AI Benchmark Engineer | Native Language Specialist - French (France) - Remote

LILT (Production) · France (Remote)Remotosenior

En corto

▸Ingeniero de pruebas de IA que crea desafíos reales en francés para evaluar modelos multilingües.
▸Día a día: construir entornos de tareas, scripts de verificación y analizar fallos en entornos de terminal con datos en francés.
▸Lo destacado: el trabajo se centra en pruebas auténticas sin traducción al inglés, evaluando verdadera robustez multilingüe.

High English proficiency

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓5+ años de experiencia en ingeniería de software.
✓Fluidez nativa o casi nativa en francés con dominio gramatical y de registro.
✓Excelente dominio del inglés técnico.
✓Experiencia sólida con CLI/terminal y scripting estándar.
✓Conocimiento profundo de procesamiento multilingüe: codificación, locales, Unicode, texto bidireccional.
✓Capacidad para crear pruebas deterministas y verificar resultados con precisión.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonShell scriptingData processingTerminal/CLI workflowsCoding agentsUnicode normalizationLocale-dependent conventionsText I/OToolchain interoperabilitySafe string operations

¿A quién escribirle en LILT (Production)?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About The Opportunity 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. Crucially, these assets must remain in the target language to genuinely measure multilingual handling. 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 Experience: 5+ 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. Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing. Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents. Domain Expertise: 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. (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts. Why Collaborate with Lilt? Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. Work on projects that actually matter . Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. Have fun doing what you love. 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.

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