As a Research Student at LILT, you'll evaluate AI models for multilingual tasks and work with leading global labs. Opportunity for publishing and innovative research in AI.
Responsibilities
Evaluate & Benchmark: Run rigorous evaluations on frontier LLMs and autonomous agents across diverse tasks.
Data Engineering: Create or modify benchmark data to test the reasoning and linguistic limits of modern AI.
Experimental Research: Design and run experiments to identify "model-breaking points" and interpret the resulting data.
Requirements
Currently enrolled at TU Berlin majoring in Computer Science (Bachelor/Master) or a related field
Solid understanding of LLMs, natural language processing, or machine learning
Highly proficient in Python, Bash, and git
Appetite to quickly understand and incorporate new methodologies and models in a rapidly changing research landscape
Strong drive to ship customer projects, sometimes on tight deadlines, to high quality
Proficient in English
Preferred: Proficient in one or more non-English languages
Benefits
Work directly with models and teams from frontier labs like Google or Anthropic
Opportunity to publish papers in top-tier AI/ML conferences
Contribute to industry-standard open-source benchmarks
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