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Overnight Ai Data Annotation Jobs (NOW HIRING)

Abaka AI

Technical Project Associate

Mountain View, CA · On-site

Abaka AI is committed to being the world's most trusted data partner for AI companies. The Technical Project Associate will design, build, and scale operational systems for AI data annotation and ...

Abaka AI

Technical Project Associate

Mountain View, CA · On-site

The Technical Project Associate will help design, build, and scale operational systems for AI data annotation and quality control programs, focusing on automating workflows and improving operational ...

Abaka AI

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

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Overnight Ai Data Annotation information

Which 3 jobs will survive AI?

Jobs that require complex human judgment, creativity, and emotional intelligence, such as data annotation specialists like Overnight AI Data Annotators, will continue to be essential. Roles involving critical thinking, strategic decision-making, and interpersonal skills are less likely to be fully automated. Skills in managing AI tools and understanding data are also valuable for future job security.

What is the difference between Overnight Ai Data Annotation vs Data Labeler?

AspectOvernight Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; some roles may require basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentRemote or on-site; flexible hours, often overnight shiftsRemote or on-site; flexible or daytime shifts
Industry UsageAI and machine learning companies, tech firmsTech companies, data services, AI projects
Search & Comparison IntentCommonly compared for roles involving data annotation tasksOften compared as a related data labeling role

Overnight Ai Data Annotation involves labeling data for AI models, often requiring some technical understanding, while Data Labeler is a broader term for similar tasks. Both roles are essential in AI development, but Overnight Ai Data Annotation typically emphasizes overnight shifts and may involve more specialized tools.

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Overnight Ai Data Annotation jobs near you

Data Annotation Specialist

Bot Auto

Houston, TX

Other

Posted 17 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.

Role Overview

We are seeking a highly meticulous and motivated Data Annotation Specialist to join our team. High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous driving system. In this role, you will be responsible for creating, refining, and validating the ground-truth data that powers our perception and mapping stacks. You will work directly with our engineering teams to ensure our models are trained on high-fidelity, ground-truth data that meets our rigorous safety standards.

Key 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.
Required Qualifications
  • 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 Qualifications
  • 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.
Additional Information
  • Onsite Requirement: This position requires being onsite at our Houston, TX 5 days per week.
  • Benefits: Comprehensive benefits with the opportunity to work at the forefront of the autonomous trucking industry.
Why Bot Auto?

We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We recently successfully completed the industry's first fully humanless commercial truckload, proving that our vision is a reality. If you are passionate about AI, safety, and transforming logistics, we want to hear from you.

Apply