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Summer 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.

NEURA Robotics

$70 - $90/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

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 ...

Zefr

Multilingual Data Annotation Specialist

California, MO · On-site

$63 - $78/hr

We are hiring a Multilingual Data Annotation Specialist to support the training and performance of ... Flexible hybrid work schedules * "Summer Fridays" (shorter work days on select Fridays during the ...

New

Dyna Robotics, Inc

$52 - $78/hr

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 ...

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Summer Data Annotation Specialist information

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

As of Sep 6, 2026, the average hourly pay for summer 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 is a summer data annotation specialist?

Summer Data Annotation Specialists are temporary workers, often students, hired during the summer to label and categorize data for use in machine learning projects. Their tasks typically involve tagging images, transcribing audio, or classifying text, helping to create high-quality datasets that train AI systems. These roles require attention to detail, basic computer skills, and the ability to follow specific guidelines. Summer Data Annotation Specialists play a crucial part in improving the accuracy and effectiveness of artificial intelligence models.

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

To thrive as a Summer Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, usually supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheets, and workflow management tools is often required. Excellent communication, time management, and the ability to follow detailed instructions help you excel in this role. These skills are crucial because they ensure high-quality, accurate data labeling, which is foundational for successful machine learning and AI projects.

What are some typical challenges faced by summer data annotation specialists, and how can they be addressed?

Summer Data Annotation Specialists often encounter challenges such as maintaining accuracy and consistency during repetitive tasks, meeting tight project deadlines, and adapting to evolving annotation guidelines. To address these issues, it’s helpful to take regular short breaks to stay focused, participate actively in team training sessions, and communicate any uncertainties with supervisors or team leads. Collaborating with peers to review and discuss edge cases can also improve annotation quality and create a supportive work environment.

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

AspectSummer Data Annotation SpecialistSummer Data Labeler
CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsHigh school diploma or equivalent; minimal formal requirements
Work EnvironmentRemote or on-site, often in tech or AI companiesPrimarily remote or on-site data labeling tasks
Industry UsageUsed in AI, machine learning, and data science projectsCommon in data preparation for AI and machine learning

The Summer Data Annotation Specialist typically involves more complex annotation tasks and may require some technical understanding, whereas the Summer Data Labeler focuses on basic labeling tasks. Both roles support AI development but differ in complexity and responsibilities.

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Summer Data Annotation Specialist jobs near you
Infographic showing various Summer Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, 18% Part Time, 3% Temporary, and 10% Contract. Highlights an 80% In-person, 5% Hybrid, and 15% 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 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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