Hire
AI Evaluation & Safety Engineers

A AI Evaluation & Safety Engineer typically costs $27,950/mo – $37,800/mo in total monthly compensation for a senior hire working remotely, with an upward skew for US-based and executive roles. On top of base, budget 10–25% for equity or bonus and roughly 15–20% fully-loaded overhead. Exzev charges a flat placement fee, not a percentage — pricing is transparent and shared upfront.

First shortlist lands in 48 hours. Most AI Evaluation & Safety Engineer searches close between two and six weeks end-to-end, versus a market average of roughly 85 days for this role and location. The main drivers are interview throughput on your side and how tightly scoped the brief is — we guide both before sourcing starts.

A senior AI Evaluation & Safety Engineer has productionized models under real latency and cost constraints — not notebooks. Mid-level engineers fine-tune and evaluate. For GenAI and ML platform work, seniority maps directly to inference cost, retrieval quality and eval discipline. Mid-level AI Evaluation & Safety Engineers in senior seats usually ship a demo, not a product.

A full-time AI Evaluation & Safety Engineer makes sense once the work is continuous and headcount-justified. For early-stage or one-off builds (a single product, a migration, an audit), a fractional or contract AI Evaluation & Safety Engineer is usually more efficient. Ask one question: will this person be fully utilized inside six months?

Yes. Our active talent pool for this role spans roughly 190 pre-vetted candidates across 30+ countries, most of them comfortable with async-first or overlap-based remote setups. We match candidates to your working hours, location preferences (EU, US, UAE) and compliance constraints (EoR, contractor, local entity) before they reach your shortlist.

Every AI Evaluation & Safety Engineer candidate runs a live system-design session, a code review of a real PR, and a take-home bounded to four hours. We reject 80%+ before you ever see a CV. You only interview engineers who have shipped the same stack to production at a similar-stage company.