We believe the quality of AI is determined by the quality of its data. AnnotRift exists to ensure every AI system is built on a foundation of excellence.
AnnotRift was founded in 2021 by a team of ML researchers who experienced firsthand the bottleneck of data quality in AI development. After spending months building internal annotation tools at a leading AI lab, they realized the industry needed a dedicated platform that combined expert human judgment with scalable infrastructure.
Today, AnnotRift powers training data pipelines for over 200 enterprise AI teams across healthcare, autonomous driving, financial services, and frontier AI research. Our global network of 1.5 million domain experts delivers billions of high-quality labels annually.
We're backed by $180M in funding from Sequoia Capital, Andreessen Horowitz, and Y Combinator, and we're headquartered in San Francisco with offices in London, Singapore, and Nairobi.
These principles guide every decision we make — from how we build our platform to how we treat our annotator community.
We never compromise on data quality. Every label, every preference ranking, every evaluation is held to the highest standard because your models depend on it.
AI serves everyone, so our data must represent everyone. We invest in diverse annotator communities across 40+ countries and 80+ languages.
Our annotators are skilled professionals, not gig workers. We pay above-market rates, provide benefits, and invest in ongoing training and career development.
We publish our methodology, contribute to open-source tools, and collaborate with academic institutions to advance the science of data quality.
We're transparent about our processes, pricing, and limitations. Our customers trust us with their most sensitive data because we've earned that trust.
We move fast because AI development demands it — but never at the expense of quality. Our infrastructure enables both speed and precision.
Experienced leaders from AI research, enterprise software, and global operations.
Three ML researchers leave a leading AI lab to solve the data quality bottleneck. Accepted into Y Combinator W21 batch.
Led by Sequoia Capital. Launched data labeling platform and grew to 50 enterprise customers. Opened Nairobi operations center.
Launched RLHF data services as demand for alignment data exploded. Grew annotator network to 500K. Published first research papers.
Led by Andreessen Horowitz. Launched evaluation and synthetic data products. Opened London and Singapore offices. 150+ enterprise customers.
Reached 1.5M annotators across 40+ countries. Achieved SOC 2, HIPAA, and ISO 27001 certifications. 200+ enterprise customers.
Powering training data for the world's leading AI organizations. 2.8B+ labels delivered. Expanding into government and defense sectors.
Our annotators are skilled professionals, not gig workers. We invest in their success because quality data requires quality people.
We pay 2-3x local market rates for annotation work. Our annotators earn a living wage with predictable income and timely payments.
Comprehensive onboarding, ongoing skill development, and career advancement pathways. Many annotators progress to QA and team lead roles.
Health insurance, mental health support, flexible scheduling, and community programs. We treat our workforce with dignity and respect.
We're hiring across engineering, research, operations, and sales. Come build something meaningful.