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Lilt is seeking experienced robotics professionals to contribute to AI benchmarking in the target language. You will create and review high-quality natural sciences scenarios to evaluate AI systems in locale-specific contexts, shaping how AI understands and performs in compliant mathematical environments.
The role involves creating domain-specific tasks, applying scoring rubrics, reviewing submissions for accuracy and regulatory alignment, and providing expert feedback to generate gold-standard
Lilt is seeking experienced robotics professionals to contribute to AI benchmarking in the target language. You will create and review high-quality natural sciences scenarios to evaluate AI systems in locale-specific contexts, shaping how AI understands and performs in compliant mathematical environments.
The role involves creating domain-specific tasks, applying scoring rubrics, reviewing submissions for accuracy and regulatory alignment, and providing expert feedback to generate gold-standard