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Overnight 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

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

Austin, TX · Remote

$25 - $35/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 ...

YO AI Labs

Video Annotation Expert - Remote

Seattle, WA · Remote

$50 - $90/hr

... Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning ...

New

YO AI Labs

Video Annotation Expert - Remote

Boston, MA · Remote

$50 - $90/hr

... Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning ...

New

YO AI Labs

Video Annotation Expert - Remote

Boston, MA · Remote

$50 - $90/hr

... Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning ...

New

YO AI Labs

Video Annotation Expert - Remote

Phoenix, AZ · Remote

$50 - $90/hr

... Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning ...

New

YO AI Labs

Video Annotation Expert - Remote

Houston, TX · Remote

$50 - $90/hr

... Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning ...

New

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Overnight Data Annotation Specialist information

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

As of Sep 13, 2026, the average yearly pay for overnight 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 an overnight data annotation specialist?

Overnight Data Annotation Specialists are professionals who label, categorize, and annotate data—such as images, text, or audio—during overnight hours to support machine learning and artificial intelligence projects. Their work ensures that data used to train AI models is accurate and well-organized, which helps improve algorithms’ performance. These specialists may work remotely or onsite, often for companies that require round-the-clock data processing. The overnight schedule is ideal for organizations operating across global time zones or needing continuous project progress.

What are the key skills and qualifications needed to thrive as an overnight data annotation specialist?

To thrive as an Overnight Data Annotation Specialist, you typically need attention to detail, accuracy, and a strong understanding of data labeling protocols, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms, spreadsheets, and content management systems is commonly required, and some employers may request basic programming or machine learning knowledge. Strong time management, self-motivation, and the ability to work independently during overnight hours are standout soft skills for this role. These competencies ensure high-quality, consistent data labeling that is critical for training reliable machine learning models and supporting data-driven projects.

What are the typical challenges faced by an overnight data annotation specialist, and how can they be managed?

Overnight Data Annotation Specialists often face challenges such as maintaining focus during late hours, managing fatigue, and ensuring high accuracy in repetitive tasks. Working overnight can disrupt regular sleep patterns, so it's important to establish a consistent sleep schedule and take short, scheduled breaks to stay alert. Additionally, clear communication with the team—often through digital channels—is key, as many colleagues may work during daytime hours. Developing strong self-management skills and using productivity tools can help maintain annotation quality and meet deadlines.

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

AspectOvernight Data Annotation SpecialistData Labeling Technician
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office, overnight shiftsRemote or on-site, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Search IntentComparison of roles in data annotationComparison of roles in data labeling

The Overnight Data Annotation Specialist and Data Labeling Technician roles both involve preparing data for AI models, often requiring similar skills and industry usage. The main difference lies in shift timing, with the specialist working overnight shifts, often remotely, focusing on detailed annotation tasks. The technician may work flexible hours and handle broader labeling tasks. Both roles are essential in AI data pipelines, but the specialist's overnight schedule distinguishes it from the more flexible technician position.

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Overnight Data Annotation Specialist jobs near you
Infographic showing various Overnight Data Annotation Specialist job openings in the United States as of September 2026, with employment types broken down into 3% As Needed, 65% Full Time, 13% Part Time, and 19% Contract. Highlights an 78% In-person, 3% Hybrid, and 19% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Data Annotation Specialist

Remote

Dyna Robotics
See more jobs at Dyna Roboticsexternal

Full-time

Re-posted 17 hours 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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