Remote Software Engineer

Requirements

Must have:

• At least 5 years of hands-on software engineering experience.
• Strong experience in at least one backend or full-stack environment (e.g., Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP).
• Experience building, maintaining, or reviewing production applications, APIs, services, databases, or integrations.
• Solid grasp of engineering fundamentals, including debugging, testing, code quality, architecture, and technical trade-offs.
• Ability to explain complex technical decisions clearly and objectively.
• Comfortable reading and reasoning through unfamiliar code or technical requirements.

Preferred Qualifications:

• Cybersecurity or SecOps background.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations.
• Experience with frontend frameworks (React, Next.js, Angular, Vue, or React Native).
• Open-source contributions, public GitHub work, technical writing, or strong examples of prior engineering work.
• Experience mentoring engineers, reviewing code, or making architecture decisions.

Responsibilities

• Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-oriented projects.
• Review, debug, improve, and explain code across different technical environments.
• Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
• Identify trade-offs related to scalability, maintainability, performance, reliability, security, and developer experience.
• Communicate technical reasoning clearly in writing.
• Collaborate with the customer's team on technical reviews, implementation choices, and problem-solving exercises.
• Adapt quickly to new codebases, frameworks, and technical requirements.

Company

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. We turn real-world expert knowledge into high-quality training data, evaluations, and feedback loops. Our global expert network supports meaningful work across fields such as finance, healthcare, and STEM engineering.

This is a remote contractor role with 10–15 hours per week, offering pay of $20–$75 per hour.