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Remote Coding Decoding Jobs in Seattle, WA (NOW HIRING)

Remote Coding Decoding information

See Seattle, WA salary details

$19

$31

$44

How much do remote coding decoding jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for remote coding decoding in Seattle, WA is $31.19, according to ZipRecruiter salary data. Most workers in this role earn between $25.14 and $37.21 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Coding Decoding Specialist, you need strong analytical abilities, attention to detail, and a background in computer science or data analysis, often supported by relevant certifications. Proficiency with programming languages (such as Python or Java), cryptographic tools, and data management systems is typically required. Excellent problem-solving skills, adaptability, and clear communication help professionals excel in interpreting complex data remotely. These competencies are vital for ensuring accurate code interpretation, effective problem resolution, and secure data handling in a remote environment.

How does a Remote Coding Decoding specialist typically collaborate with distributed teams and ensure effective communication?

Remote Coding Decoding specialists often work closely with software developers, QA engineers, and project managers across different locations. Effective collaboration relies on clear digital communication through tools like Slack, Jira, or Microsoft Teams, as well as regular virtual meetings to align on project requirements and timelines. Proactive documentation and sharing of code, decoding procedures, and troubleshooting steps are essential to keep everyone on the same page. Adapting to different time zones and cultural nuances is also a common aspect of remote teamwork in this role.

What are Remote Coding Decoding jobs?

Remote Coding Decoding jobs involve analyzing, interpreting, and converting data, signals, or messages using specialized algorithms or software while working from a remote location. These roles often require strong problem-solving skills, proficiency in programming languages, and familiarity with data structures and encryption methods. Professionals in this field may work in industries such as telecommunications, cybersecurity, or software development, performing tasks like data transmission, error detection and correction, and secure communication. Working remotely allows for flexibility and collaboration with global teams using online tools.

What is the difference between Remote Coding Decoding vs Remote Data Entry?

AspectRemote Coding DecodingRemote Data Entry
Required CredentialsMedical coding certifications (e.g., CPC, CCS)Basic computer skills, sometimes certifications
Work EnvironmentHealthcare settings, remote clinicsVarious industries, remote offices
Employer & Industry UsageHospitals, clinics, insurance companiesBusinesses, government agencies, retail
Common Search & ComparisonRemote Coding Decoding vs Remote Data Entry

Remote Coding Decoding involves translating medical records into standardized codes for billing and insurance purposes, often requiring specialized certifications. Remote Data Entry focuses on inputting various data into systems, with less emphasis on certifications. Both roles are performed remotely but serve different industry needs and require distinct skill sets.

What are popular job titles related to Remote Coding Decoding jobs in Seattle, WA? For Remote Coding Decoding jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Coding Decoding jobs in Seattle, WA look for? The top searched job categories for Remote Coding Decoding jobs in Seattle, WA are:

Signal Processing Engineer

FYRE Global Limited

Seattle, WA • Remote

Full-time

Posted 19 days ago


Job description

Signal Processing Engineer – Maritime Infrastructure (US, Remote + Quarterly Seattle Visits) Are you the kind of Signal Processing Engineer who likes sitting right at the boundary between hard physics, messy real‐world signals, and cutting‐edge AI? This is a chance to join a very small, well‐funded US stealth startup building frontier undersea / maritime infrastructure – think national‐scale security and next‐generation subsea telecom. You'll be one of the first hires (headcount The environment is early‐stage and highly technical: lots of unknowns, lots of experimentation, and very high expectations.

If you enjoy hacking on real signals, shaping architectures, and using modern AI tools as part of your workflow, this will feel like home. What you'll be doing: Designing and building digital signal processing (DSP) pipelines for high‐volume data coming from distributed maritime / fiber‐based sensing systems Taking raw, noisy, physical signals all the way through decoding, denoising, feature extraction, and into robust, decision‐useful outputs Working closely with the CEO on fiber/optics and DAS/SOP concepts, and with the CTO on integrating your work into the broader hardware/software stack Collaborating with an external ML team so your DSP outputs feed scalable training and inference workflows Helping shape lab and remote experimentation flows – data capture, replay harnesses, automated test runs, configuration management Documenting algorithms, trade‐offs, and system behavior so the platform can scale beyond initial prototypes What we're looking for: Strong, hands‐on experience with digital signal processing (DSP) as a core part of your recent work Solid foundation in physics and/or mathematics (e.g. EE, applied physics, applied math) and comfortable reasoning from first principles Proven experience working with high‐volume data and the practicalities that come with it (throughput, performance, data handling, debugging at scale) A genuine hacker mentality – you like ambiguous, hard problems, moving quickly, and wiring up real lab systems, not just polishing slide decks You already use modern AI tools (LLMs, code assistants, etc.) in your day‐to‐day work and can explain how you integrate and debug them US citizen, comfortable working in a defence‐adjacent / national‐security context Nice to have (but not required): Experience with FPGAs, GPUs, or other accelerators for DSP workloads Background in optical / fiber sensing – especially DAS (Distributed Acoustic Sensing) or SOP (State of Polarization) Experience in domains like seismology, geophysical measurement, or other large‐scale physical sensing systems Location & setup: US‐based, primarily remote Occasional travel to the Seattle area lab (roughly once per quarter, give or take) for on‐site experiments and deep‐dive working sessions with the team If you're a Signal Processing Engineer who wants to work on real hardware, real physics, and real national‐scale problems – while having serious influence over the direction of the system – this is worth a conversation.

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