Stellenbeschreibung
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
- Upload your resume
- AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role
- 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!
