What the work involves
This is an open application to a talent network, not a single posting. Once verified, you may be invited to projects where AI labs need nursing judgment: writing realistic clinical scenarios (assessment, triage, medication administration, patient education), grading model responses against standards of care, flagging unsafe or fabricated clinical reasoning, and writing rationales that explain why an answer is wrong — dosing errors, missed red flags, scope-of-practice violations, documentation that wouldn't survive an audit. Some projects ask for reference answers written from scratch; others are pure comparison and rating work against a rubric you're trained on.
What the platform screens for
Mercor's screening is an AI-conducted interview against your uploaded resume. It probes whether your clinical experience is specific and recent: which units, which patient populations, what you personally did versus what your team did. Expect follow-ups that go one layer deeper than your first answer — naming a protocol, then explaining when you'd deviate from it. Licensure and credentials are verified, and reviewers weigh specialty depth (ICU, ED, oncology, peds, psych, perioperative) alongside general bedside experience. Clear written English matters as much as clinical knowledge, since most deliverables are prose.
Logistics and pay
- Fully remote and largely asynchronous; most projects have weekly throughput targets rather than fixed shifts.
- Typical commitments of 15–30 hours per week, though scope varies by project and some are short bursts.
- Observed rates in this category run roughly $60–120/hr, varying with specialty, credential level, and project difficulty — not guaranteed, and set per engagement.
- Work is contract-based. Joining the network does not guarantee an invitation; matching is rolling and depends on lab demand.
This fits nurses who want per-diem-style flexibility around clinical work, and who are comfortable being evaluated on writing quality, not just clinical accuracy.