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Research Engineer, Curator

🔥 3 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

đźź  Senior

📚 Research Engineer

🦅 H1B Visa Sponsor

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Logo of TransPerfect

TransPerfect

5001 - 10000 employees

đź’Ľ Consulting

📣 Marketing

⚖️ Legal

đź’° $425M Debt Financing - TransPerfect on 2025-04

Consulting • Marketing • Legal

TransPerfect is the world’s largest provider of language and AI services, offering translation, localization, and specialized AI-data capabilities through its DataForce division. The company operates globally (140+ cities, 200+ languages) and combines linguistic expertise with modern AI-data practices to build culturally aware, secure, and scalable data pipelines used to train, test, evaluate, and localize AI systems. TransPerfect primarily serves enterprise clients and connects distributed contributors with flexible opportunities to participate in AI projects.

đź“‹ Description

• Design, curate, and implement complex AI evaluation benchmarks and dataset frameworks to test advanced LLM capabilities and limitations • Conduct experimental research, red teaming, and systematic testing to identify model failure modes, edge cases, and reasoning gaps • Utilize Python, Jupyter/Colab environments, and modern IDEs to write scalable code, process datasets, and automate evaluation pipelines • Collaborate with AI research and engineering teams to translate complex subject-matter concepts into actionable model benchmarks • Document research findings, track codebase and dataset changes via Git, and deliver precise sourcing and evaluation reports.

🎯 Requirements

• Successful completion of a role-specific coding/research assessment and background check • MSc or PhD in a STEM discipline (Computer Science, AI/ML, Statistics, Mathematics, Physics, Computational Sciences, or related field) • Proven background as a Research Engineer, Applied Scientist, ML Engineer, Research Scientist, or AI Researcher • Strong hands-on Python programming skills, with daily fluency in Git, modern IDEs, and Jupyter/Colab environments • Core experience in Machine Learning, LLMs, data analysis, and structured experimental research • Direct experience in AI evaluation, benchmark curation/development, red teaming, or model testing frameworks (preferred) • Strong research mindset paired with exceptional analytical and problem-solving capabilities.

🏖️ Benefits

• Flexible work arrangements

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