Computer Science Specialist @ Crossing Hurdles
placeHybrid
attach_money $57,200
businessHybrid
scheduleContractor
Posted 11 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @crossinghurdles.com
Recommended after applying
Job Details
Overview
Crossing Hurdles is a recruitment firm referring top candidates to our partners working with the world’s leading AI research labs. The role of Computer Science Specialist focuses on reviewing and auditing AI-generated data in a remote, flexible, part-time engagement.
Role Responsibilities
- Review and audit submitted AI-generated data including prompts, solutions, final answers, references, and metadata.
- Evaluate task quality using structured rubrics covering 8–10 criteria.
- Verify accuracy of solutions, reasoning steps, and chain-of-thoughts by identifying flaws or gaps.
- Assess coding problems for test case validity, solution correctness, and language consistency.
- Provide concise, well-reasoned written feedback to justify evaluation decisions.
- Work independently and asynchronously using provided tools and workflows.
Ideal Qualifications
- PhD or current PhD candidacy, or Master’s degree in Mathematics, Computer Science, Applied Mathematics, or related STEM fields.
- Expertise in mathematics domains (algebra, geometry, combinatorics, probability, etc.) and coding areas (data structures, algorithms, QA).
- Strong analytical skills and excellent written communication.
- Ability to work independently in a fully remote setting.
- Basic knowledge of Python and testing frameworks like Pytest or JUnit is preferred.
Application Process
- Upload your resume.
- Participate in an AI interview (15 minutes) based on your resume.
- Submit the application form.
Key skills/competency
- AI
- Data auditing
- Evaluation
- Coding
- Testing
- Analytical
- Remote work
- Communication
- Python
- Rubrics
How to Get Hired at Crossing Hurdles
🎯 Tips for Getting Hired
- Research Crossing Hurdles: Understand the firm and partner labs.
- Customize your resume: Highlight AI and data evaluation skills.
- Prepare for AI interviews: Review your academic and professional experience.
- Practice role-specific tasks: Refresh coding and analytical techniques.
📝 Interview Preparation Advice
Technical Preparation
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Review Python basics and testing frameworks.
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Practice coding problem evaluations.
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Study structured evaluation rubrics.
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Refresh mathematical theory and reasoning.
Behavioral Questions
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Describe managing remote work challenges.
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Explain independent task coordination.
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Discuss handling detailed feedback.
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Share experience with asynchronous communication.
Frequently Asked Questions
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