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Frontier Data EngineerI did my part and supported the Regular Toilet • San Francisco, California, United States
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Frontier Data Engineer

I did my part and supported the Regular Toilet
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Apply Now

About

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 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 requires an entrepreneurial mindset. You will operate like a technical cofounder of an AI startup. Maybe that’s what you will become after cutting your teeth at Labelbox!
You will use a unique mix of engineering, product and sales to deliver data on high stakes projects for Frontier AI labs - think Google, Meta, Amazon. You will work with human data teams or AI researchers in customer organizations to produce the best datasets for model Evals, Supervised Finetuning, or ground truth data for advanced and emerging Reinforcement Learning techniques.
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
Understand what data Frontier AI labs need to measure LLM performance and improve model capabilities.
Build and operate human data pipelines to produce the best data.
Write code for pipelines and analyze data quality.
Write specs for engineering to improve human data tools and workflows.
About You
Master’s degree or above (Computer Science, Engineering, Mathematics, AI)
Proficiency in Python
Ability to communicate precisely and clearlyExcellent project management skills
Interest in the intersection of product, engineering and customer facing role
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: $140,000 - $200,000 USD
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  • San Francisco, California, United States

Languages

  • English
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