Lilt

AI-powered translation platform combining human expertise with adaptive language technology for enterprise localization.

AI Training Translation & Localization
New (0 reviews)
Emeryville, CA, USA HQ
150 employees
2015 founded

What is Lilt?

Lilt is an enterprise AI translation and localization company founded in 2015 by researchers who met while working on Google Translate at Stanford and Berkeley. Headquartered in San Francisco with offices in Berlin, Dublin, Indianapolis, Washington D.C., and London, Lilt combines human expertise with advanced AI to create adaptive language technologies that learn and evolve in real time. The platform supports over 100 languages and serves global enterprises and governments, enabling them to scale multilingual content production efficiently. Lilt's human-in-the-loop system pairs domain-specific AI models with a network of professional linguists to deliver brand-consistent localization, translation verification, and multilingual model development. The company offers roles such as AI Content Experts, linguists, translators, voice talents, and voice coaches across dozens of language pairs, with many positions being fully remote and freelance-based.

Mission & values

Modernize enterprise translation with adaptive AI plus a global linguist network — process content in 70+ languages with both human-in-the-loop and fully agentic translation.

Qualifications

For linguist and translator roles, candidates typically need native-level fluency in the target language and a strong command of English for guidelines and collaboration. A minimum of two years of translation experience and/or a degree in Linguistics or Translation is often required. For AI Content Expert roles, experience as a reviewer, annotator, or evaluator is preferred, along with the ability to analyze text, audio, and video content with high attention to detail. All roles require the ability to consistently follow detailed guidelines and provide clear, constructive feedback. Voice talent positions require a professional or home studio setup that meets technical quality standards. Specialized roles may require domain expertise in areas such as legal, medical, or technical fields. Familiarity with AI tools and machine translation is beneficial but not always required.

Leadership

S

Spence Green

Co-Founder & CEO

Former Google Translate research intern and Northrop Grumman software engineer; co-founded Lilt in 2015. Stanford CS background.

J

John DeNero

Co-Founder & Chief Scientist

Former senior research scientist on Google Translate and a teaching professor at UC Berkeley.

Hiring process

  1. 1

    Apply on lilt.com/careers

    Submit your application for an open role (full-time staff or linguist network).

    About 1 day

  2. 2

    Recruiter screen

    Initial conversation about the role and background.

    About 5 days

  3. 3

    Hiring manager interview

    Deep dive on the role.

    About 5 days

  4. 4

    Team / language-pair assessment

    Multi-round interviews for FT staff; linguist tests for the freelance network.

    About 10 days

  5. 5

    Offer

    Compensation discussion and onboarding.

    About 3 days

Funding

StageSeries C+
Total raised$92,500,000
Investors
Four Rivers Sorenson Capital Sequoia Capital Intel Capital Redpoint Ventures XSeed Capital Zetta Venture Partners

Awards & recognition

  • $55M Series C ($92.5M total raised) — Four Rivers led · 2022

    TechCrunch / MultiLingual

  • Customers include Intel, Emerson, Juniper Networks, and Orca Security

    Lilt

Company information

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