ML Data Associate-ii

Amazon Amazon · Big Tech · IN, TS, Hyderabad · Operations, IT, & Support Engineering

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

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. Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
  3. Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
  4. Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
  5. Demonstrate ownership in floor support to clarify internal queries during execution on need basis

Skills

Required

  • Bachelor's degree
  • Fluency in Hindi language
  • Strong business writing skills
  • Advanced reading comprehension
  • Developed analytical thinking
  • Structured problem-solving capabilities
  • Ability to interpret and implement detailed instructions
  • Proficient research skills
  • Proven attention to detail

Nice to have

  • C1 English language proficiency
  • 2+ years of professional work experience
  • Proven capacity to leverage open-source resources
  • Ability to adapt well to fast-paced environments
  • 1+ years project coordination or management experience
  • Experience managing stakeholder relationships
  • Advanced proficiency in Microsoft Office Suite

What the JD emphasized

  • strict confidentiality

Other signals

  • labeling data
  • dialogue evaluation
  • text, speech, audio, image, and video data