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DESCRIPTION

At Amazon, we're evolving how to support sellers, customers in solving their query resolved faster using AI. That is where our team steps in, we support multiple AI models in benchmarking their responses for it relevancy, correctness and completeness.
- You perform straightforward annotation related tasks across ML data process areas. You are able to determine the right task or procedure (or when a slight deviation is needed) to achieve desired outcome.
- You act as point of contact for one or more simple annotation tasks in a given ML data process area. You are responsible for the quality of execution for these tasks.
- You understand the dependencies of tasks across ML data workflows and are able to articulate customer impact. You use the existing annotation methods and modify the SOPs. You document the changes in SOP and once approved, you share the knowledge with the team, audit SOP adoption and execution.
- You test new SOP/tools and share feedback on their quality and provide inputs for improvement to support on boarding of new tools.

Key job responsibilities
- You structure data collection, analyse results and share inputs for SOP changes.
- You collate, track, and report progress on key metrics agreed to with respective stakeholders (e.g., Program managers, Applied Scientist) specific to your functional area.
- You identify operational issues related to process and tooling and recommend suggestions to improve key project metrics such as productivity and quality.