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Senior 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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 · On-site

$40K - $50K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Apex Systems

AI Data Annotation Specialist

Boca Raton, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3044449 AI Data Annotation Specialist Location: Boca Raton, Florida or Irving, Texas Hybrid: Yes Compensation: 24-28/Hr Hours: Minimum 20 / week Role Overview We are seeking a detail-oriented ...

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Senior Data Annotation Specialist information

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How much do senior data annotation specialist jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for senior data annotation specialist in the United States is $32.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $39.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior data annotation specialist?

To thrive as a Senior Data Annotation Specialist, you need expertise in data labeling, attention to detail, and a strong understanding of machine learning concepts, often supported by a relevant degree or experience in data science or AI projects. Familiarity with annotation tools such as Labelbox, CVAT, or Supervisely, and knowledge of data management systems are typically required. Outstanding communication, problem-solving skills, and the ability to lead quality assurance efforts help set exceptional specialists apart. These skills ensure high-quality, accurate data annotations that are critical for building reliable AI and machine learning models.

What are some common challenges faced by senior data annotation specialists, and how are they addressed in a typical work environment?

Senior Data Annotation Specialists often encounter challenges such as ensuring consistency and accuracy across large datasets, managing tight deadlines, and adapting to evolving project guidelines. To address these, teams typically implement regular quality audits, provide comprehensive training on annotation tools, and encourage open communication for clarifying ambiguous cases. Collaboration with data scientists and project managers is also essential to align on labeling standards and quickly resolve issues, creating a supportive and efficient work environment.

What is the difference between Senior Data Annotation Specialist vs Data Labeling Technician?

AspectSenior Data Annotation SpecialistData Labeling Technician
CredentialsExperience in data annotation, familiarity with annotation toolsBasic training in labeling procedures
Work EnvironmentCollaborative teams, project managementSupervised, task-specific labeling
Industry UsageAI, machine learning, data scienceData preparation, initial labeling tasks

The Senior Data Annotation Specialist typically has more experience and handles complex annotation projects, while Data Labeling Technicians focus on straightforward labeling tasks under supervision. Both roles are essential in data preparation for AI applications, but the senior role involves greater responsibility and expertise.

What is a senior data annotation specialist?

Senior Data Annotation Specialists are experienced professionals who oversee and perform the process of labeling and categorizing data, such as images, audio, text, or video, to train and improve machine learning models. They ensure high-quality, accurate annotations and often lead teams, develop guidelines, conduct quality checks, and collaborate with engineers and data scientists. Their expertise helps drive the effectiveness of artificial intelligence applications by providing reliable data for algorithm training.
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Senior Data Annotation Specialist jobs near you
Infographic showing various Senior Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,986 per year, or $32.2 per hour.

Data Annotation Specialist

Dyna Robotics

Remote

Full-time

Re-posted 2 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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