Software Engineer – AI Code Evaluation

Gramian Consulting

. Evaluate AI-generated code for functional correctness, code quality, maintainability, and sound software design.

Posted 10/14/2026contractRemote • United States, Canada, United Kingdom, Australia, New ZealandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong programming fundamentals and analytical thinking to evaluate AI-generated code for correctness and quality. Capable of providing clear technical feedback and creating comprehensive test cases to enhance AI model performance.

Highest-signal resume keywords

Data ScienceSoftware EngineeringCode EvaluationAnalytical ThinkingTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ProgrammingSoftware DesignDebuggingAlgorithm AssessmentTest Case CreationCode Quality EvaluationLogical Error IdentificationSystem Design

Soft Skills

Analytical ThinkingTechnical Feedback Communication

Industry Keywords

TechnologyFinanceResearch

About the role

Key responsibilities & impact

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

What you’ll need

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.