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Image Annotation Jobs in Texas (NOW HIRING)

Robert Half

Computer Vision - AI Engineer

Coppell, TX · On-site

$57.47 - $66.54/hr

In this role, you will design and refine vision-based AI solutions that support real-world image ... Create and support data preparation, annotation, and validation workflows that enable consistent ...

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Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

... image and video pipelines for computer vision model training: multi-source ingestion, QA and ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

... image and video pipelines for computer vision model training: multi-source ingestion, QA and ... drift, and annotation error; active-learning sampling to target gaps; feedback loops from ...

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Image Annotation information

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$707

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$2.9K

How much do image annotation jobs pay per week?

As of Aug 25, 2026, the average weekly pay for image annotation in Texas is $1,972.12, according to ZipRecruiter salary data. Most workers in this role earn between $1,451.92 and $2,453.85 per week, depending on experience, location, and employer.

What is an image annotation?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

What are the key skills and qualifications needed to thrive in image annotation, and why are they important?

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

What are the most commonly searched types of Image Annotation jobs in Texas?

The most popular types of Image Annotation jobs in Texas are:

What are popular job titles related to Image Annotation jobs in Texas?

For Image Annotation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Image Annotation jobs in Texas look for?

The top searched job categories for Image Annotation jobs in Texas are:

What cities in Texas are hiring for Image Annotation jobs?

Cities in Texas with the most Image Annotation job openings:

Image Annotation jobs near you
Infographic showing various Image Annotation job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,550 per year, or $49.3 per hour.

Data Annotation Specialist

Austin, TX • On-site

Saronic Technologies
Guided Missile and Space Vehicle Manufacturing • 51 - 200 employees
Learn more about Saronic Technologiesexternal

Contractor

Re-posted 6 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. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.

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