Contract Talent Sourcer (AI/ML + Product)

Type: Temp (6–9 months) • Location: Remote US TZs

Target Roles: Forward Deployed Engineer, Senior ML Engineer, Research Engineer/Scientist (Alignment), AI Product Manager

Own the top of funnel : map the market, generate calibrated pipelines fast, and hand off HM-ready prospects with crisp notes. No “post & pray.”

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 Target

• FDE: 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

Engagement

• 30–40 hrs/week