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Remote Medical Image Deep Learning Jobs (NOW HIRING)

Carbon Robotics

Deep Learning Quality Specialist

Seattle, WA · On-site +1

$72K - $90K/yr

Our office is based in Seattle, WA, but this role can be fully remote. What you'll do: * Audit data ... Fully-paid medical, dental, and vision insurance premiums for you and all dependents * Choice of ...

Carbon Robotics

Deep Learning Quality Specialist

Seattle, WA · On-site +1

$72K - $90K/yr

Our office is based in Seattle, WA, but this role can be fully remote. What you'll do: * Audit data ... Fully-paid medical, dental, and vision insurance premiums for you and all dependents * Choice of ...

NBCUniversal

Senior Deep Learning Engineer

$107K - $146K/yr

They are seeking a Senior Deep Learning Engineer to implement core algorithms at the intersection ... remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets ...

NBCUniversal

Staff Deep Learning Engineer

They are seeking a Deep Learning Engineer to implement core algorithms at the intersection of ... remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets ...

quadric, Inc

Deep Learning Compiler Engineer

$110K - $270K/yr

... deep learning and high performance computing algorithms on the Quadric EPU parallel processor ... Medical, dental, and vision plan options starting on day one * 401(k) retirement plan * Flexible ...

Integrated Management Strategies LLC

Remote Medical Coder

$19.25 - $24.25/hr

... Medical Coder to join our healthcare consulting practice. The role is fully remote within the US ... Personal Development & Learning Opportunities * Skills Development & Certifications * Employee ...

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Remote Medical Image Deep Learning information

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How much do remote medical image deep learning jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for remote medical image deep learning in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Remote Medical Image Deep Learning vs Remote Medical Imaging Technician?

AspectRemote Medical Image Deep LearningRemote Medical Imaging Technician
CredentialsBackground in AI, machine learning, or computer science; often requires advanced degreesCertification in radiologic technology or imaging; typically requires licensing
Work EnvironmentPrimarily remote, focused on data analysis and model developmentRemote or on-site, involved in image acquisition and processing
Industry UsageUsed in healthcare AI development, research, and diagnostics supportUsed in hospitals, clinics, and imaging centers for patient care

Remote Medical Image Deep Learning focuses on developing AI models to analyze medical images, requiring expertise in AI and data science. In contrast, Remote Medical Imaging Technicians handle image acquisition and processing, often with clinical certifications. Both roles are vital in healthcare but differ in skills, responsibilities, and work environment.

More about Remote Medical Image Deep Learning jobs
What cities are hiring for Remote Medical Image Deep Learning jobs? Cities with the most Remote Medical Image Deep Learning job openings:
What are the most commonly searched types of Medical Image Deep Learning jobs? The most popular types of Medical Image Deep Learning jobs are:
What states have the most Remote Medical Image Deep Learning jobs? States with the most job openings for Remote Medical Image Deep Learning jobs include:
What job categories do people searching Remote Medical Image Deep Learning jobs look for? The top searched job categories for Remote Medical Image Deep Learning jobs are:
Remote Medical Image Deep Learning jobs near you
Infographic showing various Remote Medical Image Deep Learning job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.
Deep Learning Quality Specialist

Deep Learning Quality Specialist

Carbon Robotics

Seattle, WA • On-site, Remote

Other

Posted 28 days ago

Job description

As a Deep Learning Quality Specialist at Carbon Robotics you'll be responsible for maintaining our expanding dataset of high resolution images that feed our computer vision algorithms. You will develop a deep understanding of our data annotation practices and assist in diagnosing & fixing complex deep learning models to ensure our products are robust & reliable. You will help the Deep Learning team by performing field tests and identifying issues with models. You'll do whatever it takes - which includes going to the farm - to ensure our customers have reliable and safe products.

Our office is based in Seattle, WA, but this role can be fully remote. 

What you'll do:

  • Audit data to ensure clean and appropriate datasets
  • Look through imagery and correct labels and classifications then give feedback to labelers
  • Work closely with support to help investigate issues and determine what is needed to insure data integrity
  • Review data irregularities detected by automated tooling
  • Validate solutions, document results and record customer feedback
  • Translates field tests, model issues and analyze customer feedback
  • Prepare cases for field personnel to review labels/predictions
  • Help the Deep Learning team prioritize tasks based on impact to customer satisfaction

Knowledge, Skills, and Abilities for Success:

  • Education or professional experience in agronomy & farming or data annotation
  • Highly motivated, independent thinker with great problem solving skills
  • Highly organized with excellent time management to juggle multiple priorities at the same time
  • Collaboration skills to work with customers and internal teams simultaneously
  • High level of attention to detail & the ability to think strategically
  • Detail-oriented, with proven ability to deliver accurate reporting
  • Intermediate to advanced Google Suite and Confluence skills desired
  • Ability to assess high risk situations & make safe independent decisions on a risk based process
  • Traveling required 10-15%

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