Technical Program Manager, Data Annotation

Sunday RoboticsRedwood City, CA

About The Position

At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we’d love to hear from you. We're looking for an Technical Program Manager, Data Annotation to join our Data team and own the project side of data annotation. This role is about designing and rolling out data annotation tasks to our data annotators so that they're delivering data that is is high in quality, quantity, and variety. You'll work in coordination with Machine Learning, Software engineering, and Data to define the framework and tools on which to build a data annotation ontology around. Your role is vital to ensuring our data annotators are aligned with the guidances for annotations and that the machine learning team are receiving what they need to run successful experiments.

Requirements

  • Clear written and verbal communication to guide our data annotators
  • Your ability to manage unexpected challenges
  • Your ownership of key stakeholders with data annotators, engineering, and support
  • Excitement for the growth and development of data annotation
  • Someone adept at prioritization of competing requests, who's able to move both quickly, and in an organized manner
  • A level of hardcore-ness while still treating people like people
  • Intermediate level understanding of ML

Nice To Haves

  • Previous experience being a strategic projects lead or data program manager for other AI labs/data vendors
  • Technical skills to build tools for data annotation
  • Ability to leverage AI to help improve productivity

Responsibilities

  • Own task creation for data annotation ontology
  • Manage the project side of data annotations
  • Create documentation
  • Be in the weeds and annotate data yourself anytime something new is being designed
  • Create data annotation processes
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