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Contract Image Annotation Jobs in Arizona (NOW HIRING)

SQA Solution

Staff Pathologist

Tucson, AZ · Remote

$45/hr

Contract, W2 only Duration : 12+ months Location : remote Pay : $45/hr-$ 93/hr, DOE Schedule: M-F ... Experience in IHC-supervised annotation for tumor identification * Board certification in anatomic ...

SQA Solution

Staff Pathologist

Tucson, AZ · Remote

$45/hr

Contract, W2 only Duration : 12+ months Location : remote Pay : $45/hr-$ 93/hr, DOE Schedule: M-F ... Experience in IHC-supervised annotation for tumor identification * Board certification in anatomic ...

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All JobsContract Image Annotation JobsContract Image Annotation Jobs in Arizona

Contract Image Annotation information

See Arizona salary details

$10.3K

$32.4K

$35.9K

How much do contract image annotation jobs pay per year?

As of May 30, 2026, the average yearly pay for contract image annotation in Arizona is $32,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $34,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Image Annotator, and why are they important?

To thrive as a Contract Image Annotator, you need strong attention to detail, visual analysis skills, and familiarity with data labeling standards, often supported by a background in computer science or a related field. Experience with annotation tools such as Labelbox, CVAT, or Supervisely, and understanding of image formats and basic machine learning concepts are typically required. Excellent communication, time management, and the ability to work independently set top annotators apart. These skills ensure high-quality, accurate annotations crucial for developing reliable computer vision models.

What are some common challenges faced by contract image annotators, and how can they be managed effectively?

Contract image annotators often encounter challenges such as repetitive tasks, maintaining high accuracy under tight deadlines, and understanding nuanced annotation guidelines. To manage these effectively, it's helpful to establish a consistent workflow, use annotation tools efficiently, and communicate regularly with the project manager to clarify uncertainties. Additionally, staying organized and taking periodic breaks can help maintain focus and prevent fatigue, leading to better quality and productivity. Collaboration with other annotators through platforms or forums can also provide valuable tips and support.

What is a Contract Image Annotation job?

A Contract Image Annotation job involves labeling or tagging objects, features, or regions within images to help train machine learning models, typically for applications such as computer vision or artificial intelligence. Contractors are hired on a temporary or project basis to perform these annotations according to specific guidelines provided by the client. The work often requires attention to detail and familiarity with annotation tools, and it may be completed remotely or on-site depending on the employer. This role is crucial for creating high-quality datasets that improve the accuracy of AI systems.

What is the difference between Contract Image Annotation vs Data Labeling Specialist?

AspectContract Image AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often requires basic technical skills
Work EnvironmentRemote or on-site, focused on image dataRemote or on-site, may include various data types
Industry UsageAI, autonomous vehicles, healthcareAI, machine learning, data science
Search IntentJob roles focused on image data annotationRoles involving data preparation and labeling

Contract Image Annotation and Data Labeling Specialist roles both involve preparing data for AI models. However, Contract Image Annotation specifically emphasizes annotating images for applications like autonomous vehicles and healthcare, while Data Labeling Specialists may work with various data types across industries. Both roles require attention to detail and technical skills, but Contract Image Annotation is more specialized in visual data.

What are the most commonly searched types of Image Annotation jobs in Arizona? The most popular types of Image Annotation jobs in Arizona are:
What are popular job titles related to Contract Image Annotation jobs in Arizona? For Contract Image Annotation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Contract Image Annotation jobs in Arizona look for? The top searched job categories for Contract Image Annotation jobs in Arizona are:
What cities in Arizona are hiring for Contract Image Annotation jobs? Cities in Arizona with the most Contract Image Annotation job openings:
Contract Image Annotation jobs near you
Staff Pathologist

Staff Pathologist

SQA Solution

Tucson, AZ • Remote

$45/hr

Other

Posted 28 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.

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