Company Intro
AtToloka AIwe 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 domainsfrom doctors and lawyers to physicists and engineersand boast one of the most diverse global crowdsrepresenting over100 countries and speaking 40 languages. We are a well-funded startup with an enviable portfolio of clients includingAnthropicAmazonMicrosoft PoolsideRecraft andShopify.
Recently we secured strategic investment led byBezos Expeditionswith participation fromMikhail ParakhinCTO of Shopifyand 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:USAUKthe NetherlandsIsraelCzech RepublicSerbia and more. We are headquartered in Amsterdam.
About the role
Were looking for a hands-onAI Research Leadwho will act as the bridge between our customers and our data generation teams. You will work directly with AI researchers data scientists and product teams at leadingGenAI organizations to understand their needs translate them into rigorous data strategies and design the evaluation training or agentic workflows required to achieve their goals.
This is a hybrid research & solution design role: youll apply your deep expertise inLLMsandagentic systemstoarchitect datasetspromptsevaluation metrics andworkflowsthat power cutting-edge applications.
What Youll Work On
1.Act as a customer-facing AI expert: deeply understand client research goals model behaviors and data needs to advise on best practices in data generation for LLMs leveraging Tolokas platform and ML audit capabilities.
2.Contribute thought leadershipinternally and externally on designing data strategies for LLM training evaluation and agentic workflows including:
3.Manage and grow a team of Solution Engineers- mentor them in technical execution data methodology and client communication to turn research designs into production-grade pipelines.
4.Own project delivery end-to-end ensuring timelines quality and scalability.
5.Work cross-functionallywith Product BizDev and ML teams to support strategic accounts pilot new data products and validate audit methods.
About You
What we can offer
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