NLP Engineer

• Disambiguate word- and phrase-level meaning to build high-quality training data for AI language models
• Apply morphosyntactic and semantic analysis to tag and validate grammar concepts with precision
• Distinguish read-aloud from spontaneous speech to support speech data annotation
• Write grammar explanations that are linguistically rigorous and genuinely useful to learners
• Design vocabulary tasks grounded in real usage patterns, not textbook cliches
• Shape lesson outlines that reflect how English is actually used, informed by corpus and annotation data

English Computational Linguist

• Apply your deep technical expertise to solve complex, real-world problems.
• Collaborate with senior engineers, product managers, and domain experts to understand our customers' needs and challenges.
• Apply your research skills to design, code, and test novel AI/ML solutions.
• Develop, evaluate, and iterate on AI/ML models (including LLMs) to solve a core business problem.
• Analyze existing platforms to identify bottlenecks and propose opportunities for algorithmic or systems-level improvements.
• Gain hands-on experience with our production systems, including CI/CD pipelines (GitHub Actions) and Infrastructure as Code (Terraform).
• Present your findings and project outcomes to the team and key stakeholders at the end of your internship.

NLP Engineer jobs in United States

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English Computational Linguist

PhD Intern – AI/ML/NLP Engineer