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Annotation Jobs in Phoenix, AZ (NOW HIRING)

YO AI Labs

Healthcare Attorney - Remote

Phoenix, AZ · Remote

$140 - $400/hr

Legal Document Review & Annotation * Policy Analysis * Contract Drafting * U.S. Healthcare Regulatory Knowledge * Written & Verbal Communication * Attention to Detail * Collaboration Preferred ...

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All JobsAnnotation JobsAnnotation Jobs in Phoenix, AZ

Annotation information

See Phoenix, AZ salary details

$44.7K

$58K

$96.8K

How much do annotation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for annotation in Phoenix, AZ is $58,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $57,600.00 per year, depending on experience, location, and employer.

What is an annotation?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What are the typical projects or tasks an annotation specialist works on?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

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

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

What are annotation jobs?

Annotation jobs involve labeling or tagging data, such as images, text, or audio, to help train machine learning models. These roles often require attention to detail and familiarity with annotation tools or software, and they are commonly performed remotely or in a digital environment.

What skills are needed for annotation?

Annotation jobs require strong attention to detail, good reading comprehension, and the ability to follow specific guidelines. Familiarity with data labeling tools and basic computer skills are also important. Accuracy and consistency are essential for producing high-quality annotated data.

What are the most commonly searched types of Annotation jobs in Phoenix, AZ?

The most popular types of Annotation jobs in Phoenix, AZ are:

What are popular job titles related to Annotation jobs in Phoenix, AZ?

For Annotation jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Annotation jobs in Phoenix, AZ look for?

The top searched job categories for Annotation jobs in Phoenix, AZ are:

Annotation jobs near you
Infographic showing various Annotation job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 51% Full Time, 46% Part Time, and 2% Contract. Highlights an 36% Physical, 1% Hybrid, and 63% Remote job distribution, with an average salary of $58,001 per year, or $27.9 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Buckeye, AZ • Remote

$70 - $90/hr

Part-time

Re-posted 12 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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