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Lilt

AI-powered multilingual translation platform for enterprises

AI Benchmark Engineer - Native Language Specialist

Natural Language Processing & LLMsConfirmed live in the last 24 hours
ContractRemote in BelgiumNo salary listed

About the Job

Requirements

  • At least 1 year of industry experience in software engineering.
  • A proven track record at leading technology companies and/or graduation from top-tier engineering universities.
  • Native or near-native fluency in the target language, including a deep understanding of its grammar, register, and phrasing rules, and high English proficiency.
  • Strong proficiency in Python, standard shell scripting, and data processing.
  • Extensive experience with Terminal/CLI-based development workflows and working familiarity with coding agents.
  • Deep technical understanding of multilingual text-processing pitfalls, including encoding/decoding robustness and Unicode normalization; locale-dependent conventions such as collation, casing, and non-Gregorian dates; text input/output, toolchain interoperability, and safe string operations; and, for specific languages, bidirectional/RTL handling, font fallbacks, and rendering/typography in user interfaces or artifacts.
  • Reliable availability and commitment to accepted tasks, which require quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15–20 hours per week.
  • Applicants must submit an updated copy of their CV in English and complete a GenAI assessment before onboarding.

Responsibilities

  • Design, build, and validate benchmarks that test multilingual software challenges and robustness across prompt-language effects, non-English data processing, and locale/encoding edge cases in terminal workflows.
  • Evaluate coding agents through task engineering.
  • Build realistic task environments using datasets and files in the target native language, keeping assets in that language to test multilingual handling.
  • Find failure points in AI performance in the target language through prompting and translation.
  • Support development of robust reference implementations and write reliable, deterministic verifier scripts, using rubric-based judging only when strictly necessary.
  • Analyze execution logs and calibrate task difficulty from Easy to Very Hard using standard Terminal-Bench run configurations against different model tiers.
  • Participate in a four-layer human quality-control process covering creation, human review, calibration review, and audit, alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.

About the Company

Lilt

AI-powered multilingual translation platform for enterprises

Lilt provides an AI-powered translation platform for enterprises to manage multilingual content. It uses a Contextual AI Engine with a human-in-the-loop: AI translations are reviewed by professional linguists, and feedback helps the model improve. It supports 70+ languages and formats and integrates with 100+ enterprise systems, sold as a subscription SaaS (plus direct translation services). Its goal is to speed up high-volume translation while ensuring accuracy and consistency across global content.

Company size
501-1,000
Company stage
Series C
Total funding
$95.6M
Headquarters
San Francisco, CA
Founded
2015

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