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Annotation Jobs in Arizona (NOW HIRING)

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Skilled at teaching close reading, annotation, and analytical response construction for complex high school texts. Guides students through interpreting poetry and prose, evaluating rhetorical ...

Experience in IHC-supervised annotation procedures for tumor identification, specifically outlining tumor cells in a localized area. * Board certification in Pathology required Meet Your Recruiter ...

Experience in IHC-supervised annotation procedures for tumor identification, specifically outlining tumor cells in a localized area. * Board certification in Pathology required Meet Your Recruiter ...

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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 29, 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.

Vision-Language-Action (VLA) Annotator

Objectways Technologies Llc

Phoenix, AZ

$25/hr

Full-time

Posted 26 days ago


Job description

Location: Remote Employment Type: Full-Time | 40 hours/week  Compensation: $25/hour

About the Role:
We are looking for a detail-oriented and technically capable Vision-Language-Action (VLA) Annotator to join our data operations team in Phoenix, Arizona. In this role, you will be responsible for reviewing, labeling, and quality-checking multimodal datasets used to train and evaluate autonomous driving and robotics models. Your work directly impacts the safety and performance of AI systems operating in the real world.
This is a full-time, 40-hour-per-week position requiring sustained focus, sound judgment, and the ability to apply structured annotation guidelines to complex, real-world scenarios — including frequent edge cases.

Key Responsibilities: 
  • Review and annotate video footage, sensor telemetry, and camera feeds from autonomous vehicle test drives and robotics platforms.
  • Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles, following distances, trail alignment, and controlled stop quality.
  • Use time-series telemetry data — including speed, throttle, steering, and braking charts — to make precise trim and segmentation decisions on data clips.
  • Apply annotation guidelines consistently while exercising independent judgment on ambiguous or edge-case scenarios.
  • Identify and flag unsafe, incomplete, or anomalous driving behaviors (e.g., rolling stops, improper following distance, out-of-distribution maneuvers).
  • Maintain high throughput and accuracy standards; participate in regular quality audits and calibration sessions.
  • Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently.
  • Document and communicate recurring issues or ambiguities in the data to improve pipeline quality.
Preferred Qualifications:
  • Education: Bachelor's degree with a STEM background preferred (Engineering, Computer Science, Physics, Mathematics, GIS, or related field).
  • Spatial & Mechanical Reasoning: Demonstrated ability to interpret vehicle or robotic behavior in 3D space from 2D camera feeds. Backgrounds in robotics, automotive engineering, mechanical engineering, GIS, or simulation are strong indicators.
  • Time-Series Data Literacy: Experience reading and interpreting sensor data, telemetry charts, lab instrumentation output, or signal processing data. Comfort with chart-heavy analytical workflows is essential for making precise trim decisions.
  • Driving Familiarity: Regular driving experience, ideally in varied or off-road conditions. Must be able to distinguish safe from unsafe driving behavior, recognize complete vs. rolling stops, and assess reasonable following distances.
  • Detail Orientation with Tolerance for Ambiguity: Ability to follow precise, rule-based guidelines while also applying sound judgment on frequent edge cases. Prior experience in QA, data annotation, or lab/research settings is a strong signal.
  • Video Review Endurance: Comfort with sustained video review tasks. Prior experience in video editing, surveillance monitoring, sports performance analysis, or media production is a plus.
Nice-To-Haves: 
  • Prior annotation or data labeling experience, especially in autonomy or robotics datasets.
  • Familiarity with geospatial tools, map interfaces, or GIS platforms.
  • Hands-on experience with Encord, Label Studio, CVAT, Scale AI, or comparable labeling platforms.
  • Background in autonomous vehicles, ADAS systems, or driver safety analysis.