Remote Junior AI Code Reviewer & Challenge Designer

The Ai Training Company; New Zealand; Remote; NZD 70,000 - 100,000; Full time

Job summary

The Ai Training Company seeks talented early-career Software Engineers to contribute to a remote AI project focused on evaluating code, creating challenging tasks, and improving coding models. You will review AI-generated code, assess reasoning, and craft reference solutions, tests, and detailed feedback on debugging, architecture, and implementation quality.

We welcome engineers with strong fundamentals who can quickly understand unfamiliar code, identify subtle issues, and design realistic

Qualifications

• Strong programming and debugging fundamentals.
• Ability to evaluate code for correctness and quality.
• Ability to write technically sound reference solutions and tests.
• Clear written explanation of technical decisions.

Responsibilities

• Review AI-generated code for correctness, efficiency and maintainability.
• Identify bugs, edge cases, incomplete implementations, and poor design in generated solutions.
• Create realistic coding problems based on real-world software scenarios.
• Write high-quality reference solutions demonstrating correct implementations.
• Develop test cases distinguishing correct vs. incorrect approaches.
• Review model reasoning related to debugging, architecture, APIs, data structures, algorithms and system design.
• Assess practicality and alignment with professional engineering standards.
• Provide detailed written feedback on what is correct and how to improve.

Skills

Programming fundamentals

Debugging

Code evaluation

Technical decision writing

Analytical thinking

Job description

The Ai Training Company seeks talented early-career Software Engineers to contribute to a remote AI project focused on evaluating code, creating challenging tasks, and improving coding models. You will review AI-generated code, assess reasoning, and craft reference solutions, tests, and detailed feedback on debugging, architecture, and implementation quality.

We welcome engineers with strong fundamentals who can quickly understand unfamiliar code, identify subtle issues, and design realistic