AI Model Policy Trainer, Mental Health (Seattle)
- Location
- Seattle, WA
- Salary range
- USD $93,600 – $135,200 base
- Workplace
- In office
- Level
- Individual contributor
- Job family
- AI Safety
- Posted
- 6 weeks ago
Stated as USD $45 – $65 an hour, at 40 hours a week.
The T&S Network estimates this role to be P2, Professional. The typical base salary for that level in Content Policy & Governance is $90k to $130k in Seattle. Key skills at this level: reads policy text closely and applies it to cases it did not anticipate, writes policy language that survives adversarial reading, and traces a rule back to the harm it exists to prevent.
Why this level
Estimated from the posting rather than stated by the employer: posts $94k to $135k base in Seattle · the title reads as P2.
The role, in T&S terms
Written by the T&S Network from Handshake's posting.
Evaluates how conversational AI systems respond to users discussing emotional distress, mental-health conditions, unusual beliefs, and possible crises. The work is rating model responses and tool actions against a detailed mental-health safety policy, with trainers calibrating to keep judgments consistent. The posting places the role within Handshake AI, which works with frontier AI lab researchers on evaluations and model improvement.
What you'd do
- Review user conversations and AI responses on mental health, crisis, paranoia, hallucinations, and mania
- Apply detailed policy taxonomies to classify user requests and model behavior across single messages and longer conversations
- Separate validating a person's emotions from validating an unsupported or harmful explanation, and flag reinforced or escalated beliefs
- Judge whether the AI's tool actions, from searches to purchases and posting, were appropriate
- Write rationales tying each decision to conversation evidence and policy
- Take part in calibration exercises and give evidence-based peer feedback to other trainers
- Flag ambiguous examples, gaps, and edge cases that need policy clarification
What it asks for
- Must have prior hands-on work helping individuals or families through mental or behavioral health struggles
- Background in clinical, social service, caregiving, peer support, advocacy, or crisis roles
- Clinical licensure valued but not required
- Familiarity with conversational AI tools (preferred)
- Experience with rubric-based evaluation, case documentation, triage, or quality assurance (preferred)
- Experience working with people in crisis, psychosis, mania, or suicidal ideation (preferred)
- Knowledge of how cultural background, language, disability, and access to care shape mental-health talk (preferred)
Worth knowing
- Regular exposure to sensitive material including suicide, self-harm, abuse, violence, and psychosis
- Support resources available for exposure to distressing content
- Full-time, non-exempt schedule
- Employed through TCWGlobal, a W-2 vendor assignment supporting Handshake AI
Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Handshake before you apply. If we got something wrong, report this listing.
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Still listed 14 hours ago
About Handshake
The employer
About Handshake
Marketplaces and commerce · AI and model safety · Founded 2014
Career network and job marketplace connecting students and other job seekers with employers, colleges and paid AI training work.
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