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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. Unlike emotion AI, we focus on observable behaviors and their meaning in context. We're looking for motivated interns to join our AI and data team in Copenhagen. This is a hands-on role where you'll work directly with our AI engineers on the data infrastructure that powers our social intelligence API.
Job Responsibility:
Dataset creation and management: Support the creation of new training datasets by identifying relevant sources, structuring data pipelines, and documenting dataset specifications
Pipeline optimization: Help refine our dataset filtering pipeline by testing different parameters, identifying edge cases, and suggesting improvements
Source investigation: Research and evaluate new potential data sources for behavioral signals
Quality assurance: Conduct quality checks on processed datasets, flag anomalies or inconsistencies, and help establish best practices for data validation
Requirements:
Comfortable with scripting (Python, JavaScript, or similar) and can quickly prototype solutions to automate data processing tasks
Currently pursuing or have completed a degree in Computer Science, Data Science, Machine Learning, or a related technical field
Some practical experience working with optimization problems under constraints, whether in machine learning, data processing, or related fields
Comfortable figuring things out independently and don't need constant direction
Can explain technical concepts clearly in writing and speech
Good at prioritizing and balancing multiple tasks, and flexible when changes occur
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