AI Data Annotation Associate
@ Crossing Hurdles

Hybrid
$83,200
Hybrid
Contractor
Posted 8 hours ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX****** @crossinghurdles.com
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Job Details

Overview

Crossing Hurdles is a recruitment firm connecting top candidates with leading AI research labs. As an AI Data Annotation Associate, you will help build and train cutting-edge AI models.

Role Responsibilities

  • Synthesize information from large volumes of data into structured formats
  • Annotate and categorize text, images, and other data following detailed guidelines
  • Apply predefined rubrics and taxonomies to ensure consistent high-quality outputs
  • Flag inconsistencies, ambiguities, or errors in datasets
  • Directly contribute to improving the accuracy of AI systems

Requirements

Ability to synthesize complex or high-volume information into structured formats and excellent written communication skills. Prior experience with rubrics or standardized guidelines is preferred but not required.

Application Process

  • Upload resume
  • Complete an AI interview (15 min) based on your resume
  • Submit the application form

Key skills/competency

  • Data Annotation
  • Data Structuring
  • Rubric Application
  • Taxonomy
  • Quality Assurance
  • AI Systems
  • Detail-Oriented
  • Communication
  • Remote Work
  • Analytical Skills

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Research Crossing Hurdles: Understand their recruitment approach and client labs.
  • Customize your resume: Highlight data annotation and analysis skills.
  • Prepare examples: Show prior work with rubrics and taxonomies.
  • Practice interviews: Be ready for AI-driven resume discussions.

📝 Interview Preparation Advice

Technical Preparation

Review data structuring best practices.
Practice annotation tool usage.
Learn rubric and taxonomy application.
Refine data quality testing skills.

Behavioral Questions

Describe handling ambiguous instructions.
Explain your approach to errors.
Share examples of teamwork.
Discuss managing high-volume tasks.

Frequently Asked Questions