Contract Talent Sourcer (AI/ML + Product)

What You’ll Do: (Sourcing-First) Market mapping: Build company/lab/OSS target lists; track movers (arXiv, OpenReview, Google Scholar, Hugging Face, GitHub).Outbound at scale: Tailored outreaches; iterate subject/copy; test 3–5 variants; maintain reply metrics. Profile calibration: Validate signals (repos, papers, shipped features, MLOps stack, product outcomes).Light pre-screen (10–15 min): Confirm level, comp ballpark, work auth, location, timeline, and role fit; capture structured notes. Handoff: Package candidates with scorecard snapshot + links; book with recruiter/HM.Role Signals You’ll TargetFDE: Customer-facing build/ship, Python + data wrangling, rapid proto, consultative comms. Senior ML Eng: Prod LLM/ML (inference, RAG, fine-tune, evals), MLOps (deploy/observability).Research/Alignment: Strong math/ML fundamentals; safety/evals/interpretability/RLHF artifacts.

AI PM: Shipped AI features, experiment cadence, metric/latency/trade-off literacy.

Must-Haves: 2+ years sourcing for deep eng/ML/AI roles

Tools: ATS, LinkedIn Recruiter, GitHub search, arXiv/Scholar, Notion/Airtable, Gem/Fetcher. Clean pipeline habits Engagement30–40 hrs/week