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Video Annotation Jobs in Texas (NOW HIRING)

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

... 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 ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

... 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 ...

Platform Engineer, Data

Austin, TX · 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 · 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 · 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 · 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 ...

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

Monitor live video feeds and robot telemetry * Perform real-time movement adjustments and task ... Support data annotation and quality validation activities * Maintain accurate operational records ...

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

Marketing Intern

Austin, TX · Hybrid

$20 - $25/hr

... to annotation to delivery. We design and create datasets from scratch, recruit and manage the ... One day you're editing a launch video, the next you're staging an email campaign or planning a ...

Monitor live video feeds and robot telemetry * Perform real-time movement adjustments and task ... Support data annotation and quality validation activities * Maintain accurate operational records ...

Showing results 21-40

Video Annotation information

See Texas salary details

$24.2K

$55.7K

$88.5K

How much do video annotation jobs pay per year?

As of Aug 12, 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?

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 job categories do people searching Video Annotation jobs in Texas look for? The top searched job categories for Video Annotation jobs in Texas 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 August 2026, with employment types broken down into 6% Internship, 52% Full Time, 17% Part Time, and 25% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $55,702 per year, or $26.8 per hour.

Platform Engineer, Data

Allen Control Systems

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing advanced technologies for military applications. They are seeking a Data Platform Engineer who will design and implement data infrastructure and optimization strategies to enhance model training for computer vision projects.
Responsibilities:
• Design and develop a scalable data infastructure, focusing on organization and curation to support continuing increases in data volume and complexity
• Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering).
• Support the data infrastructure required for optimal ingestion, transformation, and storing of datasets
• Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models.
• Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization.
• Coordinate collection of real-world data; coordinate label creation and QA with labelers.
• Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation.
• Implement and own dataset versioning, release management, and lineage and metadata cataloging.
Qualifications:
Required:
• 3+ years of experience in data engineering or equivalent fields.
• Solid understanding of data structures and systems design for orchestrating data-related workflows in a rapidly growing environment.
• Proficient in using AWS for data management and processing.
• Proficient in Python for scripting and data processing; proficient with SQL and Linux.
• Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field.
• Proven ability to communicate well across engineering teams, and write and maintain effective documentation.
Preferred:
• 5+ years of industry experience.
• Experience in image/video data engineering for computer vision projects.
• Experience with PyTorch DeepCore.
• Experience with Unreal Engine.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.