AI Data Associate - Arabic, Agi Ds

Amazon Amazon · Big Tech · JO, Amman · Editorial, Writing, & Content Management

The AI Data Associate role focuses on foundational labeling tasks for generative AI and LLMs, working with diverse data types (text, speech, audio, image, video) to deliver high-quality labeled data. Responsibilities include data annotation, quality assurance, root cause analysis of errors, and process improvement suggestions, all while maintaining strict confidentiality. The role requires strong analytical skills, attention to detail, and language fluency in Arabic and English.

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

  • Language fluency in written and spoken Arabic
  • Good knowledge in both spoken and written English
  • Developed analytical thinking and structured problem-solving capabilities
  • Strong ability to interpret and implement detailed instructions across various projects
  • Proficient research skills with experience gathering and synthesizing information from multiple sources
  • Proven attention to detail in managing complex tasks and documents

Nice to have

  • Bachelor's degree in a relevant field
  • 1+ years of project coordination experience
  • Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
  • 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
  • Advanced proficiency in Microsoft Office Suite and common business applications.

What the JD emphasized

  • strict confidentiality

Other signals

  • labeling data
  • generative AI
  • LLMs