Toloka
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Recently posted jobs
Artificial Intelligence • Information Technology • Software • Automation
Own product positioning, messaging, segmentation, go-to-market strategy, competitive intelligence, customer proof, sales enablement, and thought leadership for Toloka’s enterprise AI data solutions and self-service platform. Translate complex AI and machine learning capabilities into differentiated customer value while partnering with product, sales, marketing, and customers.
Artificial Intelligence • Information Technology • Software • Automation
Lead client AI data projects from implementation through delivery, owning quality, timelines, unit economics, stakeholder transparency, and team coordination. Manage virtual cross-functional teams of engineers, supply managers, and other specialists; oversee communications, planning, status reporting, retrospectives, risk resolution, and process improvements. Projects include supervised fine-tuning data generation, LLM evaluation, and red-teaming initiatives.
Artificial Intelligence • Information Technology • Software • Automation
Design and deliver end-to-end data labeling and ML pipelines using Toloka's platform. Act as primary technical contact for clients, lead discovery and solution design, run pilots, monitor KPIs, troubleshoot delivery, and optimize quality, cost, and scalability while coordinating internal teams and stakeholders.
Artificial Intelligence • Information Technology • Software • Automation
Serve as the senior client-facing technical lead to design and build data-generation, labeling, and evaluation pipelines for LLMs. Partner with executive stakeholders, diagnose data needs, architect multi-stage automated solutions (RAG, agentic workflows, synthetic data), run experiments, deliver production-ready pipelines, mentor engineers, and own delivery timelines and commercial outcomes.
Artificial Intelligence • Information Technology • Software • Automation
Design and deliver end-to-end data labeling and ML pipelines on Toloka's platform. Serve as primary technical contact, run pilots, configure workflows and quality controls, monitor KPIs, troubleshoot delivery, and advise customers on data, evaluation, and model-training best practices.
