Labelbox
Labelbox

51-200 employees

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information-technology-and-services
data-labeling-software
information-technology
services
software
About Labelbox

Labelbox’s training data platform is engineered to help you improve your training data iteration loop. It is designed around three core pillars: the ability to Annotate data, Diagnose model performance, and Prioritize based on your results. With Labelbox, you can:- Decrease annotation costs by 50-80% by leveraging the latest in labeling automation, model-error analysis and active learning- Iterate 3x faster on your AI data to build more performant models- Collaborate more efficiently between data scientists, labelers and domain experts

2 months ago

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New York City - Remote
Full-time
Mid Level
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Description
  • Lead Backend Engineer at Alignerr focusing on AI tooling and data pipelines.

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Requirements
  • Native or fluent English speaker
  • Full-stack developer experience with a strong systems programming background
  • 5+ years of professional experience writing production Python backend services
  • Mastery of modern web frameworks and strict type enforcement patterns
  • Experience architecting robust APIs (REST/GraphQL), designing database schemas, and implementing authentication/authorization flows
  • Clear written and verbal communication skills to lead code reviews and system design sessions
  • Ability to commit 20–40 hours per week
  • Prior experience with data annotation, data quality, or evaluation systems (preferred)
  • Familiarity with AI/ML workflows, model training, or benchmarking pipelines (preferred)
  • Experience with distributed systems or developer tooling (preferred)

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Benefits
  • Competitive hourly compensation ($50 - $75 per hour)
  • Remote work
  • Flexible commitment of 20–40 hours per week