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Remote 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.

Mercor

Video Game Annotation Specialist

New York, NY · Remote

$16 - $17/hr

Remote Role Responsibilities * Annotate assigned games such as Minecraft and open-world games for structured sessions of 15-60 minutes. * Follow simple annotation instructions, including exploration ...

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

As of Jul 26, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Data Annotation Specialist, and why are they important?

To thrive as a Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling guidelines, and a basic understanding of data structures, often supported by a high school diploma or relevant training. Experience with annotation platforms, data management tools, and sometimes basic scripting languages is typically required. Excellent time management, communication skills, and the ability to work independently help individuals excel in this remote role. These skills ensure high-quality, consistent, and efficient data labeling, which is critical for training accurate machine learning models.

What is the salary of data annotation specialist?

The salary of a remote data annotation specialist typically ranges from $12 to $25 per hour, depending on experience, skill level, and the complexity of annotation tasks. Some positions may offer hourly wages or project-based pay, with opportunities for bonuses or raises based on performance and accuracy.

What are some typical challenges Remote Data Annotation Specialists face, and how can they be managed?

Remote Data Annotation Specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistency across large datasets, and managing tight deadlines. To overcome these, it's helpful to establish a structured work schedule, take regular breaks, and utilize annotation guidelines provided by the employer. Collaborative tools and periodic check-ins with team leads or peers can also help clarify questions and maintain quality standards, ensuring annotation accuracy and productivity.

What is a data annotation specialist?

A data annotation specialist is a professional who labels and categorizes data, such as images, text, or videos, to help train machine learning models. They typically use annotation tools and require attention to detail to ensure data accuracy, often working remotely with flexible schedules.

How much do remote data annotation operators make?

Remote data annotation specialists typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some roles may offer project-based pay or bonuses for accuracy and efficiency, with opportunities for skill development in annotation tools and data labeling processes.

What are Remote Data Annotation Specialists?

Remote Data Annotation Specialists are professionals who label, tag, or categorize data—such as images, text, audio, or video—for use in machine learning and artificial intelligence projects. They work remotely, using specialized software tools to ensure data is accurately annotated according to project guidelines. Their work helps improve the performance of AI systems by providing high-quality, labeled datasets that algorithms can learn from. This role often requires attention to detail, basic technical skills, and the ability to follow instructions carefully.

What qualifications do you need to be a data annotator?

To be a remote data annotation specialist, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or software. A high school diploma or equivalent is usually sufficient, and some roles may require prior experience in data labeling or related tasks. Good communication skills and the ability to work independently are also beneficial.

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

AspectRemote Data Annotation SpecialistRemote Data Labeler
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, often part of AI/ML teamsRemote, typically freelance or contract-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Common Search IntentUnderstanding roles, job requirements, and career pathFinding entry-level or freelance annotation jobs

The Remote Data Annotation Specialist and Remote Data Labeler roles both involve labeling data for AI and machine learning projects. However, the Specialist often performs more complex annotations and may work within a team, while the Labeler typically handles simpler tasks independently. Both roles require attention to detail and are common in AI industries, but the Specialist may have more responsibilities and slightly higher skill expectations.

More about Remote Data Annotation Specialist jobs
What cities are hiring for Remote Data Annotation Specialist jobs? Cities with the most Remote Data Annotation Specialist job openings:
What are the most commonly searched types of Data Annotation Specialist jobs? The most popular types of Data Annotation Specialist jobs are:
What states have the most Remote Data Annotation Specialist jobs? States with the most job openings for Remote Data Annotation Specialist jobs include:
What job categories do people searching Remote Data Annotation Specialist jobs look for? The top searched job categories for Remote Data Annotation Specialist jobs are:
Remote Data Annotation Specialist jobs near you
Infographic showing various Remote Data Annotation Specialist job openings in the United States as of July 2026, with employment types broken down into 4% Full Time, 5% Part Time, 84% Contract, and 7% Nights. Highlights an 4% Physical, and 96% 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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