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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 ... This role is about building and leading a world class in-house data annotation team that is able to ...

New

Bot Auto

Data Annotation Specialist

Houston, TX

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join ... We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join ... We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We ...

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

As of Jun 8, 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, and why are they important?

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.

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Urgently Hiring Data Annotation Tech jobs near you

Data Annotation Specialist

Saronic Technologies

Austin, TX • On-site

Contractor

Posted 18 days ago

Job description

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms.
Job Overview
We are seeking a Data Annotation Specialist to annotate and review visual datasets used to train and evaluate machine-learning models for maritime perception and autonomy. This role supports our software, perception, and autonomy teams by ensuring labeled data is accurate, consistent, and useful for model development.
The ideal candidate has prior computer vision annotation experience, strong visual attention to detail, and the ability to maintain speed and accuracy through repetitive labeling work. This person should be comfortable following detailed instructions, adapting as labeling rules change, and supporting a fast-moving technical team.
This is an on-site, full-time contract role with an intended path to full-time conversion based on performance and business needs. Upon conversion, the employee would be eligible for Saronic's standard full-time benefits. This position reports to the Data Annotation Manager.
Responsibilities
  • Annotate and review large volumes of image, video, infrared, and other sensor data using computer vision labeling methods.
  • Identify vessels, objects, environmental features, and other elements relevant to maritime autonomy.
  • Maintain accuracy, consistency, and productivity across repetitive, detail-heavy datasets.
  • Apply evolving labeling guidelines and escalate unclear edge cases when needed.
  • Perform both manual annotation work and quality review of auto-labeled data as needed.
  • Willingness to support priority project deadlines when needed.
Qualifications
  • Prior experience in computer vision data annotation or labeling.
  • Familiarity with annotation tools such as Labelbox, CVAT, or similar
  • Experience with annotation types such as segmentation masks, bounding boxes, key points, object tracking, or classification.
  • Strong visual pattern recognition, spatial reasoning, and attention to detail.
  • Comfortable performing repetitive, process-driven work for extended periods while maintaining quality.
  • Able to adapt to changing project priorities, labeling rules, and quality standards in a fast-paced environment.
  • Strong communication skills and willingness to ask questions, accept feedback, and collaborate with the team.
  • Basic understanding of maritime environments, autonomous systems, robotics, or defense technology is a plus.

Saronic CCPA Notice for Candidates and California Employees
If this role is based in the United States, it requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).
Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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