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Remote Annotation Jobs in Arizona (NOW HIRING)

Video Annotation Specialist Job Type: Contractor Location: Remote Role Overview We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms ...

New

Video Annotation Expert Role Type: Contractor Location: Remote About the Role We are looking for detail-oriented professionals to support AI training and evaluation through high-quality video ...

New

Radiologist Remote

Phoenix, AZ ยท Remote

$15 - $80/hr

Radiologist - Hand Anatomy Annotation Role Type: Contractor Location: Remote Role Summary We are seeking Radiologists with strong anatomical knowledge and visual reasoning skills to support an AI ...

AI Consulting Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

Remote Role Summary We are seeking experienced Graphic Designers specializing in editorial, poster, and marketing layouts to support a design analysis and annotation project. You'll use your ...

AI Data Scientist - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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AI Finance Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

AI Data Science Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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Showing results 1-20

Remote Annotation information

See Arizona salary details

$14

$25

$35

How much do remote annotation jobs pay per hour?

As of Sep 14, 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 is a remote annotation?

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 the key skills and qualifications needed to thrive in remote annotation, 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 are popular job titles related to Remote Annotation jobs in Arizona?

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

Infographic showing various Remote Annotation job openings in Arizona as of September 2026, with employment types broken down into 1% As Needed, 51% Full Time, 46% Part Time, and 2% Contract. Highlights an 44% Physical, 1% Hybrid, and 55% Remote job distribution, with an average salary of $53,641 per year, or $25.8 per hour.

Video Annotation Expert - Remote

Phoenix, AZ โ€ข Remote

$50 - $90/hr

Full-time

Posted 3 days ago

New


Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities
  • Review videos and identify key actions, events, and outcomes.
  • Annotate and label video content according to project guidelines.
  • Use video annotation tools to create accurate, structured datasets.
  • Maintain consistency and accuracy across annotations.
  • Collaborate with team members to resolve unclear cases.
  • Participate in quality checks and incorporate feedback.
Requirements
  • Experience in video annotation, data labeling, or similar work preferred.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • Strong time-management and organizational abilities.
  • Experience with AI, machine learning, or robotics projects is a plus.