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Night Shift Data Annotation Tech Jobs (NOW HIRING)

JPMorganChase

Data Domain Architect Lead

Wilmington, DE · On-site

... annotation and labeling methods • Experience with various data modeling techniques and tools • Familiar with Finance and Banking products • Broad expertise in data technologies; i.e., data ...

Comrise

CA · On-site

$26 - $29/wk

Shift: 1st Shift with overtime as necessary. * Relocation: Relocation packages available for out-of-area candidates. * Time Off: 80 hours of PTO (with annual increases) and 9 paid Holidays annually.

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$65.05/hr

... T consulting and workforce solutions firm providing services and support to Fortune 500 and ... Collaborate with data science and platform teams to deploy scalable AI solutions. Annotate and ...

Arthur Lawrence

Data Annotator

Fremont, CA · On-site

Experience in autonomous vehicle data annotation, including LiDAR/Point Cloud and 2D image labeling ... Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business ...

Chase

Data Domain Architect Lead

Wilmington, DE · On-site

Familiar with industry annotation and labeling methods * Experience with various data modeling techniques and tools * Familiar with Finance and Banking products * Broad expertise in data technologies ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

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Night Shift Data Annotation Tech information

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How much do night shift data annotation tech jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for night shift data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies continue to develop AI and machine learning models. These jobs often require attention to detail, familiarity with annotation tools, and the ability to work on flexible schedules, including night shifts. Hiring trends can vary by industry and region, but overall, opportunities remain available for qualified candidates.

How much do Apple data annotators make?

Apple data annotation roles typically pay between $15 and $25 per hour, depending on experience and location. These positions often require attention to detail and familiarity with annotation tools, and may be part-time or flexible shifts such as night shifts.

What are some common challenges faced by Night Shift Data Annotation Techs and how can they be managed?

Night Shift Data Annotation Techs often encounter challenges such as maintaining focus during late hours and managing fatigue. Working overnight can require extra attention to detail to avoid errors, especially when handling large volumes of data. Many professionals address these challenges by establishing consistent sleep schedules, taking short breaks to stay alert, and using productivity tools to track progress. Additionally, strong communication with team members and supervisors during shift overlaps ensures smooth handoffs and clarifies any ambiguities in annotation guidelines.

What are the key skills and qualifications needed to thrive as a Night Shift Data Annotation Tech, and why are they important?

To thrive as a Night Shift Data Annotation Tech, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheet tools, and sometimes workflow management systems is typically required. Reliability, self-motivation, and effective time management are crucial soft skills for working independently during overnight hours. These skills and qualities ensure consistent, accurate data labeling that supports machine learning projects and meets tight deadlines.

How much does data annotation tech pay per hour?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, complexity of tasks, and the employer. Many roles are part-time or freelance, often requiring familiarity with annotation tools and attention to detail.

What is the difference between Night Shift Data Annotation Tech vs Night Shift Data Labeler?

AspectNight Shift Data Annotation TechNight Shift Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentData annotation platforms, remote or on-siteData labeling tasks, often remote or on-site
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, autonomous vehicles
Job FocusAnnotating data for training AI modelsLabeling data to improve AI accuracy

Both roles involve working with data to support AI development, often in similar environments. The main difference is that Data Annotation Tech may focus more on using specialized tools and platforms, while Data Labelers may perform more straightforward labeling tasks. Both positions require attention to detail and are essential in AI training processes.

What are Night Shift Data Annotation Techs?

Night Shift Data Annotation Techs are professionals who work overnight hours to label, tag, or categorize data—such as images, audio, or text—for use in machine learning and artificial intelligence systems. Their work ensures that data sets are accurate and well-organized so that algorithms can be trained effectively. These technicians often use specialized software tools and must pay close attention to detail. Working the night shift may involve supporting 24/7 operations, meeting tight deadlines, or collaborating remotely with global teams.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that vary depending on experience, location, and the complexity of tasks. Entry-level roles may pay around minimum wage, while more experienced annotators can earn higher rates, especially when working with specialized tools or on complex projects. Overall, it is a paid position with compensation reflecting skill level and workload.
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What job categories do people searching Night Shift Data Annotation Tech jobs look for? The top searched job categories for Night Shift Data Annotation Tech jobs are:
Night Shift Data Annotation Tech jobs near you
Infographic showing various Night Shift Data Annotation Tech job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 7% Part Time, 6% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
Geospatial AI Data Annotator

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

$20 - $24/hr

Full-time

Posted 11 days ago

Job description

Geospatial AI Data Annotator

About Enabled Intelligence, Inc.

Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.

At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!

Geospatial AI Data Annotator

Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.

Responsibilities

  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills

  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good team player and work with individuals with different communication, learning and working styles.
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in Falls Church, VA Monday-Friday during normal business hours

Desired Qualifications and Skills

  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV)
  • Prior experience with business productivity tools like Microsoft Office, and/or Slack
  • Highschool Degree

Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer

Background Check & Security Clearance

  • Applicants selected will be subject to background investigation. Applicants must be eligible to receive a US security clearance at the secret level or higher which requires US Citizenship.



Job Posted by ApplicantPro