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Research Engineer
RemoteUnited States only
- Role
- AI / ML
- Employment
- Full-time
$140k–$250k/yr
Check eligibility
Open to US only. Set where you work from to check your eligibility.
No BS summary
This research engineer role at a YC-backed AI-training-data startup focuses on building the automated systems that assure data quality end-to-end (rule-based checks, ML, human-in-the-loop). Must be deeply technical, have proven AI/ML or software-engineering experience with real data ingestion/processing, and be comfortable working full-time from San Francisco (though the role is Remote within the US).
What you'll do
- Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges
- Perform initial manual data quality review to deeply understand failure modes
- Build systems to automate quality checks at scale using rule-based and AI-driven approaches
- Design hybrid systems that balance automation with human-in-the-loop review where appropriate
- Continuously improve verification methods as the data landscape and AI tooling evolve
What they require
- Deeply technical, with a strong learning slope and the ability to ramp quickly in a fast-moving field
- Background in AI/ML engineering, or software engineering at an AI-focused company with real data ingestion and processing experience
- Ability to reason about likely data quality problems from first principles
- Comfortable owning ambiguous, open-ended problems end to end
- Comfortable working in person, full-time, in a San Francisco office
journal article; published in History in 1976
What people say about this company
3.4/ 5
$140k–$250k/yr