remotely also requires strong self-motivation, time management, and the ability to work independently without direct supervision. Leveraging company-provided resources like training sessions and team collaboration tools can help coders stay efficient and accurate in their work.

What are popular job titles related to Remote Emergency Room Coder jobs in Massachusetts? For Remote Emergency Room Coder jobs in Massachusetts, the most frequently searched job titles are:
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Remote Emergency Room Coder jobs near you
Infographic showing various Remote Emergency Room Coder job openings in Massachusetts as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $48,844 per year, or $23.5 per hour.

Computational Design Research Engineer

Foundation EGI

Boston, MA • On-site, Remote

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
About Us:
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
On this Role:
This role is a mix of a few worlds coming together. You'll be working with machine learning but not in a vacuum it's applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.
We're looking for someone who's strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you're comfortable moving between theory and practical application. If you've spent time around mechanical systems or engineering design, that's a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.
Responsibilities
  • Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
  • Build services for reading, processing, and writing 2D/3D engineering data.
  • Develop rendering modules for generating 2D/3D visual assets.
  • Curate and manage large-scale datasets for learning-based systems.
  • Implement and optimize post-training workflows for machine learning models.
  • Contribute to the development of domain-specific languages for engineering tasks.

What we are looking for
  • 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
  • Proficient in writing clean, modular, and maintainable Python code.
  • Experience with dataset creation and data pipeline development.
  • PhD or MS with a focus in Computational Design, Simulation, or AI.
  • Experience developing CAD/CAM/CAE software tools.
  • Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning.
  • Experience designing or implementing DSLs or compilers.

$100,000 - $140,000 a year
This range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location,and overall alignment with the role.
In addition to base salary, eligible employees may receive:
• Equity participation in the company's long-term success
• Comprehensive benefits package including medical, dental and vision coverage
• Retirement savings benefits
• Generous paid time off and company holidays
• Remote-first work environment
• Fully funded company offsites and team gatherings
• Professional development and learning opportunities
• Home office support and remote work resources
We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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