Transluce
AI Behavior Researcher - Child Safety and Mental Health
San Francisco, USA
Sponsorship not specified$250k-$450kDetected 84 days ago
Machine LearningData SciencePublic HealthResearchExperimental Design
About the role
- As an early member of a highly collaborative team, you will learn and grow quickly, working directly with leading AI researchers, frontier AI labs, and prominent child safety and mental health experts.
- This includes: Identify and measure important emerging AI behaviors that may impact vulnerable users.
- Adapt existing methods to cover new domains, monitor evolving safety issues and trends, and inform key decisions in industry and government.
Responsibilities
- Identify gaps in current evaluations and design methods to address them.
- Carry out human subjects research to inform and validate evaluation design.
- Build and manage relationships with clinicians, social science researchers, affected users, civil society, and relevant safety researchers at frontier labs.
- Enough ML and programming fluency to navigate and modify existing evaluation codebases, even if you wouldn't build infrastructure from scratch.
- Reliable and trustworthy results: meticulous, good experimental design, epistemic self-awareness and transparency.
- We're particularly interested in candidates with hands-on experience working directly with domain experts to integrate their expertise into system design.
- Transluce is a fast-moving nonprofit research lab building the public tech stack for AI evaluation and oversight.
Requirements
- Ability to balance between the needs of AI researchers and domain experts, as well as between researchers and senior decision makers.
Compensation
- $250,000 - $450,000/year + benefits Description: Transluce is a fast-moving nonprofit research lab building the public tech stack for AI evaluation and oversight.
Benefits
- We are pioneering research into how AI chatbots and companions impact mental health and child safety, and we're improving outcomes for millions of sensitive AI interactions with vulnerable users.
- Quantitative research background in AI evaluation, HCI, psychology, social data science, public health, or a related field.
- We are looking for interdisciplinary researchers who can bridge domain expertise in mental health, child safety, or adjacent social science with enough technical fluency to actively develop and refine evaluation methods.
- Core responsibility: Build and extend Transluce's AI evaluation methods and oversight tools for mental health, child safety, and related topics.
Company info
- We are located in San Francisco and enthusiastic to work together in-person.
- We are open to sponsoring international visas.
Apply directly at Transluce →Create a free account for alerts like thisView Transluce immigration profile
This listing is sourced directly from Transluce's careers page and normalized into a canonical job model.