1

Annotation Jobs in Arizona (NOW HIRING)

Experience in IHC-supervised annotation for tumor identification * Board certification in anatomic pathology * Knowledge of industry best practices * Surgical pathology fellowship trained (preferred ...

Experience in IHC-supervised annotation for tumor identification * Board certification in anatomic pathology * Knowledge of industry best practices * Surgical pathology fellowship trained (preferred ...

Familiarity with AI systems, model evaluation, or data annotation workflows. Why Join Us Work on cutting‐edge AI projects alongside top research labs. Fully remote and flexible -- design your own ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

Solid knowledge of data collection, preprocessing, and annotation for prompt development. * Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face.

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by MRI procedure protocols. Utilizes RIS, PACS and other, ancillary ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

Obtains and evaluates images for technical quality assurance factors including image laterality marking and annotation as required by MRI procedure protocols. Utilizes RIS, PACS and other, ancillary ...

next page

Showing results 1-20

Annotation information

See Arizona salary details

$41.9K

$54.4K

$90.9K

How much do annotation jobs pay per year?

As of May 30, 2026, the average yearly pay for annotation in Arizona is $54,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $54,000.00 per year, depending on experience, location, and employer.

What is an Annotation job?

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 key skills and qualifications needed to thrive in the Annotation position, and why are they important?

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 the typical projects or tasks an Annotation specialist works on throughout the week?

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.

How much does an annotator make?

An annotator's salary typically ranges from $12 to $20 per hour, depending on experience, location, and the complexity of the data being labeled. Many annotators work part-time or freelance, often using tools like labeling platforms or software to complete tasks efficiently.

Is data annotation really paying?

Data annotation jobs can provide a source of income, with pay rates varying based on complexity, platform, and experience. Many companies pay per task or hour, and some roles require basic skills in using annotation tools and understanding data labeling standards. Earnings can be modest but may increase with experience and specialization.
What are the most commonly searched types of Annotation jobs in Arizona? The most popular types of Annotation jobs in Arizona are:
What are popular job titles related to Annotation jobs in Arizona? For Annotation jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Annotation jobs? Cities in Arizona with the most Annotation job openings:
Infographic showing various Annotation job openings in Arizona as of May 2026, with employment types broken down into 17% Full Time, 82% Part Time, and 1% Contract. Highlights an 8% Physical, and 92% Remote job distribution, with an average salary of $54,436 per year, or $26.2 per hour.
Staff Pathologist

Staff Pathologist

SQA Solution

Tucson, AZ • Remote

$45/hr

Other

Posted 29 days ago


Job description

About the job Staff Pathologist
Type: Contract, W2 only
Duration: 12+ months
Location: remote
Pay: $45/hr-$93/hr, DOE
Schedule: M-F, MST business hours
Please note that at this time we are unable to sponsor employment authorization (both new and transfer)
A leading Global Biotech Company is seeking a Staff Pathologist (MD) who has experience diagnosing cancer in any capacity. Position will require a minimum of 20 hours a week and up to 40 hours a week. Any US time zone is acceptable.
Responsibilities:

  • Perform diagnostic pathology analysis to assist in the development of Artificial Intelligence (AI) algorithms for quantitative image analysis
  • Ensure compliance with laboratory and medical regulations
  • Collaborate with medical teams on case reviews
  • Support research and clinical trials through pathology insights
  • Contribute to quality control and assurance processes
Qualifications:
  • Strong background in surgical pathology
  • Experience in IHC-supervised annotation for tumor identification
  • Board certification in anatomic pathology
  • Knowledge of industry best practices
  • Surgical pathology fellowship trained (preferred)

We are an Equal Opportunity employer and welcome talent across all aspects of background, orientation, origin, and identity in an inclusive and non-discriminatory way. Applicants receive consideration without bias and based on the relevant qualifications, talents, skills, experiences, and business needs.