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What you'll be doing:
Work with linguists, annotators, academics, and researchers to ensure NVIDIA stays at the forefront of the definition of data quality.
Own communication and thought leadership around data quality with key customers and collaborators.
Supervise the training materials and curriculum for our entire annotator base.
Supervise the creation of our “golden datasets” to ensure we have a quality signal on our annotators in a scalable way.
Work with project teams to understand the nuances and challenges of developing good training data, come up with perspectives on how those edge cases should be handled, and relay that perspective to our customers.
Create and scale a data innovation team to use pioneering methods to ensure annotation quality and increase data value.
Key Collaborator inplanning/design/implementationand testing of annotation tooling.
Lead a global workforce of over a thousand annotators including a data science team, and a quality assurance team.
What we need to see:
PhD. Degree or equivalent experience with focus on applied machine learning.
7+ years of overall experience with 4+ years of experience inManagement/leadershiproles.
Strong communication skills.
Ways to stand out from the crowd:
3 years of demonstrated ability with LLMs.
Experience in creating datasets from scratch andrepurposing/reannotating.
Excited to solve ambiguous problems.
A relentless attitude of testing and iterating.
You will also be eligible for equity and .
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