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Night Shift Data Annotation Tech Jobs (NOW HIRING)

Sunday Inc

Data Annotation Lead

Redwood City, CA · On-site

... our technology. We are now seeking passionate individuals to join us in the next phase of our ... Build a data annotation team * Own annotation operations end-to-end * Manage the people side of ...

TEKsystems

Data Annotation Specialist

Seattle, WA · Remote

$20/hr

Use annotation tools to mark up text, images, or other data according to specific guidelines ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Q Analysts

Data Annotation Technician

Kirkland, WA · On-site

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... Q Analysts is a high growth technology consulting company with a focus on providing Quality ...

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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 Aug 10, 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 flexible hours, including night shifts. Hiring trends can vary by region and industry, but overall, opportunities remain available for qualified candidates.

What are 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 skills and qualifications are needed to thrive as a night shift data annotation tech?

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.

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 is a night shift data annotation tech?

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.
More about Night Shift Data Annotation Tech jobs
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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. 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.

Data Annotation Lead

Sunday Inc

Redwood City, CA • On-site

Full-time

Re-posted 5 days ago

Job description

Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
What to Expect
We're looking for a Data Annotations Lead to join our Data team and own the operation side of data annotation and scale the team behind it.
This role is about building and leading a world class in-house data annotation team that is able to pivot quickly to any research experiment while delivering on quality, quantity, and variety when it comes to data.
You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation team around. Your role is vital to ensuring our data annotators are aligned with the guidances for annotations and are upholding a culture of happiness.
What You'll Do
  • Build a data annotation team
  • Own annotation operations end-to-end
  • Manage the people side of data annotations
  • Create documentation
  • Be in the weeds and annotate data yourself anytime something new is being designed
  • Create data annotation processes
  • Own the in-house vs. vendor mix and manage external partners where used

What You'll Bring
  • Clear written and verbal communication to guide our data annotators
  • Your ability to manage unexpected challenges
  • Your ownership of key stakeholders with data annotators, engineering, and support
  • Excitement for the growth and development of data annotation
  • Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
  • A level of hardcore-ness while still treating people like people
  • Intermediate level understanding of ML

Nice to Have
  • Previous experience leading data annotation teams
  • Previously a top 2% annotator yourself in the past
  • Technical skills to build tools for data annotation
  • Ability to leverage AI to help improve productivity

At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.

Apply