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2 tygodni temu

Gdańsk, Pomerania, Polska Amazon MLS Poland Pełny etat

Do you want to be part of a cutting-edge team that's pushing the boundaries of AI and machine learning? We're seeking a highly skilled Senior Data Associate to join our team at Amazon MLS Poland

As a Senior Data Associate, you will play a critical role in supporting the development and deployment of large language models (LLMs) across all of our businesses. You will work closely with data scientists and engineers to ensure the successful delivery of high-quality labelled data, meeting our rigorous KPIs.

Responsibilities:

  • Work with a range of different types of data, including text, speech, image, and video.
  • Deliver high-quality labelled data using guidelines provided and in-house tools and software.
  • Serve as a subject matter expert for Machine Learning (ML) data workflows.
  • Make sound judgments and logical decisions when faced with ambiguous or incomplete information.
  • Eye for detail and ability to pivot from one category of requirement to another instantly.
  • Support daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team.
  • Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
  • Identify day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations.
  • Demonstrate ownership in floor support to clarify internal queries during execution on need basis.

Requirements:

  • Fluent proficiency in one of the following languages: Italian, German, or French.
  • Business proficiency in English.
  • Excellent computer skills, including MS Office.
  • High school or equivalent diploma.
  • 2+ years of professional work experience with demonstrated task execution ability.
  • Proven capacity to leverage open-source resources effectively for comprehensive research purposes.
  • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.