Remote Multilingual AI Benchmark Engineer

LILT

United States

Remote

USD 120,000 - 180,000

Full time

8 days ago
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Job summary

LILT is seeking experienced software engineers to design, build, and validate multilingual benchmarks for evaluating language models. You will craft high-quality, native-language tasks and reference implementations, ensuring benchmarks truly test multilingual handling without English translation crutches.

The role emphasizes remote, freelance collaboration with a strong focus on encoding robustness, locale-sensitive processing, and rigorous QA to maintain benchmark integrity across diverse

Qualifications

  • 5+ years of industry experience in software engineering.
  • Proven track record at leading technology companies or top-tier universities.
  • Native or near-native fluency in the target language with strong English proficiency.
  • Strong Proficiency in Python, shell scripting, and data processing.
  • Extensive experience with Terminal/CLI-based development workflows and coding agents.
  • Deep understanding of multilingual text processing pitfalls (Encoding/Unicode, locale conventions, text I/O).

Responsibilities

  • Design and build unit-under-test benchmarks and tasks for multilingual software challenges.
  • Create high-signal assets in the native language to measure multilingual handling.
  • Identify failure points in prompts and translations in the native language.
  • Develop reference implementations and robust verifier scripts.
  • Calibrate task difficulty across model tiers using standard Terminal-Bench configurations.
  • Participate in a 4-layer QA process to ensure fairness and accuracy.

Skills

Python
Shell scripting
Data processing
Terminal/CLI workflows
Multilingual text processing
Unicode handling

Job description

LILT is seeking experienced software engineers to design, build, and validate multilingual benchmarks for evaluating language models. You will craft high-quality, native-language tasks and reference implementations, ensuring benchmarks truly test multilingual handling without English translation crutches.

The role emphasizes remote, freelance collaboration with a strong focus on encoding robustness, locale-sensitive processing, and rigorous QA to maintain benchmark integrity across diverse

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