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Video Annotation Jobs in Dallas, TX (NOW HIRING)

... Data Annotation & QA Review - Annotate and QA review multi-modal data: video, images, 3D point clouds, and machine sensor data (LiDAR, radar, CAN bus). - Label objects, 3D spatial boundaries ...

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 ...

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) Key Responsibilities: - Execute manual data annotation and QA review for perception (video, images, 3D sensor data) and Vision-Language ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer - Autonomy & Robotics (Mining) Main Responsibilities: - Execute manual data annotation and rigorous QA review for perception (video, images, sensor data) and VLA (Vision ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... Data Annotation - Annotate objects and features in video, images, and 3D sensor data (LiDAR, radar) related to mining environments. - Precisely label spatial entities (haul roads, rock piles ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Perception annotation: video, images, machine sensor data that describe objects, 3D, trajectory, etc VLA annotation: task, action, intent, chain of causation, outcomes Build the brain behind the ...

Video Annotation information

See Dallas, TX salary details

$25.7K

$59.1K

$94K

How much do video annotation jobs pay per year?

As of Aug 17, 2026, the average yearly pay for video annotation in Dallas, TX is $59,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $68,800.00 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 job categories do people searching Video Annotation jobs in Dallas, TX look for?

The top searched job categories for Video Annotation jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Video Annotation jobs?

Cities near Dallas, TX with the most Video Annotation job openings:

Infographic showing various Video Annotation job openings in Dallas, TX 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 $59,144 per year, or $28.4 per hour.

Data Annotator

Expert Technology Services

Irving, TX • On-site

Contractor

Posted 10 days ago


Job description

Certainly! Here’s a job summary in list format based on your description for the Data Annotator & QA Reviewer (Autonomy & Robotics – Mining Operations):
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### Job Summary
- Perform Manual Data Annotation & QA Review
- Annotate and QA review multi-modal data: video, images, 3D point clouds, and machine sensor data (LiDAR, radar, CAN bus).
- Label objects, 3D spatial boundaries, trajectories, actions, task sequences, intent, and outcomes for heavy mining equipment.
- Perception & Sensor Annotation
- Accurately label site entities (vehicles, personnel, terrain features) across 2D video and 3D LiDAR/radar data.
- Map and track heavy equipment trajectories, articulation, and operational states.
- Align and cross-reference visual and sensor telemetry for temporal and spatial consistency.
- Vision-Language-Action (VLA) Annotation
- Decompose mining workflows into structured sequences: task → action → intent → causation → outcome.
- Identify and annotate machine/operator intent and cause-effect chains within mining operations.
- Tag expected vs. actual outcomes (e.g., load success, hazard encounters).
- Quality Assurance (QA) & Data Audit
- Conduct rigorous QA audits for labeling accuracy, semantic consistency, and temporal coherence—even in edge cases (poor visibility, complex terrain).
- Provide structured feedback to annotators and suggest updates to labeling guidelines as edge cases are encountered.
- Collaboration & Process Improvement
- Work closely with cross-functional teams to maintain and improve annotation quality.
- Update and maintain documentation and annotation schemas for evolving mining scenarios.
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Required Experience & Skills
- 1+ years in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Proficient with 3D spatial data (LiDAR, depth maps, trajectories) and labeling tools (e.g., CVAT, Labelbox, Scale AI, Supervisely).
- Strong understanding of mining operations, spatial perception, and heavy equipment mechanics.
- Attention to detail, technical aptitude, and ability to handle structured metadata (JSON/XML).
- Strong communication skills for feedback and process documentation.
Desired/Bonus Experience
- Background in mining engineering, geotechnical engineering, robotics, autonomous vehicles, or industrial autonomy.
- Familiarity with autonomous haulage systems, telemetry logs, or embodied VLA models.
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Let me know if you want a more condensed or detailed version!