Data labeling platform for AI teams
HumanSignal builds Label Studio, the leading open-source data labeling tool, and enterprise services for high-quality dataset creation and model evaluation. It serves AI labs and enterprises needing multimodal data annotation, human-in-the-loop workflows, and scalable data operations to train differentiated AI models. Over 350,000 users have labeled millions of data points with it.
Own end-to-end execution of multi-million-dollar AI data programs, managing distributed expert workforces and ensuring high-quality data delivery for frontier AI research teams. Requires 2-4+ years experience, strong analytical skills, and SQL/Python proficiency.
Design, develop, and deliver training materials to onboard and upskill expert data annotation contributors for AI projects. Ensure quality standards through data-driven interventions and collaboration with operations and product teams.
Manage end-to-end delivery of complex multimodal AI data programs, coordinating expert workforces and ensuring quality and timelines. Requires 2+ years operations experience, SQL skills, and a bachelor's in an analytics field.
Manage complex enterprise delivery programs for an AI data platform. Translate customer goals into plans, own end-to-end delivery health, and drive cross-functional execution with Product, Engineering, and GTM teams.
Lead and manage Strategic Project Leads delivering high-stakes AI data annotation and evaluation projects. Own throughput, quality, and customer satisfaction while coaching teams and improving operational systems.
Creates short-form video content for AI training by filming clips based on creative briefs using smartphone or camera. Requires on-camera confidence, self-motivation, and ability to meet deadlines independently; no prior experience needed.
Build end-to-end features for AI data labeling platform using React/TypeScript frontend and Python/Django backend. Own product decisions, APIs, performance, and collaborate with PM/Design on complex workflows. Requires senior full-stack experience and strong product sense.
Senior Frontend Engineer builds and maintains performant, accessible React/TypeScript UIs for AI data labeling, review, and evaluation workflows. Owns product outcomes, prototypes solutions, collaborates with PM/Design, and engages with open-source community.
Designs and operates scalable backend services in Python/Django for AI data labeling and evaluation workflows. Partners with PM/Design/FE to own outcomes, evolve APIs, ensure reliability, and implement secure multi-tenant patterns. Requires senior-level Python/Django experience and strong product sense.