Labelbox is the data factory for generative AI, providing the highest quality training data for frontier and task-specific models. Labelbox’s comprehensive platform combines on-demand labeling services with the industry-leading data labeling platform. The Boost labeling service is powered by the Alignerr community of highly-educated experts, who span all major languages and a diverse range of advanced subjects. They are available on-demand to rapidly generate new data for supervised fine-tuning, RLHF, and more. Labelbox’s software-first approach delivers unmatched control and transparency into the labeling process, leading to the generation of high-quality, consistent data at scale.
Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.
About the Role
This role is based in our dedicated tech hub in San Francisco, CA. We use a hybrid work model of 2 days in the office per week.
Your Day to Day
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Improve customers' experience by providing technical support, sharing best practices, leading technical discussion, discovering use cases, delivering product demos and proof of concept to show the value of Labelbox.
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Build trust and establish relationships with the customer teams, helping them realize value from Labelbox, and working backwards from optimal customer experience.
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Engage with Product teams to guide them through customer requests and provide input to the roadmap.
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Become an expert in Labelbox, and related partner products, as customers will seek your advice and expertise.
About You
- Technical Bachelor's degree (Computer Science, Engineering, Mathematics).
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4+ years of experience in a customer facing technical role.
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Proficiency in Python.
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Experience with Hugging Face or AI model training, data warehouses, APIs.
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Experience using Cloud Infrastructure with GCP, AWS, or Azure.
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Understanding of the language and technical stacks of ML/infra engineers and data scientists.
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Curiosity and a commitment to lifelong learning as technical stacks evolve continuously.
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Strong presentation and communication skills, both verbal and writing,
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Entrepreneurial and problem-solving mindset.
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 below. 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.
Annual base salary range
$130,000—$150,000 USD
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.
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