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Overnight Data Annotation Specialist Jobs (NOW HIRING)

YO AI Labs

Video Annotation Expert - Remote

San Jose, CA · 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

Austin, 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

YO AI Labs

Video Annotation Expert - Remote

Chicago, IL · 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

Palo Alto, CA · 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

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

Atlanta, GA · 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

New York, NY · 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 ...

YO AI Labs

Video Annotation Expert - Remote

Miami, FL · 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

Dallas, 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

Dyna Robotics, Inc

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 ...

YO AI Labs

Video Data Reviewer - Remote

New York, NY · Remote

Video Annotation Specialist Job Type: Contractor Location: Remote Role Overview We are looking for ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

New

YO AI Labs

Visual Data Annotator - Remote

New York, NY · Remote

Video Annotation Specialist Job Type: Contractor Location: Remote Role Overview We are looking for ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

New

YO AI Labs

Data Labeling Expert - Remote

New York, NY · Remote

Video Annotation Specialist Job Type: Contractor Location: Remote Role Overview We are looking for ... The role involves accurate video labeling and structured data annotation to support AI and machine ...

New

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Overnight Data Annotation Specialist information

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$72.9K

$88K

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

As of Sep 14, 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.

Video Annotation Expert - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$50 - $90/hr

Full-time

Posted 2 days ago

New

Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation 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 projects.

Key Responsibilities
  • Review videos and identify key actions, events, and outcomes.
  • Annotate and label video content according to project guidelines.
  • Use video annotation tools to create accurate, structured datasets.
  • Maintain consistency and accuracy across annotations.
  • Collaborate with team members to resolve unclear cases.
  • Participate in quality checks and incorporate feedback.
Requirements
  • Experience in video annotation, data labeling, or similar work preferred.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • Strong time-management and organizational abilities.
  • Experience with AI, machine learning, or robotics projects is a plus.