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Information Specialist

Crossing Hurdles

HybridHybrid

Original Job Summary

Position Overview

The Information Specialist role at Crossing Hurdles is a remote, hourly contract position where top candidates, including recent graduates and entry-level professionals, collaborate with leading AI research labs. This role focuses on editorial review and data quality improvement to support cutting-edge AI model training.

Key Responsibilities

  • Create and design research-style prompts requiring multi-domain validation.
  • Review and assess model-generated responses for accuracy and clarity.
  • Cross-check facts, identify discrepancies, and validate sources.
  • Provide structured feedback to enhance data quality and model reliability.
  • Collaborate remotely with AI researchers and reviewers asynchronously.

Requirements

Applicants should have a Bachelor’s degree or be current graduate students. Ideal candidates are detail-oriented, analytic, and possess strong fact-checking and research skills. Backgrounds in research, editing, teaching, regulatory filings, library science, humanities, or similar areas are advantageous.

Application Process

  • Submit a short application form outlining skills and academic background.
  • Complete a brief video or phone interview (20–30 minutes).
  • Participate in a screening or skills test to demonstrate ability.
  • Receive onboarding instructions and project access within 1–2 days upon approval.

Key skills/competency

  • Research
  • Editing
  • Fact-checking
  • Data Quality
  • Critical Thinking
  • Communication
  • Validation
  • Collaboration
  • Review
  • Attention to Detail

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant research and editorial skills.
  • Follow application guidelines: Complete forms and video interviews accurately.
  • Practice technical tests: Prepare for skills assessments and reviews.
  • Research Crossing Hurdles: Understand their focus in AI recruitment.

📝 Interview Preparation Advice

Technical Preparation

Review data validation guidelines.
Practice research prompt creation.
Familiarize with multi-source fact-checking.
Test formatting and review skills.

Behavioral Questions

Describe time management in remote work.
Explain collaboration in asynchronous teams.
Give examples of handling discrepancies.
Discuss feedback approach in reviews.