- United States
Lead the development of internal tooling and quality-control systems that power AI training workflows.
Responsibilities
- Build scalable platforms supporting data creation, annotation, evaluation, review, and delivery
- Design and implement APIs, internal applications, and developer tooling that enable efficient workflows
- Develop maintainable, well-tested code that scales with growing demands
- Improve dataset quality, task validation, model evaluation, and production efficiency
- Build and iterate on evaluation frameworks that ensure quality and reliability of AI training outputs