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Night Shift Medical Data Annotation Jobs (NOW HIRING)

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

... shift. • Professionalism: High degree of self-discipline and the ability to work independently ... Preferred : • Prior experience in data annotation for autonomous driving, robotics, or computer ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

... shift. • Professionalism: High degree of self-discipline and the ability to work independently ... Preferred : • Prior experience in data annotation for autonomous driving, robotics, or computer ...

Bot Auto

Data Annotation Specialist

Houston, TX

... shift. * Professionalism: High degree of self-discipline and the ability to work independently ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

... shift. * Professionalism: High degree of self-discipline and the ability to work independently ... Prior experience in data annotation for autonomous driving, robotics, or computer vision.

Avery Village

Night Shift Med Tech

Winterville, GA · On-site

$17.50 - $19.50/hr

Core Requirements As emphasized in recent regulatory findings, night shift Med Techs must have completed their initial orientation within their first 30 days, specifically including: * Emergency ...

Comrise

CA · On-site

$26 - $29/wk

Shift: 1st Shift with overtime as necessary. * Relocation: Relocation packages available for out-of-area candidates. * Time Off: 80 hours of PTO (with annual increases) and 9 paid Holidays annually.

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Night Shift Medical Data Annotation information

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

As of Jun 12, 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 June 2026, with employment types broken down into 4% As Needed, 78% Full Time, 17% Part Time, and 1% Nights. Highlights an 100% Physical job distribution, with an average salary of $37,275 per year, or $17.9 per hour.

Data Annotation Specialist

Bot Auto

Houston, TX • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with cutting-edge autonomous trucks. They are seeking a highly meticulous and motivated Data Annotation Specialist to create, refine, and validate the ground-truth data that powers their perception and mapping stacks.
Responsibilities:
• 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.).
• Vectorized Map Annotation: Annotate and edit high-definition vectorized map elements, including lane geometries, traffic signals, and regulatory features.
• Human-in-the-Loop Refinement: Examine and refine autolabeling results, identifying edge cases where automated systems may falter.
• Quality Assurance: Review auto-generated labels against strict pass/fail criteria to ensure only the highest quality data enters our training pipelines.
• Cross-Functional Feedback: Collaborate closely with Machine Learning and Mapping engineers to provide feedback on labeling guidelines and tool improvements.
• Documentation: Assist in maintaining clear and concise labeling SOPs (Standard Operating Procedures) to ensure consistency across the data operations team.
Qualifications:
Required:
• Extreme Attention to Detail: A proven track record of identifying small discrepancies in complex datasets or visual environments.
• Communication Skills: Outstanding verbal and written communication abilities; ability to clearly explain complex visual scenarios to technical teams.
• Technical Aptitude: Comfortable working with proprietary software tools and navigating 3D environments (Point Clouds/Bird’s Eye View).
• Adaptability: Ability to thrive in a fast-paced startup environment and pivot between perception and mapping tasks as project priorities shift.
• Professionalism: High degree of self-discipline and the ability to work independently while meeting rigorous quality and throughput targets.
Preferred:
• Prior experience in data annotation for autonomous driving, robotics, or computer vision.
• Understanding of autonomous vehicle sensor modalities (LiDAR, Radar, Cameras).
• Experience with 3D labeling tools.
• Familiarity with HD maps.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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