AI Data Annotator
@ Amazon

Boston, MA
$63,000
On Site
Full Time
Posted 16 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @amazon.com
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Job Details

Overview

Amazon is seeking an AI Data Annotator to support the Data Team by producing high-quality training data. This role involves annotations, content generation, and data analysis to enhance AGI's Large Language Models' capabilities.

Key Responsibilities

  • Create and annotate high-quality complex training data across various modalities (text, image, video).
  • Write grammatically correct texts in diverse styles per provided guidelines.
  • Perform audits and quality checks of data tasks and review work from peers.
  • Make informed judgments in ambiguous situations and resolve issues independently.
  • Identify tooling bugs and suggest improvements.

Basic Qualifications

  • High-School diploma or equivalent.
  • 2+ years working with written language data and annotation.
  • Strong proficiency in English (C2 level) and excellent writing and comprehension skills.
  • Good research skills and cultural understanding of U.S. norms.
  • Attention to detail and ability to work in fast-paced environments.

Preferred Qualifications

  • Bachelor’s degree or equivalent professional experience.
  • Experience in complex data annotation for LLM training.
  • Familiarity with command line, UNIX, markup languages, and scripting (Python).
  • Comfort with regular expressions and handling sensitive content.

Additional Information

Amazon is an equal opportunity employer committed to diversity and inclusion. Applicants needing accommodations should visit the provided link. Compensation varies based on US geographic markets, with base pay from $40,400 to $86,500 yearly and additional benefits available.

Key skills/competency

Annotation, Data, Training, Quality, English, Research, Guidelines, Multimodal, Scripting, Attention

How to Get Hired at Amazon

🎯 Tips for Getting Hired

  • Customize your resume: Highlight annotation and data skills.
  • Showcase relevant projects: Emphasize experience with LLM training.
  • Research Amazon: Understand their culture and innovation.
  • Practice technical tests: Prepare for data tasks and quality checks.

📝 Interview Preparation Advice

Technical Preparation

Practice data annotation tools.
Review basic UNIX commands.
Study scripting languages like Python.
Learn markup languages and regular expressions.

Behavioral Questions

Describe how you manage ambiguous tasks.
Explain your process for peer reviews.
Share a time you resolved data issues.
Discuss adapting to fast-changing priorities.

Frequently Asked Questions