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. Unlike emotion AI, we focus on observable behaviors and their meaning in context.

We’re hiring a Student Assistant (15 hours/week) in Copenhagen to work closely with our AI engineering team on the practical foundations that make our models and evaluations improve week by week. This is a paid, hands-on role with real ownership and visible impact.

What you’ll do

• Own a scoped project that upgrades how we collect, validate, or evaluate behavioral-signal data: something that makes the team faster and the product better.
• Create a ‘gold slice’ benchmark (small but high-signal) to track improvements on the hard machine learning cases that matter.
• Improve consistency and auditability so results are trustworthy and repeatable, not “works on my machine.”
• Ship practical tooling: contribute to internal scripts/utilities that make engineers faster: running experiments, comparing results, and keeping artifacts organized.

Who we’re looking for

• Technical proficiency: You're comfortable with scripting (Python, JavaScript, or similar) and can quickly prototype solutions to automate data processing tasks. You're handy with code and can turn ideas into working scripts efficiently.
• Educational background: You're currently pursuing or have completed a degree in Computer Science, Data Science, Machine Learning, or a related technical field (Master’s preferred).
• Self-directed and resourceful: You're comfortable figuring things out independently and don't need constant direction. When you encounter obstacles, you find creative solutions and know when to ask for help.
• Strong communication skills: You can explain technical concepts clearly in writing and speech.
• Thrive in a fast paced environment: You are good at prioritizing and balancing multiple tasks, and flexible when changes occur.

What we offer

We understand the importance of flexibility and work-life balance. This position requires a minimum of 15 hours of work per week, with the possibility of more if you're interested. This position is ideal for students who wants to gain practical experience in AI/ML data operations at an early-stage startup, is excited about the intersection of AI, human behavior, and social intelligence, and thrives in a collaborative environment where their input directly shapes product development.

Who we are