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Urgently Hiring 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

As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ... We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing ...

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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Urgently Hiring Data Annotation Tech information

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How much do urgently hiring data annotation tech jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for urgently hiring 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 the key skills and qualifications needed to thrive as a data annotation technician?

To thrive as a Data Annotation Technician, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation tools like Labelbox, CVAT, or Supervisely, and sometimes knowledge of data labeling guidelines, is typically required. Precision, time management, and the ability to follow instructions closely are key soft skills that set top performers apart. These competencies ensure high-quality, accurate data labeling, which is crucial for training reliable machine learning models.

What is a data annotation tech?

A Data Annotation Tech is a professional responsible for labeling and categorizing data, such as images, text, or audio, to train artificial intelligence (AI) and machine learning models. Their work ensures that AI systems can accurately recognize patterns and make predictions by providing well-organized, high-quality datasets. Data Annotation Techs may use specialized software tools to tag objects in images, transcribe audio, or classify text according to specific guidelines. This role is essential in industries like autonomous vehicles, healthcare, and natural language processing.

What are some common challenges faced by data annotation technicians and how can they be managed?

Data Annotation Technicians often encounter challenges such as maintaining consistent accuracy when labeling large datasets, handling ambiguous or complex data, and meeting tight project deadlines. To manage these challenges, it is important to follow clear annotation guidelines, regularly communicate with project leads for clarification, and utilize quality assurance processes like peer reviews. Additionally, staying organized and breaking tasks into manageable segments can help technicians remain productive while maintaining high-quality work.

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

AspectUrgently Hiring Data Annotation TechData Labeling Specialist
CredentialsBasic technical skills, training in annotation toolsSimilar technical skills, often with industry-specific knowledge
Work EnvironmentFast-paced, project-based, often remoteSimilar, with focus on precise labeling tasks
Industry UsageCommon in AI/ML development companiesUsed across AI, autonomous vehicles, healthcare sectors
Search & Comparison IntentHigh overlap, both involve data annotation tasksOften used interchangeably, but 'Data Labeling Specialist' may imply more experience or specialization

While both roles involve data annotation and labeling, the 'Urgently Hiring Data Annotation Tech' typically refers to entry-level or technical staff needed quickly for annotation projects, often in fast-paced environments. The 'Data Labeling Specialist' may denote a more experienced or specialized role, but both share similar skills and industry usage.

More about Urgently Hiring Data Annotation Tech jobs
What cities are hiring for Urgently Hiring Data Annotation Tech jobs? Cities with the most Urgently Hiring 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 Urgently Hiring Data Annotation Tech jobs? States with the most job openings for Urgently Hiring Data Annotation Tech jobs include:
What job categories do people searching Urgently Hiring Data Annotation Tech jobs look for? The top searched job categories for Urgently Hiring Data Annotation Tech jobs are:
Urgently Hiring Data Annotation Tech jobs near you
Infographic showing various Urgently Hiring Data Annotation Tech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% 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 6 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