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Ai Annotation Jobs in Arizona (NOW HIRING)

... and annotation audits before issue for construction, and documented change control when scope shifts mid-package. AI and Innovation At SSOE, we don't just talk about the future, we build it. As a ...

... and annotation audits before issue for construction, and documented change control when scope shifts mid-package. AI and Innovation At SSOE, we don't just talk about the future, we build it. As a ...

... annotation audits before issue for construction, and documented change control when scope shifts mid-package. At SSOE, we don't just talk about the future, we build it. As a leader in industry AI ...

... annotation audits before issue for construction, and documented change control when scope shifts mid-package. At SSOE, we don't just talk about the future, we build it. As a leader in industry AI ...

We are a cutting-edge technology company at the forefront of the Artificial Intelligence (AI ... Solid knowledge of data collection, preprocessing, and annotation for prompt development.

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Skilled at teaching close reading, annotation, and analytical response construction for complex ...

Showing results 41-60

Ai Annotation information

What is an AI annotation?

An AI Annotation job involves labeling, tagging, or annotating data, such as images, text, or audio, to train machine learning models. Annotators help improve AI accuracy by providing high-quality, structured data that algorithms use to learn patterns. Tasks may include identifying objects in images, transcribing speech, or classifying text-based content. This job is essential for developing AI applications like self-driving cars, chatbots, and image recognition systems.

What does an AI annotation specialist do?

As an AI Annotation specialist, your typical day will involve accurately labeling, categorizing, or tagging large volumes of images, text, audio, or video data to train AI models according to project guidelines. You may work independently or as part of a team, using specialized annotation platforms and regularly reviewing your work to ensure quality and consistency. Collaboration with data scientists or project managers may be required to clarify ambiguous cases or update labeling criteria. You can expect periodic feedback and performance reviews to help refine your skills and ensure the data meets the project’s standards, making attention to detail and adaptability essential for success.

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

To thrive as an AI Annotation professional, you need keen attention to detail, strong analytical skills, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant technical training. Familiarity with data labeling tools, annotation platforms such as Labelbox or Supervisely, and basic spreadsheet or database management is commonly required. Strong communication, time management, and the ability to maintain focus during repetitive tasks are standout soft skills. These abilities are crucial for producing high-quality, consistent data that supports the effective development and accuracy of AI models.

What are the most commonly searched types of Ai Annotation jobs in Arizona?

The most popular types of Ai Annotation jobs in Arizona are:

What are popular job titles related to Ai Annotation jobs in Arizona?

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

What cities in Arizona are hiring for Ai Annotation jobs?

Cities in Arizona with the most Ai Annotation job openings:

Infographic showing various Ai Annotation job openings in Arizona as of August 2026, with employment types broken down into 53% Full Time, 20% Part Time, and 27% Contract. Highlights an 46% In-person, and 54% Remote job distribution.

AI Agent Trajectory Annotator and Reviewer

Scottsdale, AZ

$20 - $30/hr

Full-time

Posted 11 days ago


Job description

Type: Contract, hourly

Location: Remote

Hours: 20–30 per week

Pay: $20–30/hour, based on experience and language coverage

Start: Immediate

ABOUT THE ROLE

We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run β€” every command, result, and decision.

You will do two jobs, and you should expect either on any given day.

β€’Annotate β€” Read a trajectory nobody has looked at yet and judge it step by step.

β€’ Review β€” Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

β€’ Feature build β€” Add a working feature to a live library without breaking anything that already worked.

β€’ Rebuild β€” Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.

β€’ Bug hunt β€” Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.

Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.

WHAT YOU JUDGE IN A TRAJECTORY

β€’ Was the command right for the state the environment was actually in?

β€’ Did the agent read the previous output correctly?

β€’ Was the step wrong, or only inefficient β€” these are scored differently.

β€’ Where did the run first go off course β€” usually earlier than where it visibly broke.

β€’ Did the agent notice its own mistake and recover, or keep building on a false assumption?

β€’ Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?

WHAT WE NEED FROM YOU

β€’ Experience β€” 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

β€’ Languages β€” Strong in Python or Go, and able to read a language you've never used.

β€’ Linux β€” Comfortable with logs, running processes, build failures, and containers.

β€’ Workflow β€” Everyday Git, diffs, pull requests, and issue tracking.

β€’ Debugging β€” Able to work with no test suite and no error message pointing at the cause.

β€’ Focus β€” Able to hold context across a long run, because step 74 can depend on step 12.

β€’ Writing β€” Clear English, since every judgement needs an explanation another engineer can check.