Field Solutions Engineer

At Labelbox, we are at the forefront of building critical infrastructure that drives innovative AI models for prominent research institutions and enterprises. Since our inception in 2018, we've been leading the charge in data-centric methods that are vital for AI progression. We offer integrated solutions for advanced AI development, including our Enterprise Platform & Tools, specialized Frontier Data Labeling Services, and an Expert Marketplace focused on connecting AI teams with skilled annotators and domain experts. We cultivate a high-impact environment akin to a dynamic startup where the focus is on tangible results rather than strictly adhering to processes. You'll have the opportunity for rapid career growth tied to your contributions, while working alongside some of the industry’s brightest minds. In this role, you will embody an entrepreneurial spirit, functioning much like a technical co-founder within an AI startup. You will leverage a distinct blend of engineering, product insight, and sales skills to deliver on vital projects for leading AI labs. Your work will directly shape the quality and efficiency of AI models through superior data practices. As part of our Alignerr Services team, you'll lead customer project implementations and manage networks of elite AI experts. You'll utilize our AI-driven talent acquisition system to swiftly assemble expert teams that drive results for our clients, including industry giants like Google and ElevenLabs. At Labelbox, we prioritize transparency in salary discussions, ensuring pay equity within the organization. The anticipated annual base salary for candidates based in the United States ranges from $140,000 to $200,000, exclusive of any potential equity or additional benefits. We encourage you to join us in our mission to lay the groundwork for transformative AI technologies as we believe data's importance will only amplify in the quest for artificial general intelligence. Together, we can create groundbreaking products and services that facilitate the next wave of AI advancements.