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Remote 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 ...

General Motors

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ...

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$14

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$35

How much do remote annotation jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for remote annotation in Arizona is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $30.91 per hour, depending on experience, location, and employer.

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

To thrive in a Remote Annotation role, you need meticulous attention to detail, strong analytical skills, and the ability to quickly learn and apply specific data-labeling guidelines. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT and, in some cases, basic knowledge of machine learning concepts or relevant certifications are valuable. Excellent written communication, time management, and the capacity to work independently make a candidate stand out. These abilities ensure high-quality, consistent data labeling crucial for the success of AI and machine learning projects.

What are some common challenges faced by remote annotation professionals?

Remote annotation professionals often encounter challenges such as interpreting ambiguous data, maintaining consistency with guidelines, and managing repetitive tasks without direct supervision. Working remotely also means you need to stay self-motivated and disciplined while communicating clearly with project managers and team members through digital platforms. Adapting to updates in annotation protocols or tool changes can require flexibility and ongoing learning. However, overcoming these challenges can help you develop a highly sought-after skill set and pave the way for advancement into roles such as quality assurance or data analyst positions within the machine learning field.

What is a Remote Annotation job?

A Remote Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train machine learning models. Annotators follow specific guidelines to ensure accuracy and consistency in the data. This work is typically done from home using specialized annotation tools provided by companies or platforms. It is commonly used in AI development, including natural language processing, computer vision, and autonomous systems.

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

Staff Pathologist

SQA Solution

Tucson, AZ • Remote

$45/hr

Other

Posted 21 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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