LILT AI pairs a machine-translation platform with a growing AI data business, running Python, PyTorch, Transformers, LangChain and LlamaIndex on GCP and AWS alongside SuperAnnotate for labeling. Hiring is accelerating and skews toward data and engineering roles across 25 countries, with job posts centered on domain-specific AI benchmarks for retail, wholesale trade and real estate, which points to expert-built evaluation datasets as a major growth line.
Notable leadership hires: People Lead
LILT AI, founded in 2015 and headquartered in San Francisco, provides translation services and AI data set creation, including human expert evaluations of AI models. It sells to businesses and government organizations. The company has 201–500 employees and recruits globally, with hiring spanning the Americas, Europe, Asia and the Middle East. Its tooling covers both localization workflows (SDL Trados Studio, memoQ, FrameMaker, Adobe Experience Manager) and ML development (PyTorch, Transformers, RAG frameworks), with compliance managed through Drata, Vanta and Wiz.
LILT AI uses Python, PyTorch, Transformers, LangChain, LlamaIndex, GCP, AWS, BigQuery, Datadog, Salesforce and SuperAnnotate, plus localization tools like SDL Trados Studio and memoQ.
Yes. Hiring is accelerating, led by data and engineering roles, with additional openings in sales, product, ops and research, mostly at senior level.
LILT AI hires across 25 countries, including the United States, Canada, Mexico, Brazil, Germany, India, Japan, the Philippines, the UK and the UAE.
Other companies in the same industry, closest in size
LILT AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
