
Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.

Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
What they do: Global AI data and platform company providing dataset generation, RLHF/human-in-the-loop pipelines, and a marketplace to accelerate model-to-production
Founded / HQ: 2020; Redmond, Washington
Team size: Over 3,000 employees (company snapshot lists 3,126)
Recent funding: $60M Series A (announced June 24, 2025), lead investor Granite Asia
AI training data, model evaluation and deployment workflows for enterprises and large-scale models
2020
Software Development
$60 million
Company announcement of Series A to scale AI infrastructure and product roadmap
“Led by Granite Asia (Series A)”
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Review copy and identify issues with tone and voice, facts or grammar, formatting, punctuation, spelling, and messaging.
Rate and provide clear in-writing feedback for each deliverable reviewed.
Review and sign-off high visibility deliverables prior to publishing.
Provide quality localization for last-minute or confidential requests.
Provide feedback and informed suggestions about terminology or brands.
Review language-specific guidelines and provide market/cultural insight.
Review copy in context, such as within an email, placed on art or within a webpage, for example
Perform full Quality Assurance (QA) on the different platforms, and testing environments (including Production), as required by each Project
Report and file bugs
Assist with User Acceptance Testing (UAT) for new tools or features being rolled out.
Review incoming tryouts for represented language.
Assist with training of new Testers joining language team.
Assist with ad-hoc projects as requested by Client.
Must be on site at Apple location during defined work hours.
Along with the onsite tester responsibilities:
Linguistic tasks
Coordination of the linguistic team, like for example:
Reviews copy and give feedback to testers; communicates feedback received from client
Supports testers in understanding corrections resulting from the arbitration process
Acts as liaison for terminology, style issues, product features & questions
Supports the onboarding of new testers
Identifies linguistic-specific training needs for the language; creates, maintains, and delivers the linguistic training program
Quality management planning and execution
Client engagement
Linguistic assets management.