Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google’s AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
As a Machine Learning Support Engineer, you’ll act as the frontline of customer love, utilizing live chat and internal resources to resolve product issues and provide proactive guidance to customers.
As Labelbox continues to grow, we often have multiple openings for this role. Should your skills and experience align with our requirements and timeline, our team will reach out to you as soon as opportunities become available on this team.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is $70,000 – $110,000. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.
We’re committed to excellence and understand the importance of bringing our talented people together. While we continue to embrace remote work, we’ve transitioned to a Hub-Centric Remote Model with a focus on nurturing collaboration and connection within our dedicated hubs in the San Francisco Bay Area, New York City Metropolitan Area, Miami-Fort Lauderdale Area, and Warsaw, Poland. We encourage asynchronous communication, autonomy, and ownership of your tasks, with the added convenience of hub-based gatherings.
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