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Project Lead, Italian (Contract) - Remote

Posted 2 weeks ago
Project Management
Contract
USA
$20 - $35 USD/hour

Overview

As a Project Lead at Labelbox, you’ll lead the execution of data labeling and evaluation projects that power AI development, coordinating across teams to ensure high-quality output is delivered on time and at scale.

In Short

  • Lead data labeling and evaluation projects for AI development.
  • Coordinate across teams to ensure timely delivery of high-quality outputs.
  • Set up and manage evaluation workflows on the Labelbox platform.
  • Oversee contributor operations to meet production goals.
  • Drive quality control and assurance processes.
  • Monitor progress and troubleshoot issues.
  • Communicate updates to stakeholders.
  • Work in a high-impact environment focused on AI development.
  • Collaborate with industry leaders.
  • Empower team members through clear ownership and metrics.

Requirements

  • 2–4+ years of project management or operations experience.
  • Native proficiency in Italian.
  • Strong organizational, communication, and problem-solving skills.
  • Detail-oriented with a focus on data quality and consistency.
  • Experience with productivity tools and/or data platforms preferred.

Benefits

  • High-impact environment with rapid career growth.
  • Work at the cutting edge of AI development.
  • Rewarding environment for ownership and rapid execution.
  • Continuous learning and growth opportunities.
  • Clear ownership and autonomy in your role.
Labelbox logo

Labelbox

Labelbox is a leading provider of high-quality training data for generative AI, offering a comprehensive platform that combines on-demand labeling services with an industry-leading data labeling platform. Their Boost labeling service leverages a community of highly-educated experts to rapidly generate data for various AI applications. Backed by prominent investors such as SoftBank and Andreessen Horowitz, Labelbox serves Fortune 500 enterprises and top AI labs, ensuring unmatched control and transparency in the data labeling process. The company embraces a hybrid work model, fostering collaboration while supporting remote work.

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