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Interhuman AI builds social intelligence infrastructure that makes AI systems capable of understanding human behavior. Our API detects and interprets behavioral signals like hesitation, engagement, confusion, interest across voice, facial expressions, body language, and words. We’re looking for a motivated intern to join our AI and data team in Copenhagen. This is a hands-on role where you’ll work directly with our AI and behavioral science teams on the data, annotation, and interpretation infrastructure that powers our social intelligence API.
Job Responsibility:
Work hands-on with real multimodal data (video, audio, transcripts) used to train and evaluate our models
Help review and refine our catalog of social signals and behavioral cues
Review model outputs and interpretation results to assess whether they make sense from a behavioral science perspective
Assist in identifying relevant datasets, scientific literature, and annotation practices related to human communication, social interaction, and behavioral observation
Help spotting anomalies, unclear cases, or systematic issues in data and annotations - and clearly documenting what you find so the team can act on it
Requirements:
Studying or have completed a degree in Psychology, Behavioral Science, Cognitive Science, Human-Computer Interaction, or a related field
Curious about how people communicate through voice, facial expressions, posture, and micro-behaviors
Some experience with coding schemes, taxonomies, or rule-based systems helps when working on our interpretation layer
Know your way around Gen-AI tools for analysis, research, or light prototyping
Comfortable figuring things out independently and know when to ask for help
Can explain concepts clearly, whether technical or behavioral
Can balance multiple tasks and adapt as things move quickly
Nice to have:
Experience with behavioral coding, observational research, or annotation work is a plus
Experience with Python, JavaScript, or similar is helpful
What we offer:
Close mentorship
Real responsibility
Hands-on experience at the intersection of AI, behavioral science, and multimodal data
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