Labelbox is looking to deliver high-quality training data for frontier and task-specific models by building and operating human data pipelines.
Requirements
- Proficiency in Python
- Master’s degree or above (Computer Science, Engineering, Mathematics, AI)
- Experience with data pipelines
- Experience with data quality analysis
- Experience with writing specs for engineering
Responsibilities
- 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.
Other
- Excellent project management skills
- Ability to communicate precisely and clearly
- Interest in the intersection of product, engineering and customer facing role
- Master’s degree or above
- Annual base salary range: $140,000—$200,000 USD
- 2 days in the office per week in San Francisco, CA
