Qa [h1.location_city]

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 -

• Start Date :
• Immediate -
• Duration :
• 1-2 months -
• Commitment :
• Part-time (15–25 hours / week, with flexibility up to 40 hours / week) ### Application & Onboarding Process 1. Upload your resume 2. AI interview : A short, 15-minute conversational session to understand your background, experience, and interest in the role 3. Follow-up communication within a few days with next steps and onboarding details
• Apply today
• and leverage your software engineering expertise to help build the future of AI-driven systems!