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Remote Medical Imaging Machine Learning Jobs in Colorado

bet365

Junior Data Scientist

Denver, CO · On-site +1

$70K - $85K/yr

... machine learning algorithms, statistical concepts, and data analysis techniques. * Strong verbal and written communication skills; comfortable presenting findings and collaborating with remote and ...

Maximus

AI/ML Software Developer

Aurora, CO · Remote

Prepares and structures data for machine learning pipelines, feature engineering, and model ... medical condition, or physical or mental impairment. If you require assistance at any stage of the ...

Maximus

AI/ML Software Developer

Fort Collins, CO · Remote

Prepares and structures data for machine learning pipelines, feature engineering, and model ... medical condition, or physical or mental impairment. If you require assistance at any stage of the ...

Maximus

AI/ML Software Developer

Colorado Springs, CO · Remote

Prepares and structures data for machine learning pipelines, feature engineering, and model ... medical condition, or physical or mental impairment. If you require assistance at any stage of the ...

Maximus

AI/ML Software Developer

Denver, CO · Remote

Prepares and structures data for machine learning pipelines, feature engineering, and model ... medical condition, or physical or mental impairment. If you require assistance at any stage of the ...

Maximus

AI/ML Software Developer

Thornton, CO · Remote

Prepares and structures data for machine learning pipelines, feature engineering, and model ... medical condition, or physical or mental impairment. If you require assistance at any stage of the ...

Maximus

AI/ML Software Developer

Greeley, CO · Remote

Prepares and structures data for machine learning pipelines, feature engineering, and model ... medical condition, or physical or mental impairment. If you require assistance at any stage of the ...

Boulder Imaging Inc

Application Engineer

Louisville, CO · Remote

$70K - $85K/yr

Description Boulder Imaging is seeking an Application Engineer to contribute to the service and ... Specific actions will involve (remote) optical calibration, electrical diagnostics, network system ...

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Remote Medical Imaging Machine Learning information

What is a remote medical imaging machine learning specialist?

A remote medical imaging machine learning specialist is a professional who develops and applies machine learning algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, from a remote location. They work with healthcare providers and researchers to improve diagnostic accuracy and streamline image analysis, often using artificial intelligence techniques. This role typically requires expertise in both medical imaging technologies and advanced machine learning, as well as the ability to collaborate virtually with multidisciplinary teams. Their work helps enable faster, more precise medical diagnoses and can contribute to advances in telemedicine.

What are the key skills and qualifications needed to thrive as a Remote Medical Imaging Machine Learning Specialist, and why are they important?

To excel as a Remote Medical Imaging Machine Learning Specialist, you need a solid background in computer science, mathematics, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field) and experience with machine learning frameworks. Familiarity with technical tools like Python, TensorFlow, PyTorch, and DICOM imaging systems, along with experience in medical imaging data annotation and model deployment, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help differentiate top performers in this field. These competencies ensure the accurate development and deployment of AI models that support clinical decision-making and improve patient outcomes in healthcare environments.

How does a Remote Medical Imaging Machine Learning professional typically collaborate with radiologists and other healthcare experts?

Remote Medical Imaging Machine Learning professionals work closely with radiologists, data scientists, and IT teams to develop and refine AI models for diagnostic imaging. Collaboration often occurs through virtual meetings, shared data annotation platforms, and cloud-based model deployments. Regular feedback from radiologists is essential to ensure the models provide clinically relevant and accurate outputs. This teamwork helps bridge the gap between technical development and real-world clinical needs, leading to more effective and reliable imaging solutions.
What are the most commonly searched types of Medical Imaging Machine Learning jobs in Colorado? The most popular types of Medical Imaging Machine Learning jobs in Colorado are:
What are popular job titles related to Remote Medical Imaging Machine Learning jobs in Colorado? For Remote Medical Imaging Machine Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Medical Imaging Machine Learning jobs in Colorado look for? The top searched job categories for Remote Medical Imaging Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Remote Medical Imaging Machine Learning jobs? Cities in Colorado with the most Remote Medical Imaging Machine Learning job openings:
Remote Medical Imaging Machine Learning jobs near you
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Colorado Springs, CO • Remote

$50 - $90/hr

Part-time

Posted 7 days ago

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. 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.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

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