Lead ML Engineer
Machinify- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Labelbox is seeking a Project Lead to spearhead data labeling and evaluation projects that are fundamental to AI development. You will be responsible for coordinating across teams to ensure the delivery of high-quality output on time and at scale, contributing directly to the advancement of AI models for leading research labs and enterprises.
Labelbox is building the critical infrastructure that powers breakthrough AI models. Since 2018, we have been pioneers in data-centric approaches essential for AI development. We offer three integrated solutions for frontier AI development:
As a Project Lead, you will:
As part of the Alignerr Services team, you will lead customer project implementations and manage our network of AI experts delivering crucial human feedback for AI advancement. Your team will oversee significant monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, directly improving quality for Frontier AI Labs. You will utilize our AI-powered talent acquisition system and access to millions of specialized professionals to rapidly build and deploy expert teams, helping clients like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data.
We believe data will remain crucial in achieving artificial general intelligence.
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.