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Remote Medical Annotation Jobs in Phoenix, AZ (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ...

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Remote Medical Annotation information

See Phoenix, AZ salary details

$47.2K

$76.9K

$103.8K

How much do remote medical annotation jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote medical annotation in Phoenix, AZ is $76,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $89,400.00 per year, depending on experience, location, and employer.

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

To excel as a Remote Medical Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and the ability to interpret clinical data, often supported by a background in healthcare or life sciences. Familiarity with medical annotation platforms, data labeling tools, and sometimes HIPAA certification is typically required. Strong communication, time management, and self-motivation are important soft skills for remote collaboration and meeting project deadlines. These skills ensure the accuracy and reliability of annotated medical data, which is critical for training effective healthcare AI systems.

What is the difference between Remote Medical Annotation vs Remote Medical Transcription?

AspectRemote Medical AnnotationRemote Medical Transcription
Required CredentialsBasic medical knowledge, training in annotation toolsMedical transcription certification, typing skills
Work EnvironmentOnline, flexible, annotation platformsHome-based, transcription software
Industry UsageHealthcare, AI training, data labelingMedical record documentation
Common Search IntentData annotation, AI training jobsMedical transcription jobs, remote transcription

Remote Medical Annotation involves labeling medical data for AI models, requiring medical knowledge and annotation skills. Remote Medical Transcription focuses on converting audio recordings into written reports, needing transcription certifications and typing proficiency. Both roles are remote, but they serve different purposes within the healthcare industry.

What is remote medical annotation?

Remote medical annotation is the process of labeling and categorizing medical images, data, or documents from a distance, often using specialized software. Professionals in this role help train and validate artificial intelligence (AI) models for healthcare applications by accurately identifying features in medical data such as X-rays, MRIs, or clinical notes. The work is typically performed online and requires a strong understanding of medical terminology and practices to ensure precise annotations. Accurate remote medical annotation is essential for improving the reliability and performance of AI-driven medical tools.

What are some common challenges faced by professionals working in remote medical annotation roles, and how can they be addressed?

Remote medical annotation professionals often encounter challenges such as interpreting complex medical images or records without immediate access to colleagues for clarification, maintaining focus during repetitive tasks, and ensuring high accuracy under tight deadlines. To address these, it's helpful to establish clear communication channels with team leads, participate in regular quality assurance checks, and make use of detailed annotation guidelines. Additionally, scheduling breaks and staying updated on medical terminology can help maintain both accuracy and job satisfaction.
What are popular job titles related to Remote Medical Annotation jobs in Phoenix, AZ? For Remote Medical Annotation jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Medical Annotation jobs in Phoenix, AZ look for? The top searched job categories for Remote Medical Annotation jobs in Phoenix, AZ are:
Infographic showing various Remote Medical Annotation job openings in Phoenix, AZ as of July 2026, with employment types broken down into 23% Locum Tenens, 24% Full Time, 14% Part Time, 1% Contract, 37% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $76,859 per year, or $37 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Peoria, AZ โ€ข Remote

$70 - $90/hr

Part-time

Posted 5 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 โ€” 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. Bachelorโ€™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 (Masterโ€™s or PhD) in a relevant field.