
Gramian Consulting is a remote-first consulting firm focused on engineering, data, and AI talent. It helps organizations expand technical capacity through talent augmentation, recruiting, dedicated teams, and contractor management, while providing services such as LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure. The firm also supports individual career development through mentorship and education programs covering career readiness, interview preparation, and international market orientation. Its work combines hands-on engineering and recruiting experience to help clients build technical teams and apply AI to business needs.
Remote Software Engineer, AI Code Evaluation
Evaluate AI-generated code, architecture, and reasoning for Gramian Consulting. Develop coding challenges and feedback to help improve AI models.
Description
- Assess AI-generated code for correctness, quality, maintainability, and sound design.
- Develop challenging coding problems, verified reference solutions, and thorough test cases.
- Review AI reasoning on architecture, debugging, algorithms, and system design.
- Spot logical errors, inefficient implementations, edge cases, and architectural weaknesses.
- Write detailed technical feedback and explanations to improve model performance.
- Use consistent criteria to deliver accurate, reliable assessments.
Requirements
- Bring at least three years of professional experience in data science or software engineering.
- Have at least one year of professional experience at a leading technology, finance, or research company.
- Hold 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.
- Demonstrate strong programming and software engineering fundamentals.
- Be able to assess code correctness, find bugs, and evaluate software design decisions.
- Apply strong analytical thinking to complex technical problems.
- Write excellent English and communicate technical feedback clearly.