Contract Tech Recruiter (AI/ML)

Type: Temp (3–6 months) • Location: Remote US TZs

The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

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

What You'll Do (90% of your time)

Sourcing (high-volume, targeted)

• Build curated hit-lists (companies, labs, OSS repos, arXiv/Google Scholar, conference rosters).
• Run 120+ tailored outreaches/week; iterate subject lines/copy; track reply ? screen conversion.
• Deliver 12–20 net-new qualified prospects/week across the four roles.

Screening (technical + fit)

• 20–30 min calibration screen: LLM/ML fundamentals (serving, RAG, evals, fine-tuning), systems depth, and product sense.
• Validate artifacts: repos, papers/preprints, benchmarks, shipped features.
• Record structured notes to scorecards; advance/decline within 24 hours.

Interviewing (structured, signal-rich)

• Run/host first-rounds and working sessions:
• FDE: customer debug + rapid proto scenario.
• Sr ML: system design for inference/training + MLOps trade-offs.
• Research/Alignment: paper deep-dive, eval design, interpretability/RLHF discussion.
• AI PM: PRD outline + model/metric trade-offs + experiment plan.
• Keep panels on-script; capture evidence, not vibes.

Must-Haves

• 4+ yrs tech recruiting (2+ in AI/ML or deep eng). Comfortable doing first-pass tech screens.
• Fluency with ATS + LinkedIn Recruiter; hands-on with GitHub search and academic sources. xhyhwjd
• Tight communicator; zero tolerance for sloppy pipelines.