
AI Recruitment engine to hire top global talent
What they do: AI-driven human-data platform and recruitment engine that sources, vets, and manages domain experts
Headquarters: Palo Alto, California
Founder / CEO: Ali Ansari
Employee count (reported): 1457
Recent funding signal: Reported Series A ($35M) and $500M valuation (Sept 2025)
Data infrastructure and talent sourcing for AI model training and evaluation.
Artificial intelligence / Data infrastructure
$35M
Reported post-money valuation at Series A: $500M
“Series A led by 01 Advisors; pre-seed participants reported to include LAUNCH (Jason Calacanis), Dream Ventures and others”
Job Title: Psychologist - AI trainer
Job Type: Full-time
Location: Remote, US
Job Summary:
Join our customer's team as a Psychologist - AI trainer and help shape the future of mental health technology. In this pioneering role, you will leverage your clinical expertise and research acumen to improve AI systems through nuanced understanding of human psychology. Collaborate with cross-disciplinary teams to ensure AI-driven tools are accurate, empathetic, and aligned with best practices.
Key Responsibilities:
Analyze and annotate clinical interactions for AI training and evaluation
Provide expert feedback on psychotherapy and clinical assessment datasets
Develop and refine scenarios for psychological testing in AI models
Collaborate with engineers and researchers to enhance AI’s clinical reasoning
Apply cognitive behavioral therapy frameworks to guide AI responses
Ensure compliance with ethical standards and psychological best practices
Support continuous improvement of AI through research-backed methodologies
Required Skills and Qualifications:
Doctorate (PhD or PsyD) in Psychology and active state board licensure
Demonstrated expertise in clinical assessment, psychotherapy, and CBT
Proficient in psychological testing and research methods
Exceptional written and verbal communication skills, with a passion for clear, compassionate articulation
Strong attention to detail and a commitment to data integrity
Ability to work independently in a remote, fast-paced environment
Deep understanding of best practices in psychological care
Preferred Qualifications:
Experience training AI models or working with reinforcement learning from human feedback
Familiarity with digital health platforms or technology-enabled care
Research background in human-computer interaction or mental health informatics