Data Processing Specialist
@ Crossing Hurdles

Hybrid
$83,200
Hybrid
Contractor
Posted 5 days ago

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

Overview

At Crossing Hurdles, we work as a referral partner. We refer candidates to our partner that collaborates with world’s leading AI research labs to build and train cutting-edge AI models. The position is for a Data Processing Specialist on an hourly contract basis.

Role Responsibilities

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

Requirements

  • Strong ability to organize and structure complex or large datasets.
  • Excellent written communication skills.
  • Experience with rubrics, taxonomies, or standardized annotation guidelines is preferred but not mandatory.
  • Detail-oriented and able to work independently in a fully remote, asynchronous environment.

Application Process

The application process takes approximately 15 minutes and includes:

  • Uploading your resume
  • Participating in a 10-minute AI interview
  • Submitting a form

Key skills/competency

  • Data Annotation
  • Data Categorization
  • Data Synthesis
  • Quality Control
  • Remote Work
  • Communication
  • AI Systems
  • Standardization
  • Taxonomy
  • Detail Orientation

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills to data processing.
  • Highlight relevant experience: Mention annotation and categorization projects.
  • Research Crossing Hurdles: Understand their AI referral process.
  • Practice interview tips: Prepare for AI-based interview questions.

📝 Interview Preparation Advice

Technical Preparation

Review annotation software basics.
Practice data categorization tasks.
Familiarize with rubrics and taxonomies.
Test remote working tools.

Behavioral Questions

Describe managing remote projects.
Explain organizing large datasets.
Discuss independent work challenges.
Share resolution of annotation errors.

Frequently Asked Questions