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Computational Linguist and Data Annotation Lead

Job Description - Computational Linguist and Data Annotation Lead

About Wispr

Wispr Flow is making it as effortless to interact with your devices as talking to a close friend.

Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.

In 2026, in addition to dictation, we're focused on building native actions — an agentic framework that understands you, and works reliably.

We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.

We're grown our revenue +150% every quarter for the last 4 quarters, and have raised $81M from Tier 1 VC firms and other well-known angels.

About the Role

Wispr Flow is looking for a computational linguist to lead our work in defining customization and personalization for Wispr Flow's voice dictation outputs and style. You will work closely with ML scientists to define the different preferences users might have, from casual English to genZ messaging styles to polished academic writing. You will coordinate a team of external experts to annotate our large datasets and analyze data to determine variations in style.

What are we looking for?

  • Linguistics PhD who can mentor, manage, and give feedback to expert labelers

  • Self-awareness about stylistic choices and why different people prefer different things

  • Multilingual speaker

  • Meticulous attention to detail

  • Eagerness to learn and build familiarity with LLM development

  • Optionally: experience in professional editing, teaching, or translation

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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