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Software Engineer

AI Jobs

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Original Job Summary

Software Engineer

Join the top 1% of Software Engineers worldwide to shape the future of AI. Earn competitive pay while working remotely on flexible projects that push the boundaries of technology.

What You Will Be Doing

  • Create and answer technical questions about software engineering concepts, coding best practices, and debugging strategies to help train AI models.
  • 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 real-world engineering standards.
  • Provide expert-level feedback on version control workflows, collaborative coding practices, and debugging techniques.

What We’re Looking For

  • Bachelor’s degree in Computer Science, Data Analysis, STEM or related fields from top global institutions.
  • Proficiency in at least two programming languages among JavaScript, Python, Go, Java, TypeScript, Rust, or C++.
  • Hands-on experience with production-grade software repositories.
  • Strong knowledge of Git or similar version control systems.
  • Proven problem solving skills in code reviews, debugging, and analyzing complex codebases.
  • Excellent communication skills in English for providing technical feedback.

Compensation and Benefits

  • Flexible schedule: work from 5 to 40 hours per week.
  • Remote-first opportunity available from multiple global locations including CA, MX, NZ, UK, US, AR, AU, PR.
  • Access to a global network of coding experts and exclusive tools like the Model Playground.

Key skills/competency

  • Software Engineering
  • AI Training
  • Code Review
  • Debugging
  • Git
  • Programming
  • Collaboration
  • Communication
  • Problem Solving
  • Remote Work

How to Get Hired at AI Jobs

🎯 Tips for Getting Hired

  • Customize resume: Tailor your skills to AI Jobs requirements.
  • Highlight projects: Emphasize remote and code review experience.
  • Network online: Connect on LinkedIn and GitHub.
  • Prepare for interviews: Review technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review core programming languages fundamentals.
Practice code debugging challenges regularly.
Study version control practices with Git.
Familiarize with multi-language production codebases.

Behavioral Questions

Describe a challenging remote project experience.
Explain your process in collaborative coding.
Discuss handling constructive technical criticism.
Share an example of problem-solving under pressure.