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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.

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

Use annotation tools to mark up text, images, or other data according to specific guidelines. Participate in the validation and quality assurance of annotated data to ensure it meets the required ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Perform accurate data entry and data validation to ensure high-quality datasets. * Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Perform accurate data entry and data validation to ensure high-quality datasets. * Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation ...

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Data Annotation Specialist information

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$72.9K

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How much do data annotation specialist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for 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.

Does data annotation actually pay you?

Data annotation specialists are typically paid for their work, either hourly or per task, depending on the employer or platform. Payment rates vary but are generally consistent with entry-level or freelance data labeling roles, and reliable platforms provide clear compensation terms before starting work.

What is a data annotation specialist?

Data Annotation Specialists are professionals who label and categorize data—such as images, text, audio, or video—to make it usable for machine learning models and artificial intelligence systems. Their work ensures that algorithms can accurately interpret data by providing clear examples of what different data points represent. Tasks may include drawing bounding boxes on images, transcribing audio, or tagging keywords in text. This role is crucial for improving the accuracy and reliability of AI applications across various industries.

What are some common challenges a data annotation specialist faces, and how can they be addressed?

Data Annotation Specialists often encounter challenges such as maintaining high accuracy while labeling large volumes of data, managing repetitive tasks, and understanding complex annotation guidelines. To overcome these, it's important to stay detail-oriented, take regular breaks to avoid fatigue, and seek clarification on ambiguous instructions. Collaborating with team members and participating in quality review sessions can also help ensure consistency and improve annotation quality over time.

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

AspectData Annotation SpecialistData Labeler
CredentialsHigh school diploma or equivalent; some roles may prefer certifications in data management or annotation toolsTypically high school diploma or equivalent; minimal formal requirements
Work EnvironmentOffice or remote; often involves using specialized annotation softwarePrimarily remote or in-house; focuses on labeling data within specific datasets
Industry UsageUsed across AI, machine learning, and data science projectsPrimarily in AI and machine learning industries for training data
Job FocusInvolves detailed annotation, quality control, and understanding project guidelinesFocuses on labeling data accurately according to instructions

While both roles involve working with data to train AI models, Data Annotation Specialists typically handle more complex annotation tasks and quality assurance, whereas Data Labelers focus on straightforward labeling tasks. The Specialist role often requires a deeper understanding of project guidelines and may involve using advanced annotation tools.

What are the key skills and qualifications needed to thrive as a data annotation specialist, and why are they important?

To thrive as a Data Annotation Specialist, you need a keen attention to detail, strong analytical abilities, and basic knowledge of data labeling concepts, often supported by a high school diploma or relevant coursework. Familiarity with data annotation tools (such as Labelbox or Supervisely), basic computer skills, and sometimes an understanding of programming languages like Python are valuable. Excellent communication, time management, and the ability to follow guidelines precisely help you stand out in this position. These skills ensure accurate and consistent data labeling, which is essential for training reliable machine learning models.
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Data Annotation Specialist jobs near you
Infographic showing various Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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

Re-posted 26 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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