Data Annotation Specialist

Saronic Technologies•Austin, TX

7d•Onsite

About The Position

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.

Requirements

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.
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).

Nice To Haves

Basic understanding of maritime environments, autonomous systems, robotics, or defense technology is a plus.

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.