# Data Labeling Operations Manager at Bobyard

- Company: Bobyard
- What the company does: AI Takeoff and Estimate Software. Backed by Pear VC.
- Company website: https://www.bobyard.com/
- Type: Startups
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $90K to $125K base salary per year (USD)
- Posted: 2026-08-13
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/bobyard/0c489ca9-1268-4f17-9c84-ffbe25422f27
- Page: https://www.1752.vc/careers/jobs/bobyard-data-labeling-operations-manager/

## About the role

Our models are only as good as the data behind them. You'll own the labeling operation end to end — the annotator team, the quality bar, the datasets themselves. This is a first-in-function hire: there's no playbook waiting for you, you'll build it. Success looks like a labeling operation that's fast, accurate, and trusted enough that ML engineers stop double-checking your team's work. Build and run the annotator team — recruit, onboard, train, and hold the bar on quality and throughput

## What they're looking for

- Direct experience managing a labeling, annotation, or data-quality team
- Extremely detail-oriented — you notice when data is wrong, inconsistent, or incomplete before anyone points it out
- Strong operational instincts — you can run many datasets, annotators, and priorities at once without dropping the details
- Technical enough to work with ML engineers — you understand false positives, false negatives, class imbalance, and train/test splits, and you can set up your own tools to speed up labeling
- Resourceful — when we need a new kind of data, you figure out how to find it
- High ownership — you don't just coordinate the work, you make sure the dataset is actually good

Tags: Engineering