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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.

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Data Annotation Specialist

Houston, TX · On-site

They are seeking a highly meticulous and motivated Data Annotation Specialist to create, refine, and validate the ground-truth data that powers their perception and mapping stacks. Responsibilities ...

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Data Annotation Specialist

Houston, TX · On-site

They are seeking a highly meticulous and motivated Data Annotation Specialist to create, refine, and validate the ground-truth data for their autonomous driving system, working closely with ...

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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 ...

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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 ...

Comrise

CA · On-site

$26 - $29/wk

CNC Machinist II - Relocation Packages Available! (Menomonie, WI) Comrise is currently looking for a skilled CNC Machinist II to join our partner's team in Menomonie, WI , to perform intermediate to ...

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Senior Data Annotation Specialist information

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$63

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

As of Jun 12, 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.

Is it difficult to get a job at data annotation?

Securing a position as a senior data annotation specialist generally requires attention to detail, familiarity with annotation tools, and sometimes prior experience in data labeling or related fields. While entry-level roles may have minimal requirements, senior positions often demand advanced skills and a strong understanding of data quality standards, making competition moderate depending on the employer and location.

What does a data annotation specialist do?

A data annotation specialist labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working in a team environment with quality control processes.

What are the key skills and qualifications needed to thrive as a Senior Data Annotation Specialist, and why are they important?

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 are Senior Data Annotation Specialists?

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.

What is the highest salary of data annotation?

The highest salaries for senior data annotation specialists can reach up to $70,000 to $90,000 annually, depending on experience, location, and the complexity of annotation tasks. Advanced roles with specialized skills or working for large tech companies may offer higher compensation, especially with additional certifications or expertise in specific tools like labeling platforms or AI training environments.

Does data annotation actually pay well?

Data annotation specialists can earn varying wages depending on experience, complexity of tasks, and the platform or employer. Entry-level roles often pay hourly rates close to minimum wage, while experienced annotators with specialized skills or certifications can earn higher rates, sometimes exceeding average wages for similar entry-level positions. Overall, pay is generally modest compared to more advanced data science roles but can be a reliable source of income for part-time or freelance work.
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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 June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% 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

Posted 27 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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