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Remote Medical Image Deep Learning Jobs in Colorado

Medpace, Inc.

PhD Medical Physicist

Denver, CO · On-site +1

$90K - $150K/yr

Image reconstruction and analysis (PET/CT, SPECT/CT and/or planar nuclear imaging) * Dosimetry ... Ongoing training and continuous learning opportunities throughout your career * An environment that ...

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

Design, develop, and optimize image processing algorithms. * Apply mathematical and statistical ... remote sensing applications. * Experience with machine learning frameworks and modern AI ...

Location3 Media

Senior Media Strategist

Denver, CO · Remote

$95K - $115K/yr

This is a senior, in-platform role that requires both deep technical knowledge and the strategic ... including medical, dental, vision, matching 401k, wellbeing stipends, and remote work support.

Danaher

Inside Sales Representative (REMOTE)

Denver, CO · On-site +1

$33.65 - $43.27/hr

We bring together deep scientific expertise, an unwavering commitment to quality, and a ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

Danaher

Inside Sales Representative (REMOTE)

Denver, CO · On-site +1

$33.65 - $43.27/hr

We bring together deep scientific expertise, an unwavering commitment to quality, and a ... We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance ...

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All JobsMedical Image Deep Learning JobsRemote Medical Image Deep Learning JobsRemote Medical Image Deep Learning Jobs in Colorado

Remote Medical Image Deep Learning information

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.

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Remote Medical Image Deep Learning jobs near you

Defense AI Alignment Specialist - Remote

micro1 AI

Denver, CO • Remote

$50 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Military Operations & IHL Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Military Operations & IHL Experts to contribute to a prominent defense-policy and humanitarian-law project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. You will leverage your deep understanding of warfighting, weapons targeting, defense operations, and international humanitarian law to support the development of frameworks that responsibly evaluate military and humanitarian scenarios. This is a unique opportunity to influence technology at the intersection of operational expertise and conflict ethics while working alongside other experts at the forefront of these domains.


Scope of Work

  1. Develop comprehensive taxonomies for military-use and defense operations within diverse conflict contexts.
  2. Create dual-use triage frameworks that help distinguish between military and civilian applications of technology and knowledge.
  3. Establish clear boundaries for prohibited assistance under international humanitarian law, providing structured input for AI training and evaluation.
  4. Design conflict-risk rubrics and scenario-based evaluation tools to assess operational and ethical implications of defense activities.
  5. Evaluate and refine policy-relevant benchmarks to ensure responsible testing of AI models in defense and humanitarian contexts.
  6. Contribute written and verbal analyses articulating complex warfighting, targeting, and IHL concepts for interdisciplinary audiences.


Preferred Qualifications

  1. 5+ years of relevant military, defense analysis, or IHL experience; ideally 8–20 years for senior contributors.
  2. Advanced degree (e.g., MA, LLM, PhD) or equivalent operational experience in military science, security studies, international law, or related fields.
  3. High credibility and established track record in warfighting, operational planning, targeting law, or humanitarian law application.
  4. Expertise in interpreting and applying conflict ethics, IHL, and defense policy frameworks in real-world scenarios.
  5. Exceptional written and verbal communication skills, with the ability to convey technical and ethical concepts clearly and concisely.
  6. Experience in research, policy analysis, or advisory roles within military, governmental, legal, or think-tank environments.
  7. Prior involvement with conflict analysis, war-crimes investigation, or weapons-policy development is a strong plus.

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