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$28K

$72.9K

$88K

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

As of Aug 22, 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.

What cities are hiring for Overnight Data Annotation Specialist jobs?

Cities with the most Overnight Data Annotation Specialist job openings:

What are the most commonly searched types of Data Annotation Specialist jobs?

The most popular types of Data Annotation Specialist jobs are:

What states have the most Overnight Data Annotation Specialist jobs?

States with the most job openings for Overnight Data Annotation Specialist jobs include:

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.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Jacksonville, FL • Remote

$20/hr

Contractor

Posted 20 days ago

Job description

As an AI Training Specialist (Data Annotation), you'll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We're looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology

Apply