Full-Stack Application - AI trainer
Required Skills
Full-Stack Application Development
Enterprise Application
AI-Assisted Code Evaluation
LLM
Technical Rubric Design
Benchmarking Analysis
Job Description
Job Title: Full-Stack Application - AI trainer
Job Type: Full-time
Location: Remote
Job Summary
Join our customer's team as a Full-Stack Application - AI trainer and play a pivotal role in advancing enterprise-grade, AI-assisted application development. You will harness your expertise in full-stack technologies, AI evaluation, and business-process definition to shape high-quality datasets and frameworks that improve software automation and reliability.
Key Responsibilities
- Develop, evaluate, and improve enterprise-scale full-stack applications to support AI-assisted app generation.
- Design and implement technical rubrics and benchmarking processes for AI code assessment using large language models (LLMs).
- Collaborate with cross-functional teams to define business workflows and realistic user requirements during dataset creation.
- Analyze application performance and AI-generated outputs, providing actionable feedback for continuous system improvement.
- Document and communicate complex technical concepts, best practices, and evaluation results clearly to both developers and non-technical stakeholders.
- Identify and prioritize opportunities for enhancing AI effectiveness in enterprise application scenarios.
- Contribute to the development of standards and guidelines for scalable, high-quality AI training within product engineering teams.
Required Skills and Qualifications
- Senior-level experience in full-stack enterprise application development (front-end, back-end, databases, APIs).
- Demonstrated ability to design, evaluate, and benchmark AI-assisted coding solutions and workflows.
- In-depth knowledge of large language models (LLMs) and their application in software development contexts.
- Experience in technical rubric design and building robust benchmarking frameworks.
- Strong written and verbal communication skills, with an ability to translate technical insights into actionable guidance.
- Analytical mindset with hands-on experience in business-process mapping or product consulting for enterprise applications.
- Proven track record of collaborating within cross-functional teams in remote, fast-paced environments.
Preferred Qualifications
- Background in product consulting, business-process analysis, or requirements gathering for enterprise solutions.
- Experience with AI training dataset design for software automation or application generators.
- Familiarity with industry-standard enterprise app gen tools and platforms.