Remote Software Engineer

Requirements

Must have:

- We need at least 5 years of hands-on software engineering experience.

• We are looking for strong experience in at least one backend or full-stack environment such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar.
• We expect experience building, maintaining, or reviewing production applications, APIs, services, databases, or integrations.
• We want a solid grasp of engineering fundamentals, including debugging, testing, code quality, architecture, and technical trade-offs.
• We need the ability to explain complex technical decisions clearly and objectively.
• We are looking for someone comfortable reading and reasoning through unfamiliar code or technical requirements.
• A cybersecurity or SecOps background, or related exposure, is highly preferred.
• Experience with cloud platforms such as AWS, GCP, or Azure is preferred.
• Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations is preferred.
• Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native is preferred.
• Open-source contributions, public GitHub work, technical writing, or strong examples of prior engineering work are preferred.
• Experience mentoring engineers, reviewing code, or making architecture decisions is preferred.

Responsibilities:

- We work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-oriented projects.

• We review, debug, improve, and explain code across different technical environments.
• We design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows.
• We identify trade-offs related to scalability, maintainability, performance, reliability, security, and developer experience.
• We communicate technical reasoning clearly in writing, including why a solution works and what alternatives we considered.
• We collaborate with the customers team on technical reviews, implementation choices, and problem-solving exercises.
• We adapt quickly to new codebases, frameworks, and technical requirements.

Company:

We are micro1, 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 that help AI systems learn, reason, and perform better. 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.