Data Operations Lead

The Company

Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes, and we’re combining human and artificial intelligence to lead the charge.

The Role

Tutor built, owns, and operates a fleet of robots for internal use in Watertown, MA. Our robots generate thousands of hours of robot data a week, which our research team uses to improve our state of the art foundation models for robot manipulation.

We are looking for a Data Operations Lead to ensure that these thousands of hours of data are the highest quality they can possibly be. You will work closely with our research team, train foundation robot models, and run experiments to understand and define what makes robot data high quality. You will lead our operations team of 50+, building systems of observability and feedback to ensure that they generate the highest quality data as defined by you and our research team. As the saying in AI goes, “garbage in, garbage out”. You will be responsible for ensuring there is no “garbage in”.

What You’ll Do:
• Coordinate an existing team of 50+ people to use our robots to generate high quality, relevant data for our foundation models

• Determine what our fleet of robots should do to best maximize company objectives

• Work with our research team to define what high quality data is, and how to achieve it

• Train and evaluate robot models, to understand how data and models affect one another

• Manage an operations team to achieve high uptime of the robots. Coordinate maintenance replacements and engineering assistance if needed

Requirements:
• 1-5+ years of experience in a product, engineering, research, or technical operations lead role

• Strong leader, proven track record implementing and maximizing KPIs on cross-functional teams

• Comfortable working with complicated software and hardware systems in physical environments

• Strong communication skills, with the ability to translate abstract technical concepts into concrete operational changes

• Independent thinker and operator, who will continuously generate experiments and ideas that push forward our objectives

Nice to Haves:
• Comfort and experience building tooling software (with AI tools or otherwise)

• Familiarity with AI models and data

• Experience working in robotics