Teacher
@ Crossing Hurdles

Hybrid
$120,000
Hybrid
Contractor
Posted 23 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXX***** @crossinghurdles.com
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Job Details

About the Teacher Role

Crossing Hurdles, a recruitment firm, is referring top candidates including recent graduates and entry-level professionals to our partners at leading AI research labs. The Teacher role involves work as an Editor, Fact Checker, and Data Quality Reviewer.

Role Responsibilities

  • Create and design research-style prompts requiring browsing and validation.
  • Review model-generated responses for accuracy, completeness, and clarity.
  • Cross-check facts, spot inconsistencies, and validate sources.
  • Provide clear, structured feedback to improve data quality.
  • Collaborate remotely with AI researchers and other reviewers.

Requirements

Bachelor’s degree or current graduate status. Recent graduates or students with strong critical thinking and writing skills are welcome to apply. Must be detail-oriented, analytic, and skilled at fact verification, research, and clear written communication. Ability to work independently and manage time effectively is required. Backgrounds in research, editing, teaching, regulatory filings, library science, or humanities are a strong fit.

Application Process

  • Submit a short application form highlighting skills and academic background.
  • Complete a brief video or phone interview (20–30 minutes).
  • Participate in a screening/skills test to demonstrate fact-checking and editorial review abilities.
  • Receive onboarding instructions within 1–2 days upon approval.

Key skills/competency

  • Research
  • Editing
  • Fact-checking
  • Analysis
  • Communication
  • Attention-to-detail
  • Collaboration
  • Time-management
  • Data-quality
  • Validation
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How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant research and editorial skills.
  • Showcase your experience: Emphasize fact-checking and writing strengths.
  • Prepare for interviews: Review AI and data quality trends.
  • Follow application guidelines: Complete all forms and tests accurately.

📝 Interview Preparation Advice

Technical Preparation

Review AI model evaluation techniques.
Practice data verification exercises.
Enhance research and analysis skills.
Study editorial guidelines for consistency.

Behavioral Questions

Describe a time you solved discrepancies.
Explain your independent work strategies.
Discuss your teamwork in remote projects.
Share your time management experience.

Frequently Asked Questions