[Hiring] AI Benchmark Engineer | Native Language Specialist @LILT (Production)

Role Description

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 in terminal workflows.

We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches.

Note this is a remote, freelance opportunity.

What You’ll Deliver

• Task Engineering: Evaluating Coding Agents.
• Asset Creation: Build realistic task environments using datasets and files in your native language.
• Prompting & Translation: Finding failure points where AI does not work, in your native language.
• Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
• Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus).
• Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.

Qualifications

• 5+ years of industry experience in software engineering.
• Proven track record at leading technology companies and/or graduation from top-tier engineering universities.
• Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency.
• Strong proficiency in Python, standard shell scripting, and data processing.
• Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents.
• Deep technical understanding of multilingual text processing pitfalls, including:
  • Encoding/decoding robustness and Unicode normalization.
  • Locale-dependent conventions (collation, casing, non-Gregorian dates).
  • Text I/O, toolchain interoperability, and safe string operations.
  • Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts.

Benefits

• Your schedule, your rules.
• Get paid quickly and fairly.
• Work on projects that actually matter.
• Be part of something bigger.
• Grow without limits.
• Have fun doing what you love.

What to Consider Before Applying

• Not ideal as a full-time job or primary income source.
• Requires reliable availability and commitment.
• Geographic restrictions may apply.

How to join our expert community

• Submit your application including an updated copy of your CV in English.
• Complete a GenAI assessment to evaluate your skills.
• Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.

Company Description

LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.