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Quality Assurance Data Annotation Jobs in Dallas, TX

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 ...

Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

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 ...

AI Finance Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Quality Assurance * Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

Be Seen First

Previous experience in data annotation, data labeling, content review, quality assurance, or AI-related projects. * Experience with data interpretation and logical reasoning. * Basic arithmetic and ...

Quality Assurance * Technical & Report Writing * Business Communication * Content Review & Editing * Data Interpretation * Data Annotation * Fact Checking * Independent Research * Problem-Solving

Handles pre-production QA for data assets, including SSRS reports, Power BI dashboards, SSIS packages, data models, and data cubes. * Writes and analyzes SQL queries to evaluate data quality ...

Handles pre-production QA for data assets, including SSRS reports, Power BI dashboards, SSIS packages, data models, and data cubes. * Writes and analyzes SQL queries to evaluate data quality ...

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Quality Assurance Data Annotation information

See Dallas, TX salary details

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$44

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How much do quality assurance data annotation jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for quality assurance data annotation in Dallas, TX is $44.39, according to ZipRecruiter salary data. Most workers in this role earn between $36.15 and $53.99 per hour, depending on experience, location, and employer.

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Infographic showing various Quality Assurance Data Annotation job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $92,333 per year, or $44.4 per hour.

Data Annotator

Expert Technology Services

Irving, TX • On-site

$109K - $132K/yr

Contractor

Posted 26 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.