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Data Annotation Tech Jobs in Phoenix, AZ (NOW HIRING)

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

America's leading technology companies are ready to rely on TSMC Arizona for the next generations ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ

$130K - $177K/yr

America's leading technology companies are ready to rely on TSMC Arizona for the next generations ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

CT Tech Lead

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... marking and annotation as required by CT procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Nuclear Medicine Tech

Scottsdale, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and other ...

Honorhealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Nuclear Medicine Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... annotation as required by Nuclear Medicine procedure protocols. Utilizes RIS, PACS and other ...

Honorhealth

MRI Tech Float Pool

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... marking and annotation as required by MRI procedure protocols. Utilizes RIS, PACS and other ...

Honorhealth

Radiologic Tech

Phoenix, AZ

Performs data entry operations using appropriate hospital software package. Staff member may be ... and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

HonorHealth

Radiologic Tech

Phoenix, AZ · On-site

Performs data entry operations using appropriate hospital software package. Staff member may be ... and annotation as required by Radiology procedure protocols. Utilizes RIS, PACS and other ...

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All JobsData Annotation Tech JobsData Annotation Tech Jobs in Phoenix, AZ

Data Annotation Tech information

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How much do data annotation tech jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data annotation tech in Phoenix, AZ is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $26.97 per hour, depending on experience, location, and employer.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

What are the most commonly searched types of Data Annotation Tech jobs in Phoenix, AZ? The most popular types of Data Annotation Tech jobs in Phoenix, AZ are:
What are popular job titles related to Data Annotation Tech jobs in Phoenix, AZ? For Data Annotation Tech jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech jobs in Phoenix, AZ look for? The top searched job categories for Data Annotation Tech jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Annotation Tech jobs? Cities near Phoenix, AZ with the most Data Annotation Tech job openings:
Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in Phoenix, AZ as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,175 per year, or $22.7 per hour.

Vision-Language-Action (VLA) Annotator

Objectways Technologies Llc

Phoenix, AZ

$25/hr

Full-time

Posted 2 days ago

Be an early applicant

Job description

Location:RemoteEmployment 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.

This is a remote position.