Autonomous Vehicle Data & Map Annotator (Onsite)

RLINK SOLUTIONS LLC

Sunnyvale (CA)

In loco

USD 42.000 - 63.000

Tempo pieno

3 giorni fa
Candidati tra i primi

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Descrizione del lavoro

RLINK SOLUTIONS LLC is seeking a Data Annotator/Map Annotator in Sunnyvale, CA. You will transform raw sensor data into high-precision training sets and foundational road maps for self-driving tech.

The role blends static road modeling with dynamic scene understanding, with opportunities to focus on 3D perception or HD mapping while remaining adaptable across data modalities. The ideal candidate will have a GIS background or 3+ years in data annotation, hands-on experience with LiDAR and

Competenze

  • Bachelor’s degree or relevant GIS background or 3+ years of data annotation experience.
  • Hands-on experience with 2D/3D annotation platforms navigating LiDAR, orthophotos and multi-camera systems.
  • On-site work required five days a week.

Mansioni

  • Label and classify data across 2D camera imagery and 3D LiDAR point clouds.
  • Build and verify static map layers, lane connectivity, and intersection paths.
  • Review labeled data and auto-generated outputs for sensor anomalies and inconsistencies.
  • Collaborate with engineers to refine labeling rules and taxonomies.
  • Follow project instructions and adapt to evolving toolchains and regional driving rules.

Conoscenze

Spatial reasoning
Attention to detail
On-site work readiness

Formazione

Bachelor’s degree or GIS background
3+ years of data annotation experience

Strumenti

2D/3D annotation platforms
LiDAR point clouds
Aerial orthophotos
Multi-camera systems

Descrizione del lavoro

RLINK SOLUTIONS LLC is seeking a Data Annotator/Map Annotator in Sunnyvale, CA. You will transform raw sensor data into high-precision training sets and foundational road maps for self-driving tech.

The role blends static road modeling with dynamic scene understanding, with opportunities to focus on 3D perception or HD mapping while remaining adaptable across data modalities. The ideal candidate will have a GIS background or 3+ years in data annotation, hands-on experience with LiDAR and

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