Alignment Data Scientist
AE Studio- Full Time
- Junior (1 to 2 years)
Employment Type: Project-based, paid hourly
Labelbox is seeking a Project Lead to spearhead the execution of data labeling and evaluation projects crucial for AI development. This role involves coordinating cross-functional teams to ensure the timely and scalable delivery of high-quality output.
Labelbox is building the essential infrastructure for breakthrough AI models, empowering leading research labs and enterprises. Since 2018, we've pioneered data-centric approaches fundamental to AI development. We offer three integrated solutions for frontier AI:
As part of the Alignerr Services team, you will lead customer project implementation and manage our network of AI experts who provide critical human feedback for AI advancement. Your team will manage over 250,000 monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, enhancing quality for Frontier AI Labs. You'll utilize our AI-powered talent acquisition system and access to over 16 million specialized professionals to rapidly deploy expert teams, helping clients like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data.
We believe data is crucial for achieving artificial general intelligence. As AI models become more sophisticated, the importance of data continues to grow.
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.