AI Content Expert II
@ Amazon

Chennai, Tamil Nadu, India
$120,000
On Site
Full Time
Posted 24 days ago

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Job Details

Overview

Amazon is seeking an AI Content Expert II for a fixed contractual role. You will work in the Data Team to create and annotate complex training data, helping to enhance AGI's Large Language Models' capabilities.

Key Responsibilities

  • Create and annotate training data across text, image, and video modalities.
  • Write grammatically correct and style-adapted content following guidelines.
  • Perform audits, quality checks, and review work done by peers.
  • Make sound judgments on ambiguous or incomplete information.
  • Dive deep into issues and propose independent solutions.
  • Identify and report tooling bugs while suggesting improvements.

A Day in the Life

As an AI Content Expert II (also known as ML Data Associate), you will engage in foundational labeling, dialogue evaluation across multiple data formats, and maintain strict confidentiality. You will collaborate with scientists and engineers in a dynamic, fast-paced team environment.

Basic and Preferred Qualifications

  • Bachelor’s degree or equivalent professional experience.
  • 2+ years working with written language data and annotations.
  • Strong research skills and attention to detail.
  • Proficiency in English and ability to adapt writing styles.
  • Experience with common markup languages and basic scripting.
  • Comfort with sensitive content and U.S.-based cultural norms.

Key skills/competency

  • Annotation
  • Content Generation
  • Data Analysis
  • Quality Checks
  • Guideline Adherence
  • Tooling Improvement
  • Multimodal Data
  • Research Skills
  • Attention to Detail
  • Technical Writing

How to Get Hired at Amazon

🎯 Tips for Getting Hired

  • Customize your resume: Tailor for AI data and content roles.
  • Showcase annotation skills: Highlight previous data projects.
  • Research Amazon's culture: Understand their values and mission.
  • Practice technical questions: Prepare for data and tool challenges.

📝 Interview Preparation Advice

Technical Preparation

Review markup languages basics.
Practice Python or scripting exercises.
Study large language model fundamentals.
Prepare quality audit techniques.

Behavioral Questions

Describe handling ambiguous data tasks.
Explain teamwork under tight deadlines.
Discuss adapting to fast changes.
Share conflict resolution experiences.

Frequently Asked Questions