Mit Pathways Data Associate Intern

Amazon Amazon · Big Tech · Boston, MA · Corporate Operations

Intern role focused on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data, analyzing error patterns, and proposing solutions to enhance labeling quality.

What you'd actually do

  1. Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
  2. Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
  3. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
  4. Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
  5. Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video

Skills

Required

  • Strong proficiency in English
  • Advanced reading comprehension
  • Developed analytical thinking and structured problem-solving capabilities
  • Strong ability to interpret and implement detailed instructions
  • Proficient research skills

Nice to have

  • 2+ years of professional work experience
  • Proven capacity to leverage open-source resources effectively
  • Ability to adapt well to fast-paced environments
  • 2-3 years project coordination or management experience
  • Experience managing stakeholder relationships
  • Advanced proficiency in Microsoft Office Suite

What the JD emphasized

  • strict confidentiality
  • customer privacy is our most important tenet

Other signals

  • labeled data
  • human insight data
  • dialogue evaluation