Freelance AI Data Project Manager
Toloka
Freelance AI Data Project Manager
Toloka
Human-in-the-loop data labeling platform
Company Intro
At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, poolside, Recraft, and Shopify.
Recently, we secured strategic investment led by Bezos Expeditions with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more. We are headquartered in Amsterdam.
About position
We're seeking a Freelance AI Data Project Manager who will join our Delivery team and will build, drive and maintain our client’s solutions. Joining us in this role means you will lead a virtual cross-functional team managing successful project implementation. This involves both client communication and internal coordination.
The team consists of talented engineers of different kinds, supply managers and other departments on an ‘as needed’ basis. This is a key role for us to ensure we deliver the best possible experience for our clients and enable us to constantly grow our business.
Example Projects
Key Responsibilities
Qualifications
What we can offer
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Toloka provides data services with human-in-the-loop for AI development. It connects AI developers with a global pool of over 200,000 contributors across more than 100 countries to perform microtasks like data annotation, content moderation, and sentiment analysis. The platform routes tasks to contributors, collects verified results, and offers specialized services such as dataset creation, model evaluation, and safety testing including red-teaming. Its goal is to deliver reliable, human-verified training data and testing environments that help AI developers build, evaluate, and safeguard advanced models.
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