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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.

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 ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

Perform accurate data entry and data validation to ensure high-quality datasets. * Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Perform accurate data entry and data validation to ensure high-quality datasets. * Review, label, and categorize images to support machine learning and AI model training. * Follow detailed annotation ...

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Overnight Data Annotation Specialist information

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$28K

$72.9K

$88K

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

As of Aug 3, 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.

Is it hard to get hired for an Overnight Data Annotation Specialist?

Getting hired as an Overnight Data Annotation Specialist can be competitive but generally depends on the employer's requirements, such as attention to detail, basic computer skills, and sometimes prior experience. Many positions are entry-level and may require familiarity with annotation tools and the ability to work overnight shifts, making the process accessible for candidates with relevant skills and availability.

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 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 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.

Does data annotation actually pay you?

Data annotation specialists are typically paid for their work, either hourly or per task, depending on the employer or platform. Payment rates vary but are generally consistent with entry-level or freelance data labeling jobs, and reliable platforms provide clear compensation details before starting work.

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.

Can I do data annotation with no experience?

Overnight Data Annotation Specialist roles often do not require prior experience, as training is typically provided to teach the necessary labeling tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some familiarity with data or annotation software can be helpful for efficiency.
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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 July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Data Annotation Specialist

Dyna Robotics

Remote

Full-time

Re-posted 20 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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