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Make your next data or AI hire a clearer one.

Useful starting points for defining roles, assessing the skills that matter, and choosing a hiring plan that fits the work.

Explore the field guide
STAFFAI FIELD NOTESHow to hire
in AIRoles · Skills · Hiring plan
AI hiring field guide

Start with the work, not the buzzwords.

There is no single “AI hire.” The right search begins by connecting your goal to the skills and experience needed to deliver it.

01 · Define

Make the role outcome-led.

Write down what this person should improve, build, or own in the first year. Then separate essential skills from skills that can be learned on the job.

  • What will they deliver?
  • Who will they work with?
  • What technical environment will they inherit?
02 · Map skills

Match expertise to the problem.

AI, data, and engineering roles overlap, but they are not interchangeable. Align the search to the actual system and stage of work.

  • Data foundations and pipelines
  • Machine learning and model deployment
  • LLMs, retrieval, evaluation, and product integration
03 · Assess

Evaluate how people think.

Use structured, role-relevant conversations to learn how a candidate approaches trade-offs, communicates decisions, and solves realistic problems.

  • Ask for a concrete project example
  • Explore constraints and trade-offs
  • Give candidates a clear, fair process
04 · Plan

Choose the right hiring route.

Permanent, contract, executive, graduate development, training, and embedded delivery options solve different needs. Choose based on timing, scope, and ownership.

  • Define timing and team capacity
  • Decide whether skills or delivery are missing
  • Agree on what success looks like
Put the guide into practice

Have a role or project taking shape?

Talk it through with a team that understands technical recruiting and data work.

Talk with StaffAI