Career | Psychotherapy AI Researcher & Prompt Engineer | Mentalyc

Psychotherapy AI Researcher & Prompt Engineer


world wide / Remote

  • Job Type: Part-Time
  • Function: Research Sci/Assoc/Mgr
  • Industry: HealthTech/Digital Health
  • Post Date: 02/12/2024
  • Website:
  • Company Address: San Francisco, California 94114, US
  • Salary Range: $50,000 - $150,000

About Mentalyc

AI tools for therapists. Our first product is an AI-scribe, which extracts therapy notes directly from a video call (telemedicine), saving up to 30% of therapists' working time. We plan on further expanding into therapy analytics, helping therapists make better decisions.

Job Description

• Level: Mid

• Job type: Part-time (contract)

• Location: Global - Remote

• Team: AI, Product, Psychology


What We Offer:

  • Opportunity to work at the intersection of psychotherapy, AI, and cutting-edge technology.
  • Collaborative work environment with a diverse and international team.
  • Flexible working hours and remote work options.
  • Competitive pay based on experience and qualifications.
  • Opportunities for professional growth and development in the mental health field.


  • Conduct research on psychotherapy, payer requirements, therapy progress and efficacy.
  • Analyze note editing behaviors and gather clinician feedback to identify areas for improvement in AI notes.
  • Introduce new note types and ensure compliance with industry standards based on research insights and clinician feedback.
  • Develop strategies for measuring and tracking therapy progress.
  • Collaborate with product and growth teams to optimize user experience and streamline AI-generated note adoption.
  • Monitor key performance indicators (KPIs) to guide product development and user experience improvements around note-taking and editing.
  • Maintain strong relationships with clinicians and stakeholders for valuable feedback and insights.
  • Facilitate training sessions and workshops to help clinicians effectively use AI-generated notes.
  • Develop educational materials with marketing and communications team to promote AI-generated notes’ benefits and best practices.


  • Advanced degree in Psychology, Psychotherapy, or a related discipline.
  • Clinical experience in various therapy settings and modalities (individual, couple, family, child, group; CBT, DBT, psychodynamic therapy).
  • Strong understanding of psychotherapy research, therapy progress analysis, and payer requirements for therapy notes.
  • Experience with clinical documentation, case analytics, audits, and quality assurance.
  • In-depth knowledge of compliance requirements (e.g., HIPAA) and industry standards for therapy documentation.
  • Basic understanding of data science principles or machine learning concepts
  • Excellent problem-solving, critical thinking, and research skills.
  • Strong communication and collaboration abilities, with experience working in cross-functional teams.
  • Experience designing and conducting user surveys, usability tests, and other user research methods.
  • Familiarity with data analysis and visualization tools (e.g., Excel, Tableau, R, Python).

Personal Qualities:

  • Curious and inquisitive mindset with a passion for exploring new ideas and technologies.
  • Adaptable and comfortable working in a dynamic, fast-paced environment.
  • Commitment to improving mental health care through innovative solutions.
  • Strong attention to detail and ability to synthesize complex information.
  • Excellent problem-solving and critical thinking skills.
  • Team player with strong communication and collaboration abilities, experienced in working with cross-functional teams.


  • Proficiency in prompt engineering and optimizing AI-driven note-taking solutions.
  • Experience in mental health or healthcare technology companies.
  • Familiarity with AI technology advancements, particularly large language models (LLMs).
  • Proficiency in programming languages (e.g., Python, R) and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Publications or presentations in psychotherapy research or AI technology conferences.
  • Project management experience in research or product development contexts
  • Multilingual skills, especially Spanish, French, German, Chinese.
  • Knowledge of user experience (UX) design or user-centered design principles.
  • Track record of translating research insights into practical applications or products.
  • Active engagement in mental health, AI, or technology communities (networking, events, memberships).

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