Operations at AI Companies jobs

Operations at AI companies covers the classic functions — recruiting, finance, people, chief-of-staff work — plus one that's genuinely new: human-data operations, the teams running annotation programs and RLHF feedback pipelines. Lean headcounts mean these roles arrive with unusually wide scope and little ceremony.

The AI-specific skills are quality control on human-labeled data, managing eval and annotation vendors, and keeping a hiring pipeline moving in a market where every ML engineer holds five offers. Remote policies vary more here than anywhere else on the board — ops roles feel the office-return pull first. Salary transparency is thin outside US postings.