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Data Annotation Job Jobs (NOW HIRING)

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Data Annotation Specialist

Houston, TX · On-site

They are seeking a highly meticulous and motivated Data Annotation Specialist to create, refine, and validate the ground-truth data for their autonomous driving system, working closely with ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

They are seeking a meticulous Data Annotation Specialist responsible for creating, refining, and validating the ground-truth data for their autonomous driving system, ensuring high-quality data meets ...

Bot Auto

Data Annotation Specialist

Houston, TX

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

Role Overview We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our ...

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection initiatives and contribute to the development of VR and AR products. The focus of ground truth data ...

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Data Annotation Job information

What is the difference between Data Annotation Job vs Data Labeling Specialist?

AspectData Annotation JobData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with experience in labeling tools
Work EnvironmentRemote or on-site, tech companies, AI/ML projectsSimilar environments, often in AI/ML data teams
Industry UsageUsed across AI, machine learning, autonomous vehiclesPrimarily in AI/ML data preparation
Search & Comparison IntentCommonly compared for entry-level data workOften searched as a related role in data preparation

Data Annotation Jobs and Data Labeling Specialists are closely related roles in AI and machine learning industries. Both involve preparing data for model training, often using similar tools and environments. The main difference lies in terminology and specific job descriptions, but they generally require comparable skills and are used interchangeably in many companies. Understanding these similarities helps job seekers identify suitable opportunities in data preparation fields.

Infographic showing various Data Annotation Job job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 41% Part Time, and 56% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution.

Data Annotation Specialist

Saronic Technologies

Austin, TX • On-site

Contractor

Posted 8 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
This role 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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