Data Annotation Lead

Reposted 4 Days Ago
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Redwood City, CA, USA
In-Office
Senior level
Artificial Intelligence • Information Technology • Robotics • Software
The Role
Lead and build an in-house data annotation team, define processes and tooling, coordinate with ML and engineering, create documentation, manage annotators, and perform annotations when needed.
Summary Generated by Built In

Join Us in Building the Future of Home Robotics

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.

What to Expect

We're looking for a Data Annotations Lead to join our Data team and own the operation side of data annotation and scale the team behind it.

This role is about building and leading a world class in-house data annotation team that is able to pivot quickly to any research experiment while delivering on quality, quantity, and variety when it comes to data.

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 team around. Your role is vital to ensuring our data annotators are aligned with the guidances for annotations and are upholding a culture of happiness.

What You'll Do

  • Build a data annotation team

  • Own annotation operations end-to-end

  • Manage the people side of data annotations

  • Create documentation

  • Be in the weeds and annotate data yourself anytime something new is being designed

  • Create data annotation processes

  • Own the in-house vs. vendor mix and manage external partners where used

What You'll Bring

  • 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 Have

  • Previous experience leading data annotation teams

  • Previously a top 2% annotator yourself in the past

  • Technical skills to build tools for data annotation

  • Ability to leverage AI to help improve productivity

At Sunday Robotics, we’re building technology shaped by real people — curious, creative, and diverse. We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria — we don’t want that to be the reason we miss out on great talent.

Skills Required

  • Clear written and verbal communication to guide data annotators
  • Ability to manage unexpected challenges
  • Ownership of stakeholder relationships with annotators, engineering, and support
  • Excitement for growth and development of data annotation
  • Adept at prioritization of competing requests; able to move quickly and stay organized
  • Treat people with respect while maintaining high standards ('hardcore-ness' with empathy)
  • Intermediate level understanding of machine learning
  • Previous experience leading data annotation teams
  • Technical skills to build tools for data annotation
  • Ability to leverage AI to improve productivity
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The Company
HQ: Boulder, CO
70 Employees

What We Do

Powered by state-of-the-art AI models and an ever-expanding Skill Library, Memo doesn't just know how to do a few tasks—Memo improves its skills faster than any robot that has come before it.

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