New

Mental Health Contractor

Cambridge, MA USA

Company Description 

FL105 is a privately held, early‑stage company building AI‑driven direct‑to‑consumer products. Our mission is to help people flourish in their lives by delivering intelligent, adaptive systems that provide real value to users. We focus on practical, user‑facing AI, rapid iteration, and operating reliable products at scale.

Role Description

We’re seeking a mental health professional to help shape how AI systems understand and respond to vulnerable users. This is a flexible, part-time contract role working at the intersection of clinical expertise and AI development, with a focus on ensuring systems are safe, reliable, and impactful. You’ll collaborate with researchers, engineers, and product teams on high-impact initiatives involving evaluation, safety, and training of large language models (LLMs).

  • Type: Contract (hourly, as-needed)
  • Duration: 6 months with possibility to extend
  • Hours: Typically 5–15 hours/week
  • Schedule: Largely asynchronous, with occasional standing meetings during business hours
  • Location: Remote

Responsibilities

  • Evaluate AI Outputs: Assess responses for quality and safety
  • Data Annotation: Review and label conversations or datasets using structured guidelines
  • Develop Rubrics & Frameworks: Create evaluation criteria and scoring guidelines
  • Red Teaming & QA: Identify model failures
  • Scenario Design: Develop realistic conversations to test model performance
  • Expert Feedback: Partner with cross-functional teams to iteratively improve system behavior, advise on safety and other quality standards

Required Qualifications:

  • Graduate-level training in a relevant field (e.g., psychology, psychiatry, social work, counseling, or related)
  • Meaningful clinical experience across a range of mental health presentations
  • Strong grounding in risk assessment, clinical decision-making, and ethics
  • Comfort engaging with sensitive or ambiguous content
  • Excellent written communication and attention to detail
  • Familiarity with AI systems or large language models (LLMs)

Preferred Qualifications:

  • Licensure
  • Experience with severe or complex mental health conditions, couples, and/or families
  • Background in data annotation/labeling, content review, or structured evaluation workflows
  • Experience developing rubrics, guidelines, or clinical frameworks
  • Experience with trust & safety, policy development, or QA processes

ABOUT FLAGSHIP PIONEERING

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  

Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $80 - $120. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL105 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL105's good faith estimate as of the date of publication and may be modified in the future.

Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com. Full Applicant Privacy Notice: flagshippioneering.com/privacy-policy.

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