Software Engineer: AI Code Evaluation & QA

Gramian Consulting Group; New Zealand; On-site; NZD 90,000 - 130,000; Full time

Job summary

Gramian Consultancy seeks a Mid-Senior Software Engineer to help train and evaluate next-generation AI models on real-world software tasks in New Zealand. You will assess AI-generated code for correctness and quality, and design challenging problems with verified reference solutions.

You will review model reasoning across architecture, debugging, and system design, identify weaknesses, and provide actionable feedback to improve AI performance. Excellent written English is essential.

Qualifications

• Bachelor's degree in Data Science, Software Engineering, Computer Science or related field from a university in the US, Canada, Australia, New Zealand or the UK.
• At least 3 years of experience in Data Science or Software Engineering.
• Excellent written English and ability to communicate technical feedback clearly.

Responsibilities

• Evaluate AI-generated code for functional correctness, code quality, maintainability and sound software design.
• Create challenging coding problems, verified reference solutions, and comprehensive test cases.
• Review AI reasoning on software architecture, debugging, algorithms, and system design.
• Identify logical errors, inefficient implementations, edge cases, and architectural weaknesses.
• Provide detailed technical feedback and explanations to help improve AI model performance.
• Apply consistent evaluation criteria to ensure accurate and reliable assessments.

Skills

Programming fundamentals

Software Engineering

Data Science

Analytical thinking

English communication

Education

Bachelor's degree in Data Science/Software Engineering/CS

Job description

Gramian Consultancy seeks a Mid-Senior Software Engineer to help train and evaluate next-generation AI models on real-world software tasks in New Zealand. You will assess AI-generated code for correctness and quality, and design challenging problems with verified reference solutions.

You will review model reasoning across architecture, debugging, and system design, identify weaknesses, and provide actionable feedback to improve AI performance. Excellent written English is essential.