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Remote Software Engineer

AI Jobs

HybridHybrid

Original Job Summary

About Remote Software Engineer

Join the top 1% of Software Engineers worldwide to shape the future of AI at AI Jobs. This role offers flexible, remote opportunities, focusing on technical Q&A, code review, and providing expert feedback on programming practices in multiple languages.

Responsibilities

  • Create and answer technical questions on software engineering concepts.
  • Review and evaluate AI-generated code in languages such as JavaScript, Python, Go, Java, TypeScript, Rust, and C++.
  • Analyze code quality, maintainability, and adherence to engineering standards.
  • Provide expert feedback on version control workflows and collaborative coding practices.

Requirements

  • Bachelor’s degree in Computer Science, Data Analysis, STEM, or related fields from reputable institutions.
  • Proficiency in two or more programming languages among JavaScript, Python, Go, Java, TypeScript, Rust, or C++.
  • Hands-on experience with production-grade software repositories and version control systems, especially Git.
  • Strong problem-solving skills, code review capabilities, and troubleshooting abilities.
  • Excellent communication skills in English for explaining technical feedback.

Compensation & Benefits

  • Flexible schedule: work 5–10 hours/week up to 40 hours/week if desired.
  • Remote-first opportunity available in multiple regions: CA, MX, NZ, UK, US, AR, AU, PR.
  • Access to a global community of AI coding experts and exclusive Model Playground tools.

Key skills/competency

  • Software Engineering
  • Remote Work
  • Code Review
  • Debugging
  • Git
  • JavaScript
  • Python
  • Java
  • Collaboration
  • Problem Solving

How to Get Hired at AI Jobs

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight technical coding skills and remote work experience.
  • Emphasize relevant projects: Showcase multi-language software development expertise.
  • Research AI Jobs: Understand company culture and global community.
  • Prepare real examples: Bring practical code review and debugging scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review coding languages fundamentals.
Practice debugging varied codebases.
Study Git version control strategies.
Rehearse technical code review scenarios.

Behavioral Questions

Describe your remote work experiences.
Explain a challenging code review situation.
Discuss how you handle feedback.
Outline teamwork in global projects.