Cognitive Scientist: Group AI & Collaboration Research

Circle Labs; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Equity

Health coverage

AI Engine access

Job summary

Circle Labs in San Francisco is seeking a researcher to study how people and AI shapes think, make, and spend time together. You will investigate attention, trust, shared understanding, and participation in human–AI groups, turning evidence into practical evaluation and improvement strategies for shapes.inc.

Work with designers and engineers to translate findings into prototypes and evaluations of conversational behavior, and communicate findings to guide concrete product decisions and follow-up

Qualifications

• Proven experience in designing and executing cognitive science/psychology studies.
• Ability to combine qualitative and quantitative data.
• Experience recognizing confounds and avoiding overstated causality.
• Experience communicating findings to non-specialists.
• Proficiency with Python, R, or equivalent research tools.

Responsibilities

• Study delegation effects on trust, accountability, participation, and belonging.
• Design and run studies using experiments, interviews, surveys, and observation with clear hypotheses and consent.
• Compare collaboration with one assistant vs. teams of agents; measure shared understanding and coordination.
• Analyze outcomes for groups and individuals, accounting for relationships and repeated interactions.
• Collaborate with AI interactions designers and engineers to translate findings into prototypes and assessments.
• Communicate findings and limitations in briefs guiding product decisions and follow-ups.

Skills

Cognitive science research

Experimental design

Statistical analysis

Qualitative methods

Stakeholder communication

Tools

Python

R

Job description

Circle Labs in San Francisco is seeking a researcher to study how people and AI shapes think, make, and spend time together. You will investigate attention, trust, shared understanding, and participation in human–AI groups, turning evidence into practical evaluation and improvement strategies for shapes.inc.

Work with designers and engineers to translate findings into prototypes and evaluations of conversational behavior, and communicate findings to guide concrete product decisions and follow-up