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Toloka

Human-in-the-loop data labeling platform

Freelance AI Data Project Manager

Project ManagementConfirmed live in the last 24 hours
ContractRemote in USANo salary listedRemote

About the Job

Requirements

  • Experience leading technical cross-functional teams.
  • Experience managing complex projects, including discovery, decomposition, scope planning, implementation, and adoption.
  • Client-facing experience.
  • Ability to switch quickly to new domains and subjects.
  • Good understanding of large language models and their life cycle.
  • Experience in data generation.
  • Proven experience in the artificial intelligence space, including working with clients and managing teams or projects at scale.

Responsibilities

  • Take ultimate ownership for delivery team projects, including data quality, delivery timelines, unit economics, and stakeholder transparency.
  • Lead a cross-functional delivery team, ensuring projects remain on track and issues and risks are highlighted and resolved proactively.
  • Own delivery team operations, including internal and external communication, activity planning, posting summaries and status updates, and conducting retrospectives.
  • Drive and motivate the team, and seek changes to increase organizational efficiency.
  • Help roll out improvements to the delivery team, focusing on increased adoption and providing feedback for further improvements.

Desired Qualifications

  • A background in consulting, technology, or competitors is a plus.
  • Proactiveness in suggesting process changes is appreciated.

About the Company

Toloka

Human-in-the-loop data labeling platform

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.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$72M
Headquarters
Amsterdam, Netherlands
Founded
2014

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