Toloka
This role involves owning Toloka's end-to-end fine-tuning, reinforcement learning, and evaluation stack, bridging applied research and product engineering. The position focuses on spearheading greenfield post-training initiatives, transforming complex ML experiments into scalable platform features, and occasionally authoring technical write-ups. The role requires close collaboration with platform engineers to ensure training and evaluation jobs are callable from existing developer workflows.
Headquarters
Amsterdam, North Holland, Netherlands
Company Size
51-200 employees
Founded
2014
Toloka is a data solutions platform that provides training data for AI agents and large language models. It blends human expertise with technology to produce high-quality labeled data, evaluation datasets, and safety-focused resources that accelerate AI development. The offering covers agentic skills, coding-related data, and AI safety, delivered through scalable workflows with strong quality control. Developers and AI teams rely on Toloka for fast, reliable data at scale to train, test, and guard their AI systems.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Toloka.
Toloka didn’t post a salary, so this is our estimate from similar listings.
24% below the average for this role