Computational Linguist

About the Role

We are seeking a Computational Linguist to join our Conversational AI team. You will design and execute research methods and tooling that evaluate and enhance our AI capabilities in Speech & Natural Language Processing across chatbots, voice bots, knowledge systems, and agent assistive technologies. This role combines deep expertise in linguistic analysis with practical application to AI/ML systems spanning multiple languages. Your work will directly impact how we develop, assess, and optimize our conversational AI products and services.

This is an exciting opportunity to shape world-class language-driven products and drive improvements in how we measure and deliver conversational AI success across diverse linguistic contexts.

Key Responsibilities

• Design, develop, and maintain comprehensive evaluation tooling while translating project goals into concrete execution plansincluding data requirements and curation, evaluation methodologies, benchmarking frameworks, and automated testing pipelines to support model assessment workflows
• Evaluate AI model performance through benchmark analysis and user feedback, conducting comprehensive error analysis to derive actionable insights and deliverrigorous documentation to project stakeholders
• Validate analysis tooling through statistical testing, performance benchmarking, and output verification to ensure reproducible results and high-confidence insights for model evaluation
• Collaborate effectively with feature teams to understand evaluation requirements, align on priorities, and build sustainable AI assessment capabilities that enable and empower feature teams for continuous improvement
• Balance multiple concurrent projects across diverse languages and modalities, maintaining clear visibility on timelines and proactively communicating progress and risks to stakeholders
• Foster respectful professional relationships, be a thoughtful steward oforganizational resources, and maintain strict adherence to data ethics, security, and privacy standards

Required Qualifications

• Bachelors degree in Computational Linguistics, Human Language Technology, Data Science, Computer Science, or related field
• 1-2 years experience in

  data curation, designing and implementing evaluation methodologies and benchmarking frameworks

• Strong skills in statistical and error analysis for AI model performance assessment
• Proficiency in

  Python (pandas, NumPy, scikit-learn)

  for data manipulation, analysis, and evaluation tooling.
• Experience applying LLMs to computational linguistics tasks
• Native or bilingual English proficiency with excellent written and verbal communication skills; able to present technical findings to diverse audiences
• Comfortable in fast-paced, collaborative, and dynamic environments

Preferred Background

• Masters or advanced degree in Computational Linguistics, Human Language Technology, Data Science, Computer Science, or related field
• Familiarity with conversational AI applications such as chatbots, virtual agents, knowledge search, summarization, or human-assistive copilots
• Experience with testing pipelines and process automation, and CI/CD workflows
• Knowledge of additional high-demand commercial languages (e.g., Spanish, French, German, Portuguese, Dutch, Italian, Japanese, Chinese, Korean, Arabic)
• Experience working in Agile environments and proficiency with collaboration tools (e.g., Jira, Confluence, GitHub)