Student Assistant (Applied Multimodal ML)

Antler; København; On-site; DKK 165,000 - 248,000; Full time

Job summary

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

You will prototype solutions in Python/JavaScript, automate data processing tasks, and contribute to tooling to speed up experiments and ensure reproducibility in a fast-paced startup environment.

Qualifications

• Proficient in scripting for data processing; able to prototype solutions quickly.
• Educational background in CS/DS/ML (Master’s preferred).
• Self-directed and resourceful; able to work independently and solve problems.
• Strong written and spoken communication skills in English.
• Thrives in a fast-paced environment and can juggle multiple tasks.

Responsibilities

• Own a scoped project that upgrades how we collect, validate, or evaluate behavioral-signal data.
• Create a ‘gold slice’ benchmark to track improvements on hard ML cases.
• Improve consistency and auditability so results are trustworthy and repeatable.
• Ship practical tooling: contribute to internal scripts/utilities for experiments and artifact management.

Skills

Python

JavaScript

Data processing

Prototyping

Communication

Education

Bachelor's/Master’s in CS/DS/ML

Tools

Git

Job description

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

At Interhuman AI, we’re building social intelligence for AI. Our mission is to enable machines to understand how humans actually behave – not just what we say. We’re pioneering a new class of multimodal AI that reads facial expressions, voice, and body language to interpret social signals, delivering AI interactions that feel truly adaptive and emotionally aware. We’re a small but ambitious team (backed by top investors) with a working prototype, early paying customers, and a vision to become essential infrastructure in the future of conversational AI. We value curiosity, high standards, and collaboration – and we also believe in keeping things fun and supportive.

For more information or questions please contact us at [e-mail]