Field-by-field: what an O-1 evidence record looks like, and how engaging the person works when you never file.
Role-by-role guides to engaging O-1 caliber specialists — what the evidence record looks like in each field, why these candidates never surface in a normal pipeline, and how the engagement works without your company filing anything.
Production ML systems, open-source records, competition results.
Publication and citation records that map directly onto O-1 criteria.
Judged competitions, original methods, high-impact analyses.
Patents, hardware demos, and prize-winning systems.
Flight heritage, published work, and mission-critical contributions.
Tape-outs, patents, and process innovations in a supply-constrained field.
Peer-reviewed methods and demonstrable market results.
CVE discoveries, conference talks, and tooling the field actually uses.
Infrastructure used at scale and open-source maintainership.
First-author publications and cited lab methods.
Original algorithms and datasets other labs build on.
Benchmark results, patents, and deployed perception systems.
Model releases, benchmark wins, and cited papers.
Training and serving systems the field measures itself against.
Perception and planning work with real-world deployments.
Published theory with industrial application records.
Don't see your role? Paste the listing — the match check works for any specialist role, listed here or not.
