Software Engineer - AI Code Evaluation
- Where
- Remote · United Kingdom (Remote)
- Salary
- not stated by the employer
- Spoken languages
- English · CEFR not stated
LANGUAGE: Strong written English
- English · CEFR not stated
- First sniffed
- 25 Oct 2026 04:31 · open 35h
- Last verified
- 26 Oct 2026 11:01 · still on the employer's site
- Source
- Company careers system
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for Software Engineers to help train and evaluate next-generation AI models on real-world software engineering tasks. You will assess AI-generated code for correctness, quality, and design, create challenging programming problems with verified reference solutions, and evaluate model reasoning across architecture, debugging, and system design. This role is ideal for technically strong professionals who can identify engineering flaws and provide clear, actionable feedback to improve AI performance.
SENIORITY: Mid-Senior
LANGUAGE: Strong written English
Key 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.
Requirements
- At least 3 years of overall professional experience in Data Science or Software Engineering.
- At least 1 year of professional experience at a leading technology, finance, or research company.
- A bachelor’s degree in Data Science, Software Engineering, Computer Science, or a related field from a university in the United States, Canada, Australia, New Zealand, or the United Kingdom.
- Strong programming and software engineering fundamentals.
- Ability to evaluate code correctness, identify bugs, and assess software design decisions.
- Strong analytical thinking and the ability to solve complex technical problems.
- Excellent written English and the ability to communicate technical feedback clearly.