micro1
CurrentHuman data engine for frontier AI labs
Remote — Palo Alto, CA
Human Data Expert
Feb 2026 — Present- Manage a team of generalists and Human Data Managers supporting a large-scale robotics training data pipeline, owning quality review, fraud detection, onboarding and payments operations end to end.
- Designed and built FrameCapture, an internal desktop audit tool with a multi-threaded browser-automation architecture, to verify submission integrity across the annotation pipeline.
- Built UIAR, a UI augmentation layer adding task-tracking identifiers to internal project boards, improving pipeline visibility for reviewers and leads.
- Designed a QA reporting framework combining session replay, activity logging and network capture into a single exportable audit report supporting quality and fraud-review decisions.
- Built a biometric fraud-detection system using computer-vision tracking and anomaly-detection modelling to flag suspicious submission behaviour at scale.
- Built an automated pipeline-activity reporting system with quality scoring and refreshing visualizations to track team and pipeline performance.
- Partnered directly with a Strategic Project Lead on an AI-Lab-facing engagement, contributing to the design, build and optimization of the labeling tools supporting the project.
Promoted after one month
AI Expert Generalist
Jan 2026 — Feb 2026- Delivered AI training data annotations with a sustained quality score above 95%, maintaining strict adherence to evolving project guidelines and workflows.
- Coordinated with peer annotators to share workflow improvements, contributing to team-wide submission quality and approval rates.