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Remote Medical Imaging Machine Learning Jobs in Arizona

SimonMed Imaging

Breast Radiologist- Remote

Scottsdale, AZ · On-site +1

$319K - $399K/yr

SimonMed Imaging is one of the largest outpatient medical imaging providers and physician radiology practices in the United States. With a commitment to innovation, patient-centered care, and ...

SimonMed Imaging

Breast Radiologist- Remote

Scottsdale, AZ · On-site +1

$319K - $399K/yr

SimonMed Imaging is one of the largest outpatient medical imaging providers and physician radiology practices in the United States. With a commitment to innovation, patient-centered care, and ...

SMI IMAGING LLC

Breast Radiologist- Remote

Scottsdale, AZ · On-site +1

$319K - $399K/yr

SimonMed Imaging is one of the largest outpatient medical imaging providers and physician radiology practices in the United States. With a commitment to innovation, patient-centered care, and ...

SMI IMAGING LLC

Breast Radiologist- Remote

Scottsdale, AZ · On-site +1

$319K - $399K/yr

SimonMed Imaging is one of the largest outpatient medical imaging providers and physician radiology practices in the United States. With a commitment to innovation, patient-centered care, and ...

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All JobsMedical Imaging Machine Learning JobsRemote Medical Imaging Machine Learning JobsRemote Medical Imaging Machine Learning Jobs in Arizona

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 Arizona? The most popular types of Medical Imaging Machine Learning jobs in Arizona are:
What are popular job titles related to Remote Medical Imaging Machine Learning jobs in Arizona? For Remote Medical Imaging Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Medical Imaging Machine Learning jobs in Arizona look for? The top searched job categories for Remote Medical Imaging Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Remote Medical Imaging Machine Learning jobs? Cities in Arizona with the most Remote Medical Imaging Machine Learning job openings:
Remote Medical Imaging Machine Learning jobs near you
Infographic showing various Remote Medical Imaging Machine Learning job openings in Arizona as of June 2026, with employment types broken down into 5% As Needed, 78% Full Time, 8% Part Time, 3% Temporary, 3% Contract, and 3% Nights. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Peoria, AZ • Remote

$70 - $90/hr

Part-time

Posted 11 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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