Want to get hired at Crossing Hurdles?

Data Labeling Expert

Crossing Hurdles

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Original Job Summary

Data Labeling Expert

Crossing Hurdles is a recruitment firm connecting top candidates with leading AI research labs to build and train cutting-edge AI models.

Position Details

Type: Hourly Contract Compensation: $40/hour Location: Remote Commitment: 10–40 hours/week

Role Responsibilities

  • Synthesize information from large volumes of data into structured formats
  • Annotate and categorize text, images, and other data per guidelines
  • Apply predefined rubrics and taxonomies for high-quality outputs
  • Flag inconsistencies, ambiguities, or errors in datasets
  • Contribute directly to improving AI systems accuracy

Requirements

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

Application Process

  • Upload resume
  • AI interview based on your resume (15 min)
  • Submit form (20 min total process)

Key skills/competency

  • data annotation
  • data labeling
  • taxonomy
  • AI
  • categorization
  • structured data
  • communication
  • attention to detail
  • problem-solving
  • analysis

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your resume to data annotation skills.
  • Highlight Experience: Emphasize previous labeling or taxonomy work.
  • Research Company: Understand Crossing Hurdles culture and mission.
  • Practice Interview: Prepare for AI-based resume interview questions.

📝 Interview Preparation Advice

Technical Preparation

Review labeling software tools.
Practice data categorization exercises.
Study structured data management.
Familiarize with annotation guidelines.

Behavioral Questions

Describe handling tight deadlines.
Explain communication during remote projects.
Discuss problem resolution steps.
Share teamwork examples in past roles.