This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. ### About the Project This evaluation dataset is code question and answer data. This data is designed to assess natural-language reasoning, explanation quality, and technical judgment in coding-related interactions, rather than executable correctness. Tasks are structured as chat-pasteable prompts that reflect realistic developer questions and include all necessary context inline (e.g., code snippets, error messages, logs, or requirements) ### Key Responsibilities - Craft realistic developer prompts across multiple categories (code review, debugging, error diagnosis, configuration, and more) - Source and adapt content from real PRs to create authentic scenarios - Write clear, technically accurate model responses that demonstrate strong reasoning and explanation quality ### Ideal Qualifications - 2+ years of experience in software engineering, technical research, or educational content development - Degree in Software Engineering, Computer Science, or a related field (Bachelor’s minimum; advanced degree preferred) - Strong proficiency in languages like Python, JavaScript, Java, or C++ - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail ### Project Timeline -
Remote Software Engineer Code QA AI Trainer 70120 per hour • Springfield, Missouri, US