Software Engineer
@ Crossing Hurdles

Hybrid
$187,200
Hybrid
Contractor
Posted 19 hours ago

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

Overview

Crossing Hurdles is a recruitment firm referring top candidates to world leading AI research labs. As a Software Engineer, you will collaborate with AI research teams and work on next-generation machine learning applications.

Role & Responsibilities

  • Utilize coding agents such as Codex and Claude code for real-world coding tasks.
  • Collaborate with AI research teams to build robust, high-performance systems.
  • Contribute to open source projects and maintain personal projects on GitHub.
  • Communicate clearly with team members through written and verbal means.

Requirements

  • Extensive experience using coding agents in software engineering workflows.
  • Fluency in JavaScript/TypeScript, Rust, and Python.
  • Strong portfolio of open source contributions and personal projects.
  • Excellent attention to detail and rigorous problem-solving abilities.
  • Strong written and verbal communication skills.

Contract Details

  • Hourly Contract with compensation between $70 and $90/hour
  • Remote work
  • Duration: Minimum 2 weeks with potential extension
  • Commitment: Flexible 10–20 hours/week, potentially increasing to 40 hours

Application Process

  • Upload your resume
  • Complete an AI interview based on your resume (15 min)
  • Submit the application form (approximately 20 min)

Key skills/competency

Rust, JavaScript, TypeScript, Python, coding agents, AI research, open source, communication, problem-solving, collaboration

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How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize Resume: Tailor experiences to AI and coding skills.
  • Research Crossing Hurdles: Review their mission and recent projects online.
  • Emphasize Open Source: Highlight GitHub contributions and projects.
  • Prepare for AI Interview: Practice talking about coding agents and technical skills.

📝 Interview Preparation Advice

Technical Preparation

Review coding agent workflows and usage scenarios.
Brush up on Rust, JavaScript/TypeScript, and Python.
Practice coding tasks on sample codebases.
Study AI research lab tools and integrations.

Behavioral Questions

Describe effective remote teamwork experiences.
Explain handling coding challenges under pressure.
Discuss collaboration with diverse technical teams.
Share your approach to continuous learning.

Frequently Asked Questions