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We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems. No prior AI experience is required. What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality.
Job Responsibility
Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related 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 tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience
Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered
Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises
Adapt quickly to new codebases, frameworks, and technical requirements
Requirements
5+ years of hands-on software engineering experience
Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C#, .NET, C++, Go, Ruby, PHP, or similar
Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations
Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs
Ability to explain complex engineering decisions clearly and objectively
Comfortable reading and reasoning through unfamiliar code or technical requirements
Nice to have
Experience with cloud environments such as AWS, GCP, or Azure
Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations
Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native
Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work
Experience mentoring engineers, reviewing code, or making architecture decisions