Backend Engineer

The Work

You will create challenging backend programming tasks for AI systems, including realistic feature development, debugging, and bug-fix scenarios. You will also build deterministic verifiers that accept reasonable valid solutions and reject solutions that fail the requirements.

• Design backend tasks covering feature implementation, debugging, and bug fixes.
• Build verifiers that reliably distinguish valid code from invalid code.
• Use sound judgment about code quality, performance, automated testing, refactoring, algorithms, data structures, and scalable services.
• Apply secure coding and security review practices when they are relevant to a task.

What It Pays And Takes

This is a remote contractor role with flexible scheduling. The work is open to candidates in the listed countries and requires professional fluency in English.

• $30 to $100 per hour equivalent, paid per task that meets the project specifications.
• About 15 hours per week, with flexible scheduling.
• Location: remote, open to applicants in Brazil, India, and the United States.
• Strong backend development experience in Python, Java, Node.js, Go, Rust, TypeScript, C++, or a similar language.
• Experience building scalable services and APIs, debugging software, resolving bottlenecks, implementing complex features, and reviewing code.
• Strong analytical, problem-solving, and technical communication skills.
• Helpful experience includes secure coding, application security, penetration testing, vulnerability assessment, security-focused code review, OWASP or CWE guidance, and performant software in large-scale codebases.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

About AI Training Work

AI training is the human work behind systems that learn from examples, including programming tasks and reviews of model-generated code. People with strong technical experience help set clear standards and create reliable evaluations, which is why specialist AI training work can pay more for expertise.