Data Ops TPM: AI Annotation & ML Data for Robotics

Emploive

Redwood City, Northern (CA, KY)

Hybrid

USD 125,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Equity

Job summary

Sunday Robotics is seeking a Technical Program Manager, Data Engine to own the project side of data annotation or data collection. You will design and roll out tasks to operators to ensure data is high quality, plentiful, and diverse.

Collaborate with ML, Software, and Data teams to define frameworks for ontology and alignment with annotations and collection guidelines. You will drive data annotation/collection processes, create documentation, and even annotate data yourself when new designs are

Qualifications

  • Clear written and verbal communication to guide our data operators.
  • Ability to manage unexpected challenges.
  • Ownership of key stakeholders with data operators, engineering, and support.
  • Excitement for the growth and development of AI data.
  • Ability to prioritize competing requests, move quickly and in an organized manner.
  • A level of hardcore-ness while treating people like people.
  • Intermediate level understanding of ML.

Responsibilities

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

Skills

Communication
Stakeholder management
Prioritization
Ownership
ML understanding
Problem solving
Hands-on data annotation

Tools

Tools for data annotation

Job description

Sunday Robotics is seeking a Technical Program Manager, Data Engine to own the project side of data annotation or data collection. You will design and roll out tasks to operators to ensure data is high quality, plentiful, and diverse.

Collaborate with ML, Software, and Data teams to define frameworks for ontology and alignment with annotations and collection guidelines. You will drive data annotation/collection processes, create documentation, and even annotate data yourself when new designs are

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