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Annotation Specialist Jobs (NOW HIRING)

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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 ...

Bot Auto

Data Annotation Specialist

Houston, TX

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal candidate will have strong experience in AI/ML data labeling, QA, and evaluation across NLP ...

TEKsystems

Data Annotation Specialist

Menlo Park, CA · Remote

$20/hr

Technical Skills Proficiency with annotation tools and platforms. Ability to review multimedia content (text, images, video, audio). Attention to Detail High accuracy in labeling nuanced and ...

Mercor

Video Game Annotation Specialist

New York, NY · Remote

$16 - $17/hr

Follow simple annotation instructions, including exploration, basic interactions, and task-based play. * Ensure recordings meet quality requirements, including no lag, stable FPS, and correct ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$65.05/hr

Job Title: Application Programmer III Location: Charlotte, NC Duration: Contract - 12 months Pay Range: $65.05/hr (W2) Job ID: 373947 About BCforward BCforward is a leading global IT consulting and ...

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All JobsAnnotation Specialist Jobs

Annotation Specialist information

Is data annotation high paying?

Data annotation specialists typically earn modest to moderate wages, with pay rates varying based on experience, complexity of tasks, and the platform or employer. While some experienced annotators or those working on specialized projects can earn higher wages, data annotation generally does not offer high salaries compared to other tech roles.

What are the typical day-to-day responsibilities of an Annotation Specialist?

As an Annotation Specialist, your daily tasks often include labeling and categorizing different types of data—such as images, text, or audio—according to precise project guidelines. You'll work closely with data scientists, engineers, and quality assurance teams to ensure annotation accuracy and address any ambiguities or edge cases that arise. Additionally, part of your role may involve providing feedback to improve annotation processes and occasionally attending team meetings or training sessions on new labeling standards. Staying organized and focused is key, as meeting deadlines and maintaining high-quality outputs are essential to the success of machine learning models built from your work.

What is an Annotation Specialist job?

An Annotation Specialist is responsible for labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. They ensure data accuracy and consistency by following specific guidelines and using annotation tools. This role is critical in improving AI systems, such as computer vision models and natural language processing algorithms. Strong attention to detail and an understanding of data annotation techniques are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Annotation Specialist position, and why are they important?

To thrive as an Annotation Specialist, you need a keen eye for detail, strong analytical abilities, and familiarity with data labeling concepts, typically supported by a background in computer science or related fields. Proficiency with annotation platforms and tools such as Labelbox, Dataloop, or CVAT, as well as experience with data formats like JSON or XML, is highly valuable; certifications in data annotation or AI/machine learning are a plus. Excellent communication, time management, and the ability to work independently or within a team help Annotation Specialists excel in meeting project goals. These skills ensure accuracy, efficiency, and seamless collaboration in supporting high-quality data preparation for machine learning projects.

What is an annotation specialist?

An annotation specialist is a professional who labels or tags data, such as images, text, or videos, to help train machine learning models. They typically use specialized tools and need attention to detail to ensure accurate data annotation, which is essential for developing AI systems.

What does an annotation job do?

An annotation specialist labels or tags data, such as images, text, or videos, to help train machine learning models. The work involves using annotation tools and following specific guidelines to ensure data accuracy and consistency, often working with large datasets in a digital environment.

How hard is it to get hired by data annotation?

Getting hired as an annotation specialist typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require formal certifications, but strong accuracy and the ability to follow guidelines are important for success.
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Annotation Specialist jobs near you
Infographic showing various Annotation Specialist job openings in the United States as of July 2026, with employment types broken down into 9% Locum Tenens, 28% Full Time, 25% Part Time, 29% Contract, 8% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution.

Data Annotation Specialist

DYNA Robotics Inc

Redwood City, CA • On-site

Contractor

Re-posted 6 days ago

Job description

Join us to shape the next frontier of AI-driven robotics!
Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.
Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company has raised over $140M, backed by top investors, including CRV and First Round. We're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.
The Role:
As a Data Annotation Specialist at Dyna Robotics, you will be pivotal in iterating on our AI system by annotating data on various diverse tasks performed by robots. Your will directly influence the performance of our robotic arms, helping them become more accurate and efficient. You will work closely with our engineering and research teams, ensuring data is labeled of the highest quality and meets required standards.
What You'll Do
  • 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

What You'll Bring
  • 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

Bonus Points For
  • 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)

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