Backend Software Engineer for AI Coding Tasks

You will help evaluate AI coding tasks in reproducible coding environments built from real repository code. Your reviews will help assess how well AI systems solve software problems and explain their decisions.

The work combines technical review, evidence-based judgment, and clear documentation. Prior AI training experience is not required.

• Evaluate model outputs using project rubrics.
• Review source materials and model outputs against project guidelines.
• Document evidence that supports each judgment.
• Explain decisions clearly so feedback can improve model behavior.
• Maintain consistent quality across repeated review tasks.

What it pays and takes

This is a part-time contractor role for candidates with strong practical software engineering knowledge.

• $50 to $100 per hour equivalent, paid per task that meets the project specifications.
• Approximately 15 hours per week, with task effort varying by experience and workflow.
• Estimated project earnings of $6,000 to $12,000 are based on the hourly-equivalent rate, schedule, and project duration.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Professional fluency in English.
• Strong hands-on expertise in at least one of Python 3, Java, Rust, Go, C++, or TypeScript.
• Deep knowledge of algorithms, data structures, and software engineering principles.
• Ability to debug complex systems, resolve bugs, and deliver effective optimizations.
• Experience refactoring large codebases and modernizing legacy systems.
• Experience delivering high-impact features from initial concept through delivery.
• Strong technical writing and communication skills.

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.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number and answers to 7 screening questions.

About AI training work

AI training is the human work behind systems that generate and understand code, text, images, and other data. People review examples, rate model results, and explain what good performance looks like so AI systems can improve.