Want to get hired at Crossing Hurdles?
AI Training Data Specialist
Crossing Hurdles
HybridHybrid
Original Job Summary
About the Role
The AI Training Data Specialist at Crossing Hurdles collaborates with world-class AI research labs, focusing on data annotation and preparation to build cutting-edge AI models.
Role Responsibilities
- Synthesize and interpret large volumes of diverse data.
- Annotate and categorize text, images, and other data types using predefined guidelines.
- Apply rubrics and standardization protocols for quality output.
- Identify and flag inconsistencies or errors in datasets.
- Contribute to enhancing and refining AI systems.
Requirements
- Strong organizational skills for managing large datasets.
- Excellent written communication skills.
- Experience with rubrics, taxonomies, or standardized guideline usage is a plus.
- Detail-oriented and self-motivated working remotely.
Application Process
- Upload resume
- Participate in a 10-minute AI interview
- Submit a form (15 minutes total process)
Key skills/competency
- Data Annotation
- Data Synthesis
- Rubrics
- Taxonomies
- Quality Control
- Detail-oriented
- Remote Work
- Communication
- Data Organization
- AI Systems
How to Get Hired at Crossing Hurdles
🎯 Tips for Getting Hired
- Research Crossing Hurdles' background: Learn about their AI partnerships and culture.
- Customize your resume: Highlight data annotation and organizational skills.
- Follow application guidelines: Upload resume and complete the AI interview.
- Prepare examples: Showcase proficiency in rubric application and data synthesis.
📝 Interview Preparation Advice
Technical Preparation
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Review data annotation tools and software.
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Practice using labeling and classification methods.
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Familiarize with rubric and taxonomy systems.
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Test your ability to handle large data sets.
Behavioral Questions
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Describe managing complex data sets independently.
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Explain handling repetitive tasks in remote settings.
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Share experience refining processes or guidelines.
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Detail overcoming challenges in standardization tasks.