Map Annotator

RLINK SOLUTIONS LLC; Sunnyvale (CA); On-site; USD 28,000 - 41,000; Full time

Job summary

RLINK SOLUTIONS LLC is seeking a Data Annotator/Map Annotator for our AV Labs in Sunnyvale, onsite. You will transform raw sensor data into high-precision training sets and static road maps essential for training safe self-driving systems.

You will work across 2D imagery and 3D LiDAR data, build map layers, verify outputs, and coordinate with engineers to refine labeling standards while meeting production KPIs in a dynamic project environment.

Qualifications

• Bachelor’s degree or relevant GIS background.
• 3+ years of data annotation experience in autonomous driving or robotics.
• Experience with 2D and 3D annotation platforms and LiDAR.
• Strong spatial reasoning and road-network knowledge.
• On-site work five days a week.

Responsibilities

• Label and classify data across 2D images and 3D LiDAR.
• Build and verify static map layers, lane connectivity.
• Review labeled data and auto outputs for anomalies.
• Collaborate with engineers to refine labeling rules.
• Follow project instructions and meet KPIs.

Skills

2D annotation

3D annotation

LiDAR data

GIS knowledge

Spatial reasoning

Education

Bachelor’s degree in GIS or related field

Tools

Annotation platforms

LiDAR viewer

Job description

Job Title: Data Annotator/Map Annotator

Location: Sunnyvale, CA (onsite)

Contract: 06+ months

Description:

Summary

We are looking for a skilled Data Annotator to join our AV Labs team. In this role, you will be at the forefront of autonomous vehicle development, transforming raw sensor data into high-precision training sets and foundational road maps essential for training safe self-driving algorithms.

This role brings together static road modeling and dynamic scene understanding. While annotators may focus primarily on specific areas - such as 3D perception or HD mapping, you will maintain the versatility to dynamically pivot across different data modalities and project streams as priorities evolve. The ideal candidate is a detail-oriented spatial thinker with strong analytical judgment, dedicated to ensuring absolute data accuracy and logical consistency.

Key Responsibilities

• Label, classify, and construct high-fidelity datasets across 2D camera imagery and 3D LiDAR point clouds, covering dynamic objects as well as static roadway environments.
• Build and verify static map layers, lane connectivity, and intersection paths, ensuring all roadway features and traffic controls reflect accurate real-world navigation rules.
• Perform rigorous reviews across labeled data and auto-generated outputs, proactively intercepting sensor anomalies, edge cases, and structural inconsistencies.
• Partner closely with engineers to resolve corner cases, define labeling standards, and continuously refine labeling rules and taxonomies.
• Follow complex project instructions, meet production KPIs, and adapt quickly to evolving toolchains, regional driving rules, and shifting project priorities.

Requirements

• Bachelor’s degree or relevant background in GIS or 3+ years of relevant data annotation experience.
• Prior data annotation experience within the Autonomous Driving or Robotics industry.
• Hands-on experience working with 2D and 3D annotation platforms, specifically navigating LiDAR point clouds, aerial/orthophotos, and multi-camera systems.
• Exceptional spatial reasoning and a solid grasp of road network layouts, lane connections, traffic laws, and multi-sensor spatial relationships.
• High mental agility with the capability to pivot quickly across different project scopes, tooling environments, and geographic regions.
• Comfortable working on-site 5 days a week.