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Night Shift Medical Data Annotation Jobs (NOW HIRING)

Expert Technology Services

Data Annotator

Irving, TX · On-site

... night, underground). - Audit temporal consistency and semantic correctness in labeled mining ... Required Skills & Qualifications: - 1+ year experience in data annotation, labeling, or QA for ...

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Night Shift Medical Data Annotation information

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$22

How much do night shift medical data annotation jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for night shift medical data annotation in the United States is $17.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Night Shift Medical Data Annotation vs Night Shift Medical Transcription?

AspectNight Shift Medical Data AnnotationNight Shift Medical Transcription
Required CredentialsHigh school diploma, training in annotation toolsHigh school diploma, medical transcription certification
Work EnvironmentRemote, computer-basedRemote or onsite, computer-based
Industry UsageAI training, machine learningMedical record documentation
Common Search/ComparisonYesNo

Night Shift Medical Data Annotation involves labeling medical images and data for AI training, focusing on accuracy and detail. Night Shift Medical Transcription entails converting audio recordings into written reports, emphasizing clarity and medical terminology. While both roles require attention to detail and familiarity with medical terminology, they serve different purposes within healthcare technology and documentation.

More about Night Shift Medical Data Annotation jobs
What cities are hiring for Night Shift Medical Data Annotation jobs? Cities with the most Night Shift Medical Data Annotation job openings:
What states have the most Night Shift Medical Data Annotation jobs? States with the most job openings for Night Shift Medical Data Annotation jobs include:
What job categories do people searching Night Shift Medical Data Annotation jobs look for? The top searched job categories for Night Shift Medical Data Annotation jobs are:
Night Shift Medical Data Annotation jobs near you
Infographic showing various Night Shift Medical Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $37,275 per year, or $17.9 per hour.

Data Annotator

Expert Technology Services

Irving, TX • On-site

Contractor

Posted 2 days ago

New

Job description

Job Summary (List Format): 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-Action (VLA) tasks.
- Label 2D and 3D spatial data, including video, images, LiDAR, radar, and machine sensor information.
- Annotate mining site entities (e.g., roads, rock piles, vehicles, personnel, equipment) in both 2D and 3D environments.
- Track heavy equipment trajectories, movement, articulation, and orientations using multi-sensor data.
- Fuse and align data from various sensors (visual, GPS, IMU, CAN bus, etc.) for temporal and spatial accuracy.
- Decompose mining operations into granular actions and label tasks, operator/machine intent, and action sequences.
- Model chains of causation by annotating triggers and causal relationships in operational environments.
- Tag and verify expected vs. actual outcomes for mining activities (e.g., load success, slippage, hazard avoidance).
- Conduct rigorous QA audits on annotated data, ensuring high accuracy across challenging mining scenarios (e.g., dust, low visibility, night, underground).
- Audit temporal consistency and semantic correctness in labeled mining datasets.
- Provide structured feedback to annotation teams, update labeling guidelines as new edge cases arise.
Required Skills & Qualifications:
- 1+ year experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Experience working with 3D spatial data (LiDAR, point clouds, depth maps, multi-camera feeds).
- Familiarity with labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.).
- Ability to break down and annotate complex heavy machinery interactions into structured flows (task → action → intent → causation → outcome).
- Strong 3D spatial visualization skills and attention to detail.
- Domain literacy in mining operations, equipment, and safety terminology.
- Technical aptitude with geospatial formats, sensor logs, and structured metadata (JSON/XML).
Desired/Bonus Skills:
- Background in Mining Engineering, Geotechnical Engineering, Robotics, Autonomous Vehicles, or Industrial Autonomy.
- Experience with autonomous haulage systems, telemetry logs, or industrial VLA models.
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Summary Statement:
This role involves high-precision annotation and quality review of multi-modal data to support AI/robotics for autonomous mining equipment. The ideal candidate combines technical annotation skills, mining domain knowledge, and a meticulous QA mindset to help build robust ground-truth data for next-generation autonomous systems.