Sunday

Robotics

TechnicalProgramManager,DataAnnotation

$145–195k ~AI est. Redwood City, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Technical Program Manager, Data Annotation at Sunday”

Industry & Context.

Robotics
Problems you'll solve

Manage unexpected challenges

What They're Looking For.

Must Have

Clear written communication, Clear verbal communication

Nice to Have

Strategic projects lead experience, Data program manager experience, Technical skills to build tools, Leverage AI to improve productivity

How You'll Work.

Team & Collaboration

Data annotators; Machine Learning; Software engineering; Data; Key stakeholders

Communication Scope

Written communication; Verbal communication

Process & Methodology

Prioritization

Full Job Description

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 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. What You'll Do - 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 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 understand

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