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Video Annotation Jobs in Texas (NOW HIRING)

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) - Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video ...

... annotation project. You'll use your expertise in typography, composition, visual hierarchy, and ... Annotate editorial, poster, marketing, and short video assets using precise design terminology.

... annotation project. You'll use your expertise in typography, composition, visual hierarchy, and ... Annotate editorial, poster, marketing, and short video assets using precise design terminology.

... annotation project. You'll use your expertise in typography, composition, visual hierarchy, and ... Annotate editorial, poster, marketing, and short video assets using precise design terminology.

... and video. * Develop computer-language subroutines, scripts, and programs that support automated or semi-automated data analysis, annotation, and characterization. * Apply appropriate machine ...

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 ...

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 ...

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 ...

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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 Sep 3, 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 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 53% Full Time, 26% Part Time, and 21% 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 Annotator

Expert Technology Services

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 28 days ago


Job description

Job Summary (List Format): Data Annotator & QA Reviewer – Autonomy & Robotics (Mining)
- Perform manual data annotation and quality assurance (QA) review for perception and VLA (Vision-Language-Action) data, including video, images, and multi-sensor machine data.
- Annotate mining site entities (e.g., roads, rock piles, vehicles, personnel, machinery) in both 2D and 3D data formats (LiDAR, radar, video).
- Track heavy equipment trajectories and operational states, including motion paths, articulation, bucket/blade actions, and velocity in challenging mining environments.
- Align and fuse data from various sensors (camera, LiDAR, GPS/GNSS, IMU, CAN bus, payload sensors) to maintain accurate spatial and temporal mapping.
- Decompose mining workflows into structured task sequences, labeling actions, operator/machine intent, causations, and outcomes for autonomous system training.
- Model and annotate causal relationships and site-specific triggers (e.g., environmental changes, equipment reactions) in mining operations.
- Tag and verify outcomes of machine actions, comparing expected vs. actual results (e.g., load success, hazard avoidance, maneuver outcomes).
- Conduct rigorous QA audits of labeled datasets, ensuring high accuracy, semantic consistency, and correct handling of mining-specific edge cases (dust, mud, night, glare, underground).
- Provide feedback and update labeling guidelines based on emerging annotation challenges and edge cases.
- Utilize various labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.) for high-precision data annotation.
- Collaborate with internal and external teams to maintain data quality standards and continuously improve annotation processes.
Required Skills & Qualifications:
- 1+ years of experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Experience with 3D spatial data (LiDAR, point clouds, depth maps, spatial trajectories, multi-camera feeds).
- Strong attention to detail, especially for complex spatial and environmental scenarios.
- Familiarity with mining operations, heavy equipment, and related safety/operational terminology.
- Technical aptitude with geospatial/sensor data formats (JSON, XML) and labeling tools.
- Ability to breakdown complex workflows into sequenced actions and label accordingly.
- Strong 3D spatial visualization and perception skills.
Desired (Nice to Have):
- Background in Mining Engineering, Robotics, Autonomous Vehicles, or related fields.
- Experience with autonomous haulage systems or industrial robotics VLA models.