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Quality Assurance Data Annotation Jobs in Texas (NOW HIRING)

Here's a job summary in list format based on your description for the Data Annotator & QA Reviewer (Autonomy & Robotics - Mining Operations): --- ### Job Summary - Perform Manual Data Annotation & QA ...

New

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Data Annotator & QA Reviewer (Autonomy & Robotics) Main Purpose: Support the development of autonomous mining machines by executing manual data annotation, sensor data fusion, and rigorous QA review ...

New

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 ...

New

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 ...

New

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

execute manual data annotation and QA review: Perception annotation: video, images, machine sensor data that describe objects, 3D, trajectory, etc VLA annotation: task, action, intent, chain of ...

New

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 ...

New

Strong Teradata experience (5+ years) Strong experience of Data Warehousing concepts and testing ... QA Data warehouse Strategy knowledge Experience of Agile development practices diagnostic and ...

Data QA 5 to 10 years of experience in Data/ETL/Datawarehouse Testing. • Strong experience in Control-M tool, or experience in any other scheduling tools . • Experience in writing SQL queries ...

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Quality Assurance Data Annotation information

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Data Annotator

Expert Technology Services

Irving, TX • On-site

Contractor

Posted 3 days ago

New


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!