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Data Processing Specialist

Crossing Hurdles

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Original Job Summary

Data Processing Specialist at Crossing Hurdles

Crossing Hurdles is a recruitment firm that connects top candidates with leading AI research labs. We are seeking a Generalist Data Annotation Expert for an hourly contract position.

Role Details

Position: Generalist Data Annotation ExpertType: Hourly ContractCompensation: $40/hourLocation: RemoteDuration: Through December (with potential extension)Commitment: Approximately 20 hours/week (flexible, asynchronous)

Responsibilities

  • Synthesize and interpret large volumes of diverse data.
  • Annotate and categorize text, images, and other data types using predefined guidelines and taxonomies.
  • Apply rubrics and standardization protocols to ensure high-quality output.
  • Identify and flag inconsistencies, ambiguities, or errors within datasets.
  • Contribute to refining and enhancing AI systems.

Requirements

  • Strong organizational skills for large/complex datasets.
  • Excellent written communication skills.
  • Experience with rubrics, taxonomies, or annotation guidelines is preferred.
  • Detail-oriented and able to work independently in a remote, asynchronous environment.

Application Process

Submit your resume for consideration and complete the Preference Selection Calibration Assessment. Expect a review response within 3–5 business days.

Key skills/competency

  • Data Annotation
  • Data Synthesis
  • Taxonomies
  • Rubrics
  • Quality Control
  • Detail Orientation
  • Remote Work
  • Communication
  • AI Systems
  • Data Analysis

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data annotation and remote work skills.
  • Review the guidelines: Understand rubric and taxonomy details.
  • Complete assessments: Prepare for the calibration evaluation.
  • Research Crossing Hurdles: Familiarize with their AI recruitment process.

📝 Interview Preparation Advice

Technical Preparation

Review annotation guidelines in detail.
Practice data categorization tasks.
Familiarize with quality control metrics.
Understand rubric standardization methods.

Behavioral Questions

Describe your experience working remotely.
Explain a challenge in data annotation.
Discuss your time management skills.
Share how you ensure data accuracy.