We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases…
Experience
Experience: 1+ years of industry experience in software engineering.; Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities.; Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
Selection process
Apply on the official LILT page. The listing does not describe further selection steps on OpenJob; check the official page.
📌 AI Benchmark Engineer | Native Language Specialist – French (Canada) – Remote
🏢 Lilt
📍 Canada
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