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Coding & Software Engineering

Software Engineer

Contract, 100% remoteUnited States, United Kingdom, Canada, A100 openings$66 - $129/hour

About this role

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Skills

PythonRustGoLangFull-stackJAVANode.jsAndroid DevelopmentiOS Development

Key responsibilities

  • Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js.
  • Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements.
  • Write clean, efficient, and well-documented code, following best software engineering practices.
  • Troubleshoot, debug, and optimize existing codebases to improve performance and reliability.
  • Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement.
  • Contribute to the full software development lifecycle, from concept and design to testing and deployment.
  • Maintain clear, concise, and thoughtful written and verbal communication across distributed teams.

Required skills & qualifications

  • 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack).
  • Proficiency in building scalable, reliable, and maintainable software systems.
  • Experience working in remote, collaborative, and agile environments.
  • Expertise in modern development tools, version control systems, and CI/CD pipelines.
  • Strong problem-solving skills with keen attention to detail.
  • Excellent written and verbal communication skills, with a high standard for clarity and professionalism.
  • Self-driven, proactive, and able to work independently in a distributed setting.

Preferred qualifications

  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Knowledge of DevOps principles and containerization technologies.
  • Background in mentoring or leading small engineering teams.
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