Advance AI-assisted application development by building high-quality datasets, frameworks, and benchmarks that enhance automation and software reliability.
Requirements
- 5+ years of full-stack enterprise application development (front-end, back-end, APIs, databases).
- Strong understanding of LLMs and AI-assisted coding workflows.
- Experience designing technical rubrics and evaluation frameworks.
- Experience with AI dataset creation or benchmarking for software automation.
Responsibilities
- Develop and evaluate full-stack applications for AI-assisted app generation.
- Design technical rubrics and benchmarking systems for AI-generated code.
- Analyze AI outputs and provide actionable improvement feedback.
- Document technical best practices and communicate findings clearly.
Other
- Collaborate with cross-functional teams to define workflows and requirements.
- Excellent analytical, communication, and problem-solving skills.
- Proven ability to work collaboratively in remote, fast-paced environments.
- Background in product consulting or business-process analysis.
