HumanSignal enables data science teams to build AI with their company DNA.
San Francisco, California
HumanSignal enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation. Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.
On-site
The AI Data Collector will capture assigned images in various real-world environments, adhering strictly to specific project guidelines regarding objects, scenes, lighting, and angles. Responsibilities also include traveling locally, documenting the process when required, and uploading collected data using provided tools to support AI development.
