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Video Annotation Jobs in Texas (NOW HIRING)

Platform Engineer, Data

Austin, TX ยท On-site

$113K - $136K/yr

You will build and maintain large-scale image and video pipelines, but with a focus on data ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...

Platform Engineer, Data

Austin, TX ยท On-site

$113K - $136K/yr

You will build and maintain large-scale image and video pipelines, but with a focus on data ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...

Platform Engineer, Data

Austin, TX ยท On-site

$113K - $136K/yr

You will build and maintain large-scale image and video pipelines, but with a focus on data ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...

Platform Engineer, Data

Austin, TX ยท On-site

$113K - $136K/yr

You will build and maintain large-scale image and video pipelines, but with a focus on data ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...

Platform Engineer, Data

Austin, TX

$113K - $136K/yr

You will build and maintain large-scale image and video pipelines, but with a focus on data ... Develop and use data quality tooling: metrics for balance, drift, and annotation error; active ...

Call Annotation: Perform detailed annotations to understand customer intents, evaluate AI ... Experience with delivering strong, focused presentations via phone, video or in person * Strong ...

Call Annotation: Perform detailed annotations to understand customer intents, evaluate AI ... Experience with delivering strong, focused presentations via phone, video or in person * Strong ...

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Showing results 1-20

Video Annotation information

See Texas salary details

$24.2K

$55.7K

$88.5K

How much do video annotation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for video annotation in Texas is $55,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,900.00 and $64,800.00 per year, depending on experience, location, and employer.

What is a Video Annotation job?

A Video Annotation job involves labeling objects, activities, or events within videos to help train machine learning models. Annotators use specialized tools to draw bounding boxes, segment frames, or classify scenes to improve AI's ability to recognize visuals. This work is essential for applications like autonomous vehicles, facial recognition, and action recognition in AI systems.

What are the typical daily responsibilities of a Video Annotation specialist?

As a Video Annotation specialist, your daily tasks will generally involve watching video footage, identifying relevant objects or actions, and accurately labeling or tagging frames according to specific project guidelines. You may also review and validate annotations to ensure quality and consistency, collaborate with team members or project managers to clarify labeling instructions, and document any ambiguities or challenges encountered during annotation. Most roles are structured with clear targets or quotas for completed work, and you may work independently or as part of a larger team supporting AI development projects. The position requires strong concentration and the ability to handle repetitive tasks efficiently while maintaining high standards of accuracy.

What are the key skills and qualifications needed to thrive in the Video Annotation position, and why are they important?

To excel in Video Annotation, you need strong attention to detail, visual analysis skills, and familiarity with video processing concepts, often supported by a diploma or coursework in computer science or a related field. Knowledge of annotation tools such as CVAT, Labelbox, or VGG Image Annotator, and, in some cases, experience with basic scripting or data management platforms, is highly valued. Excellent focus, time management, and the ability to follow precise instructions help individuals stand out in this position. These abilities are crucial for ensuring the accuracy and quality of annotated video data, which directly impacts AI and machine learning model performance.

What are the most commonly searched types of Video Annotation jobs in Texas? The most popular types of Video Annotation jobs in Texas are:
What are popular job titles related to Video Annotation jobs in Texas? For Video Annotation jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Video Annotation jobs? Cities in Texas with the most Video Annotation job openings:
Infographic showing various Video Annotation job openings in Texas as of May 2026, with employment types broken down into 46% Full Time, 27% Part Time, and 27% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $55,702 per year, or $26.8 per hour.

Data Annotation Specialist

Saronic Technologies

Austin, TX โ€ข 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.