AI Content Expert II @ Amazon
placeChennai, Tamil Nadu, India
attach_money $100,000
businessOn Site
scheduleFull Time
Posted 1 day ago
Your Application Journey
Interview
Email Hiring Manager
***** @amazon.com
Recommended after applying
Job Details
Overview
Amazon is seeking an AI Content Expert II to work with annotations, content generation, and data analysis. You will be part of the Data Team delivering high-quality training data to enhance AGI's Large Language Models.
Key Responsibilities
- Create and annotate complex training data in multiple modalities (text, image, video).
- Write grammatically correct texts in various styles following strict guidelines.
- Perform audits and quality checks on completed work.
- Make sound judgments in ambiguous situations.
- Identify tooling bugs and suggest improvements.
A Day in the Life
You will function as an ML Data Associate responsible for foundational labeling functions such as dialogue evaluation on diverse data types. Attention to detail, concentration, and discretion in handling confidential information are critical.
Basic Qualifications
- Bachelor’s degree or equivalent experience.
- 2+ years working with written language data including annotation.
- Strong research skills and attention to detail.
- Ability to adapt writing style across domains.
Preferred Qualifications
- Strong proficiency in English (C1 level or higher).
- Experience with LLM training data creation and evaluation.
- Familiarity with markup languages (HTML, XML, Markdown) and standard text formats (JSON, CSV, RTF).
- Working knowledge of Python or similar scripting languages.
- Understanding of Large Language Models and regular expressions.
Key skills/competency
- Annotation
- Content Generation
- Data Analysis
- Quality Assurance
- Guideline Adherence
- Technical Writing
- Markup Languages
- Python
- Research
- Decision Making
How to Get Hired at Amazon
🎯 Tips for Getting Hired
- Customize Your Resume: Tailor your resume to highlight annotation and data skills.
- Research Amazon: Understand Amazon's data strategy and culture.
- Prepare Examples: Showcase writing samples and data analysis projects.
- Practice Interviews: Focus on technical and behavioral questions.
📝 Interview Preparation Advice
Technical Preparation
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Review markup languages fundamentals.
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Brush up on Python scripting basics.
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Practice data annotation exercises.
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Study regular expressions usage.
Behavioral Questions
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Describe past data projects.
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Explain handling ambiguous tasks.
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Discuss collaboration with teams.
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Share experiences meeting deadlines.
Frequently Asked Questions
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