Quality Analyst Project Coordinator(French)
SamaFull Time
Junior (1 to 2 years)
Candidates should have 2-4+ years of project management or operations experience and possess strong organizational, communication, and problem-solving skills. A detail-oriented approach with a focus on data quality and consistency is required, along with experience using productivity tools and/or data platforms, and familiarity with ML/AI data workflows is a plus.
The Technical Project Coordinator will lead the execution of data labeling and evaluation projects, coordinate across teams to ensure high-quality output is delivered on time and at scale, and manage the elite network of AI experts. Responsibilities include setting up and managing evaluation workflows on the Labelbox platform, overseeing contributor operations, driving quality control and assurance processes, monitoring progress, troubleshooting issues, and communicating updates to stakeholders.
Provides data labeling solutions for AI
Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling solutions that streamline workflows.