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Night 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 ...

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 Data Annotation Tech information

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$12

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$34

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

As of Jul 30, 2026, the average hourly pay for night 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.

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

Night Data Annotation Techs often work independently during off-peak hours, which can present challenges such as staying alert and maintaining focus during late shifts. Managing fatigue and ensuring consistent quality in data annotation tasks are key concerns. To address these challenges, it's helpful to establish a structured routine, take scheduled breaks, and maintain clear communication with team members through collaboration tools. Many companies also provide support resources and regularly scheduled check-ins to help night staff stay connected and aligned with project goals.

Does data annotation tech really pay?

Data annotation technicians typically earn hourly wages that can range from minimum wage to higher rates depending on experience and complexity of tasks. Many roles offer part-time or flexible schedules, and pay can increase with skill development or certification in annotation tools and processes.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Night data annotation technicians perform this work, often using specialized tools, and their role involves accurately labeling data to improve AI system performance.

How much do data annotators get paid?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the tasks. Many roles are part-time or freelance, with some companies offering bonuses or incentives for accuracy and productivity.

What is the difference between Night Data Annotation Tech vs Data Labeling Specialist?

AspectNight Data Annotation TechData Labeling Specialist
Required CredentialsHigh school diploma or equivalent; basic technical skillsHigh school diploma or higher; attention to detail
Work EnvironmentNight shifts, often in a tech or data center settingDay or night shifts, in office or remote
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, data processing
Common Search/ComparisonNight Data Annotation Tech vs Data Labeling Specialist

The Night Data Annotation Tech and Data Labeling Specialist roles both involve preparing data for AI systems, but the Night Data Annotation Tech typically works during night shifts with a focus on annotation tasks in a tech environment. The Data Labeling Specialist may work flexible hours and often handles broader data labeling responsibilities. Both roles require attention to detail and familiarity with data annotation tools, but the Night Data Annotation Tech is more specialized for overnight operations in tech companies.

How hard is it to get a job with data annotation tech?

Getting a job as a data annotation technician typically requires basic computer skills, attention to detail, and sometimes familiarity with annotation tools or platforms. Many positions are entry-level and do not require advanced education, making the role accessible to a wide range of applicants, though competition can vary based on demand and location.

What are Night Data Annotation Techs?

Night Data Annotation Techs are professionals who work overnight shifts to label and categorize data for machine learning and artificial intelligence systems. Their work involves identifying, tagging, and organizing data such as images, text, or audio to help train algorithms. By working during the night, they help ensure that data processing and model training can continue around the clock, supporting faster development cycles for AI projects. This role requires attention to detail, strong computer skills, and the ability to follow specific guidelines for accurate data labeling.

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

To thrive as a Night Data Annotation Tech, you need strong attention to detail, proficiency in data labeling, and a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, Supervisely, or internal annotation platforms is often required. Strong organizational skills, self-motivation, and the ability to work independently during night shifts set top performers apart. These skills ensure accuracy and efficiency in preparing high-quality data that powers machine learning models.
More about Night Data Annotation Tech jobs
What cities are hiring for Night Data Annotation Tech jobs? Cities with the most Night Data Annotation Tech job openings:
What are the most commonly searched types of Data Annotation Tech jobs? The most popular types of Data Annotation Tech jobs are:
What states have the most Night Data Annotation Tech jobs? States with the most job openings for Night Data Annotation Tech jobs include:
What job categories do people searching Night Data Annotation Tech jobs look for? The top searched job categories for Night Data Annotation Tech jobs are:
Night Data Annotation Tech jobs near you
Infographic showing various Night Data Annotation Tech job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 23% Full Time, 28% Part Time, 1% Contract, 44% Nights, and 1% Summer. Highlights an 46% Physical, 1% Hybrid, and 53% 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 24 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