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Remote Coder Jobs in Bethesda, MD (NOW HIRING)

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Remote Coder information

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How much do remote coder jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote coder in Bethesda, MD is $29.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $37.07 per hour, depending on experience, location, and employer.

What is a remote coder?

A Remote Coder is a professional who writes and maintains computer code for software applications while working from a location outside of a traditional office, often from home or any place with internet connectivity. Remote Coders collaborate with teams using online tools and are responsible for tasks such as debugging, code reviews, and implementing features. This role offers flexibility and may require strong communication skills and self-motivation to meet project deadlines. Remote Coders can work in various industries, including technology, healthcare, and finance.

What does a remote coder do?

Remote medical coders handle patient information to ensure their medical services are billed properly to their insurance company. This administrative position is sometimes referred to as medical records technicians or health information technicians. Unlike coders who work in the office, remote medical coders work from home or another location outside of the office. Remote medical coders collect, research, and file patient medical information. As a remote medical coder, your primary responsibilities include making sure that all the data in a patient’s record is accurate and up-to-date, organizing patient data within multiple databases, and using medical codes to determine reimbursement for insurance billing purposes.

What are the key skills and qualifications needed to thrive as a remote coder, and why are they important?

To thrive as a Remote Coder, you need in-depth knowledge of medical coding systems, anatomy, and healthcare regulations, typically supported by a certification such as CPC, CCS, or CCA. Familiarity with electronic health records (EHR) software, coding tools like ICD-10-CM/PCS, CPT, and online coding platforms is essential. Strong attention to detail, time management, and self-motivation are critical soft skills for accuracy and productivity in a remote setting. These skills ensure precise coding, compliance with healthcare standards, and reliable performance while working independently.

What are some common challenges faced by remote coders and how can they be effectively managed?

Remote coders often encounter challenges such as maintaining clear communication with team members across time zones, managing distractions in a home environment, and staying motivated without in-person supervision. To address these, it's important to utilize collaboration tools (like Slack or Zoom), set up a dedicated workspace, and establish a structured daily routine. Regular check-ins with your team and proactive communication can also help ensure alignment on project goals and deadlines.

What is the difference between Remote Coder vs Medical Biller?

AspectRemote CoderMedical Biller
Required CredentialsCertification in medical coding (e.g., CPC)Certification in medical billing or coding (e.g., CPC, CPC-A)
Work EnvironmentRemote or in healthcare facilitiesRemote or in healthcare offices
Industry UsageHealthcare, insurance companies, hospitalsHealthcare providers, billing companies, hospitals
Job FocusAssigning codes for diagnoses and proceduresProcessing insurance claims and payments

Remote Coders primarily focus on reviewing medical records and assigning appropriate codes for billing and documentation, while Medical Billers handle submitting claims and following up on payments. Both roles often require similar certifications and can be performed remotely, but their core responsibilities differ within the healthcare revenue cycle.

Can you work remotely as a remote coder?

Remote coders can work from anywhere with a reliable internet connection, as many coding jobs are fully remote. These roles often require proficiency in programming languages, collaboration tools, and sometimes specific certifications, but location is generally flexible. Employers may have different policies, so it's important to confirm remote work options for each position.

How much do remote coders make from home?

Remote coders typically earn between $40,000 and $80,000 annually, depending on experience, certifications, and specialization. Skilled coders with certifications like CPC or CCS and proficiency in coding software can earn higher salaries, especially with several years of experience working independently or for healthcare organizations.

What are the most commonly searched types of Coder jobs in Bethesda, MD?

The most popular types of Coder jobs in Bethesda, MD are:

What are popular job titles related to Remote Coder jobs in Bethesda, MD?

For Remote Coder jobs in Bethesda, MD, the most frequently searched job titles are:

What job categories do people searching Remote Coder jobs in Bethesda, MD look for?

The top searched job categories for Remote Coder jobs in Bethesda, MD are:

What cities near Bethesda, MD are hiring for Remote Coder jobs?

Cities near Bethesda, MD with the most Remote Coder job openings:

Infographic showing various Remote Coder job openings in Bethesda, MD as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 22% In-person, and 78% Remote job distribution, with an average salary of $61,200 per year, or $29.4 per hour.

