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Ai Data Annotation Specialist Jobs (NOW HIRING)

Dyna Robotics

Data Annotation Specialist

As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

The Data Annotation Specialist will be responsible for creating, refining, and validating ground-truth data for the company's perception and mapping stacks. Responsibilities : • 3D Perception ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

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CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

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Ai Data Annotation Specialist information

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$28K

$72.9K

$88K

How much do ai data annotation specialist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for ai data annotation specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Data Annotation Specialist vs Data Labeler?

AspectAi Data Annotation SpecialistData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, collaborative with data teamsRemote or office-based, often repetitive tasks
Industry UsageAI, machine learning, tech companiesData processing, research, tech companies
Search IntentUnderstanding roles in AI data prepBasic data labeling tasks

The main difference is that an Ai Data Annotation Specialist typically handles more complex annotation tasks, often involving understanding AI models, while a Data Labeler performs more straightforward labeling work. Both roles are essential in preparing data for machine learning, but the specialist usually requires a deeper understanding of annotation tools and AI workflows.

More about Ai Data Annotation Specialist jobs
What cities are hiring for Ai Data Annotation Specialist jobs? Cities with the most Ai Data Annotation Specialist job openings:
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Ai Data Annotation Specialist jobs near you
Infographic showing various Ai Data Annotation Specialist job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Data Annotation Specialist

Dyna Robotics

Remote

Full-time

Posted 11 days ago

Job description

Job Summary:
Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. As a Data Annotation Specialist, you will be pivotal in iterating on our AI system by annotating data on various tasks performed by robots, directly influencing the performance of robotic arms.
Responsibilities:
• Manually annotate video sequences (boxes/masks/keypoints), track IDs, and label actions & temporal segments
• Maintain data integrity by applying guidelines and QC checks; resolve ambiguities and fix errors
• Leverage pre-annotation/autolabeling tools to boost throughput—validate/correct model prelabels and tune auto-tracking/segmentation pipelines
Qualifications:
Required:
• Associate’s or Bachelor’s degree (or equivalent experience)
• Strong attention to detail; consistent application of guidelines
• Ability to follow detailed instructions and work independently with minimal supervision
• Clear written communication and a collaborative attitude
Preferred:
• Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking)
• Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction
• Familiarity with QA practices (inter-annotator agreement, spot checks, golden sets)
• Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs)
Company:
Dyna Robotics develops advanced robotic manipulation models to automate repetitive and stationary tasks. Founded in 2024, the company is headquartered in Redwood City, USA, with a team of 11-50 employees. The company is currently Early Stage.

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