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Data Annotate Jobs (NOW HIRING)

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... 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 ...

Raydar

Recruiting Associate

New York, NY · On-site

$90K - $110K/yr

The company helps teams manage image data, annotate datasets, train models, and deploy computer vision systems through APIs and edge infrastructure. It has raised approximately $99M from top-tier ...

Raydar

Recruiting Associate

New York, NY · On-site

$90K - $110K/yr

The company helps teams manage image data, annotate datasets, train models, and deploy computer vision systems through APIs and edge infrastructure. It has raised approximately $99M from top-tier ...

Raydar

Forward Deployed Engineer

$180K - $250K/yr

More than one million developers use the platform to manage image data, annotate datasets, train models, and deploy computer vision systems through APIs and edge devices. The company works with 65 ...

Sonsoft Inc

MS Data Integration

New York, NY

Annotate CRFs in accordance with CDISC published or company specific guidelines with appropriate metadata to reflect case report tabulation data sets. Primary Skill Microsoft Data Integration Tools ...

Sonsoft Inc

MS Data Integration

New York, NY · On-site

Annotate CRFs in accordance with CDISC published or company specific guidelines with appropriate metadata to reflect case report tabulation data sets. Primary Skill Microsoft Data Integration Tools ...

YO AI Labs

AI Data Scientist - Remote

Manhattan, NY · On-site

$100 - $125/hr

Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare clear technical reports and summaries. * Collaborate remotely with project teams to ...

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Data Annotator

Irving, TX • On-site

Expert Technology Services
IT Services • 11 - 50 employees
Learn more about Expert Technology Servicesexternal

$109K - $132K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

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.