Senior Machine Learning Engineer, Radar & Remote Sensing

Chantilly, VA β€’ On-site, Remote

NT Concepts
IT ServicesΒ β€’Β 51 - 200 employees

$128K - $177K/yr

Full-time

Posted 25 days ago


Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you. We tackle hard problems to meet our clients' needs.

We are looking for an applied engineer to own our radar and ML technical stack. This is a blended role at the intersection of radar/SAR simulation, machine learning, scientific software, and compute infrastructure.

The ideal candidate is not a pure data scientist or a pure signal processing engineer. They are a technical owner who can move across the stack: from radar simulations and data preprocessing to ML model development, local GPU/compute setup, and hand-offs of radar products to software and hardware teams.

Clearance: Active TS/SCI clearance. US Citizenship is required.

Location: Chantilly, VA (Monday-Thursday Onsite & Friday Remote)

Responsibilities:Β 

  • Act as a technical liaison, fostering effective communication and collaboration between radar engineering, machine learning, software engineering, and operation teams.Β 
  • Develop and maintain robust radar and SAR simulation pipelines, including synthetic data generation, scene/return modeling, and validation workflows.
  • Design, build and refine end-to-end ML models and pipelines for radar-related tasks, including preprocessing, training, evaluation, and deployment-ready packaging.
  • Utilize and analyze defense-focused datasets, including radar, 3D models, Electro-Optical/Infrared (EO/IR), and sensing-adjacent data.
  • Create radar products and technical deliverables for internal software teams and hardware partners, including APIs, data schemas, containers, documentation, and integration guidance.
  • Design, configure, and optimize local compute environments, including GPU/eGPU setups, remote compute, storage, networking, containerization, and benchmarking.
  • Support ML inference/training on constrained or embedded compute, with awareness of systems such as RFSoCs, FPGAs, and related hardware constraints.
  • Collaborate with RF/hardware partners to support internal RF code processing, radar outputs, and productization of deployable radar hardware
  • Help deploy and maintain web applications and internal tools on classified or restricted networks.
  • Contribute to technical writing, SBIR proposals, and system documentation.

Β Required Qualifications:Β 

  • Deep experience in Synthetic Aperture Radar, non-imaging radar, remote sensing, or signal processing
  • Solid understanding of radar/SAR fundamentals, including:
    • I/Q and complex-valued data
    • Simulation techniques
    • Image formation algorithms and radar-to-image pipelines
    • Coherent vs. incoherent processing
  • Proven track record of experience with radar or remote sensing simulations
  • Strong proficiency with scientific Python libraries:
    • NumPy, PyTorch, SciPy, Matplotlib, Jupyter, and related scientific stacks
  • Demonstrated ability to build end- to-end ML pipelines encompassing:
    • Data preprocessing
    • Training
    • Evaluation
    • Versioning
    • Packaging
    • Hand-off to other engineers
  • Hands-on experience with GPU compute, such as:
    • PyTorch
    • CUDA
    • NVIDIA tooling
    • Remote GPU Servers
    • Local GPU compute
  • Ability to explain radar/ML concepts to non-radar engineers and produce clear technical deliverables
  • Adherence to robust software engineering principles and best practices (e.g. clean code, testing, version control).
  • Exceptional communication skills, with the ability to clearly articulate complex radar and ML concepts to both technical and non-technical audiences, and to produce high-quality technical documentation and deliverables.

Β Preferred Skills/Experience:

  • Experience with Xpatch simulations specifically
  • Experience with CAD and or artistic 3D modeling skills
  • Experience with EO/IR or multi-sensor fusion
  • Experience with adversarial imaging AI
  • Understanding of RFSoCs, FPGAs, HLS, quantization, or edge deployment constraints
  • Experience designing or optimizing local compute servers / GPU clusters / eGPU configurations
  • Experience working with RF hardware partners or hardware-in-the-loop systems
  • Experience with LLMs, LoRA fine-tuning, or local model deployment for niche tasks
  • Experience with container computing and orchestration

Physical Requirements:Β 

  • Prolonged periods sitting at a desk and working on a computerΒ 
  • Must be able to lift up to 10-15 pounds at timeΒ 

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