24-MAG is offering a specialized part-time consulting opportunity for software engineers with strong coding and technical writing skills. The role focuses on supporting AI research collaborations by crafting developer prompts and evaluation materials that assess reasoning quality in coding-related interactions.
Responsibilities:
- Craft realistic developer prompts across multiple categories such as code review, debugging, error diagnosis, configuration, and related engineering tasks
- Source and adapt content from real pull requests to create authentic coding scenarios
- Structure prompts with all necessary context inline, including code snippets, logs, error messages, or requirements
- Write clear, technically accurate model responses that demonstrate strong reasoning and explanation quality
- Contribute to evaluation materials designed to assess natural-language reasoning rather than only executable correctness
- Help create high-quality question-and-answer datasets for coding-related interactions
- Apply software engineering judgment across debugging, testing, and code validation contexts
- Support quality and realism in technical scenarios used for AI evaluation
- Help ensure prompts and responses reflect real-world developer workflows and standards
Requirements:
- 2+ years of experience in software engineering, technical research, or educational content development
- Bachelor's degree or higher in Software Engineering, Computer Science, or a related field
- Strong proficiency in languages such as Python, JavaScript, Java, or C++
- Experience with debugging, testing, and validating code
- Strong technical writing ability and attention to detail
- Ability to communicate software reasoning clearly and accurately
- Advanced degree in Software Engineering, Computer Science, or a related field
- Experience reviewing code or creating technically rigorous engineering content
- Familiarity with real-world developer workflows such as pull requests, debugging, and issue analysis
- Comfort working in structured, research-oriented technical environments
- Ability to produce high-quality outputs in flexible, remote, project-based settings