Research Engineer

Responsibilities: Build automated systems to verify and assure data quality for a decentralized AI training data marketplace. This involves identifying failure modes through manual review and designing hybrid AI and rule-based verification systems.

Requirements: Requires a deeply technical background in AI/ML or software engineering with specific experience in data ingestion and processing. Candidates must be able to solve ambiguous, open-ended problems and reason about data quality from first principles.

Key skills: AI/ML Engineering, Software Engineering, Data Ingestion, Data Processing, Automated Quality Assurance, Rule-based Systems, Human-in-the-loop Review, Data Verification

Keywords: AI Training Data, Infrastructure, Machine Learning, Data Quality, Decentralized Marketplace, Fuzzing, Unstructured Data, YC-backed, Data Verification, AI Labs