Exciting Career Opportunity: Data Associate I at Amazon – 2025

Amazon is a global leaders in e-commerce and technology, leveraging artificial intelligence (AI) and machine learning (ML) to enhance customer experiences. The Data Associate I role plays a crucial part in the improving Amazon Search Services, ensuring users receive the most accurate and relevant results in it when they search for products. By handling data annotation and quality control, Data Associates help train AI models that drive better semantic matching, ranking, and search algorithms. This position is ideal for individuals looking to gain hands-on experience in AI-driven data processing and contribute to cutting-edge innovations in e-commerce in the company.

Key Responsibilities

  • Provide high-quality data annotation
  • Meet business metrics and quality targets
  • Maintain workflow records
  • Follow SOPs and quality compliance
  • Communicate with stakeholders
  • Analyze data patterns and trends
  • Handle sensitive content
  • Perform troubleshooting and root cause analysis
  • Understand e-commerce processes

Qualifications

Basic:

  • Bachelor’s degree
  • Fluency in English (reading, writing, speaking)
  • Experience with Microsoft Office

Preferred:

  • Advanced Excel skills

Why Join Amazon?

  • Competitive salary and benefits
  • Work with AI/ML technologies
  • Growth opportunities within Amazon
  • Flexible and inclusive work culture

Skills Required

  • Analytical thinking
  • Attention to detail
  • Strong communication
  • Problem-solving ability
  • Familiarity with Microsoft Office

Challenges in the Role

  • Handling sensitive content
  • Maintaining accuracy in repetitive tasks
  • Meeting strict deadlines

Career Growth Opportunities

  • Move into higher-level data roles
  • Transition into AI/ML teams
  • Upskilling and internal training programs

Application Process

  1. Apply online via Amazon’s career portal
  2. Resume screening and shortlisting
  3. Assessment tests
  4. Interviews with hiring managers
  5. Final selection and offer

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