Toloka

Chicago
Total Offices: 2
1,024 Total Employees
Year Founded: 2014

Jobs at Toloka

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Recently posted jobs

3 Hours AgoSaved
Remote
United States
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.
One Month AgoSaved
Remote
United States
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.
One Month AgoSaved
Remote
United States
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.
One Month AgoSaved
Remote
United States
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.
One Month AgoSaved
Remote
USA
Artificial Intelligence • Information Technology • Software • Automation
Own and scale delivery of complex AI data programs (LLM/ML products), ensuring scope, quality, timeline, and margin targets. Translate ambiguous problems into technical workstreams, establish governance, drive solution reviews, embed responsible AI practices, manage vendors, and lead cross-functional teams while partnering with BD and executive stakeholders.