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Full Time 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.

Encord

Strategic Projects Lead

San Francisco, CA · On-site

$150K - $300K/yr (+ commission)

You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.

Encord

Strategic Projects Lead

New York, NY · On-site

$150K - $300K/yr (+ commission)

You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.

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How much do full time data annotation specialist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time 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 a full time data annotation specialist?

A Full Time Data Annotation Specialist is a professional responsible for labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. Their primary role involves accurately tagging or marking data according to specific guidelines, which is essential for artificial intelligence and machine learning applications. This job often requires attention to detail, consistency, and sometimes domain-specific knowledge, depending on the project. Data annotation specialists typically work in industries like technology, healthcare, autonomous vehicles, and e-commerce. Full-time positions usually offer stable hours and may include benefits.

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

To thrive as a Full Time Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or higher. Proficiency in using annotation tools (such as Labelbox or Supervisely), spreadsheets, and sometimes basic scripting is typically required. Excellent communication, time management, and the ability to follow detailed instructions help you stand out in this role. These skills and qualities are crucial to ensure high-quality, accurate datasets that drive effective machine learning and AI model development.

What are some common challenges faced by full time data annotation specialists, and how can they be managed?

Full Time Data Annotation Specialists often encounter challenges such as maintaining high accuracy while working with large volumes of data, staying focused during repetitive tasks, and adapting to evolving annotation guidelines. Managing these challenges involves developing an eye for detail, regularly reviewing updated instructions, and using productivity techniques like taking short breaks or collaborating with team members to discuss ambiguities. Additionally, many organizations provide ongoing training and support to ensure consistency and quality in annotations.

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

AspectFull Time Data Annotation SpecialistData Labeling Technician
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data annotationHigh school diploma or equivalent; minimal certifications required
Work EnvironmentOffice or remote; collaborative with data science teamsWarehouse or office; focused on labeling tasks
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning sectors for data preparation

The Full Time Data Annotation Specialist and Data Labeling Technician roles both involve preparing data for AI models. The specialist typically has broader responsibilities, may require certifications, and works in collaborative environments, while the technician focuses on specific labeling tasks with minimal credentials. Both roles are essential in the data annotation process within AI industries.

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Full Time Data Annotation Specialist jobs near you
Infographic showing various Full Time Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% 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 23 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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