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← Skild AI

Senior Master Annotator

Skild AI · Bengaluru, India · India

CHECKED 3H AGO

Roboticsonsitesenior
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At a glance

Highlights

  • Define gold-standard annotations for robotics datasets used in model training.
  • Own Inter-Annotator Agreement measurement and drive quality improvements.
  • Build edge-case libraries to improve annotation consistency across tasks.

Ideal candidate

Detail-oriented annotation expert passionate about robotics data quality who thrives on defining standards, coaching others, and turning ambiguous visual cases into precise, consistent guidelines.

Requirements

  • 4-7+ years of experience in data annotation, quality control, or video labeling environments
  • Strong expertise in temporal video annotation, including image, video, 3D and audio annotation
  • Experience with robotics, computer vision, or autonomous systems datasets preferred
  • Deep understanding of Inter-Annotator Agreement methodologies, quality metrics and sampling strategies
  • Experience mentoring, training, or guiding annotators to improve accuracy and consistency
  • Strong analytical skills with proficiency in Excel or Google Sheets, Python preferred
  • Ability to translate ambiguous SOPs into precise, actionable annotation guidelines
  • Exceptional attention to detail and sound judgment in ambiguous visual tasks
  • Data-driven, process-oriented mindset with strong ownership and accountability
  • Excellent written and verbal communication skills

Lab profile

About Skild AI

Building general-purpose robotic intelligence that adapts robustly to unseen scenarios.

What they build

  • General-purpose robotic intelligence
  • Scalable foundation model for robot deployment

Known for

  • Large-scale data-driven machine learning
  • Robust adaptation to unseen scenarios
  • Computer vision and manipulation
  • Simulation and embedded systems
More about Skild AI →
Apply on the lab’s site ↗