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Medical Data Annotation Jobs in Arizona (NOW HIRING)

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

Deer Valley Medical Center Category: Healthcare Support Shift: Evening Department: RAD Nuclear ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Deer Valley Medical Center Category: Healthcare Support Shift: Evening Department: RAD Nuclear ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Sonoran Crossing Medical Center - 33400 N 32nd Ave Phoenix, AZ 85085 Category: Healthcare Support ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Osborn Medical Center - 7400 E Osborn Rd Scottsdale, AZ 85251 Category: Healthcare Support Shift ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Shea Medical Center - 9003 E Shea Blvd Scottsdale, AZ 85260 Category: Healthcare Support Shift: Day ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Osborn Medical Center - 7400 E Osborn Rd Scottsdale, AZ 85251 Category: Imaging Shift: Evening ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Tempe Medical Center - 1500 S Mill Ave Tempe, AZ 85281 Category: Imaging Shift: Night Department ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Sonoran Crossing Medical Center - 33400 N 32nd Ave Phoenix, AZ 85085 Category: Imaging Shift: Day ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Sonoran Crossing Medical Center - 33400 N 32nd Ave Phoenix, AZ 85085 Category: Imaging Shift: Day ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Tempe Medical Center - 1500 S Mill Ave Tempe, AZ 85281 Category: Imaging Shift: Night Department ... Performs data entry operations using appropriate hospital software package. Staff member may be ...

Showing results 21-40

Medical Data Annotation information

See Arizona salary details

$9

$21

$50

How much do medical data annotation jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for medical data annotation in Arizona is $21.67, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $22.17 per hour, depending on experience, location, and employer.

What is a medical data annotation?

A Medical Data Annotation job involves labeling and categorizing medical data, such as patient records, medical images, and clinical notes, to help train artificial intelligence (AI) models. Annotators ensure that AI systems can accurately interpret medical information by applying domain-specific knowledge and following strict guidelines. This role requires attention to detail, familiarity with medical terminology, and sometimes collaboration with healthcare professionals to ensure accuracy.

What are the key skills and qualifications needed to thrive in medical data annotation?

To thrive in Medical Data Annotation, you need a solid understanding of medical terminology, attention to detail, and familiarity with clinical or healthcare data formats, often backed by relevant coursework or experience in healthcare or life sciences. Proficiency with data annotation platforms, medical coding software, and sometimes certifications like HIPAA compliance are highly valued. Strong communication skills, a high level of accuracy, and the ability to work both independently and collaboratively set standout candidates apart. These skills help ensure data integrity and support the development of reliable AI-powered healthcare solutions.

What are the typical challenges faced in medical data annotation?

One of the main challenges in Medical Data Annotation is accurately interpreting complex medical information and ensuring consistency across large datasets. Annotators often work with sensitive patient data, so maintaining confidentiality and adhering to strict data security protocols is essential. The work can be repetitive and detail-oriented, but it is crucial for training reliable medical AI systems. Successful Medical Data Annotation professionals stay motivated by understanding the impact of their work on advancing medical research and patient care.

What are the most commonly searched types of Medical Data Annotation jobs in Arizona?

The most popular types of Medical Data Annotation jobs in Arizona are:

What are popular job titles related to Medical Data Annotation jobs in Arizona?

For Medical Data Annotation jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Medical Data Annotation jobs in Arizona look for?

The top searched job categories for Medical Data Annotation jobs in Arizona are:

What cities in Arizona are hiring for Medical Data Annotation jobs?

Cities in Arizona with the most Medical Data Annotation job openings:

Infographic showing various Medical Data Annotation job openings in Arizona as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% In-person job distribution, with an average salary of $45,071 per year, or $21.7 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Buckeye, AZ • Remote

$70 - $90/hr

Part-time

Posted 19 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.