Fullstack Developer – AI Applications (GCP)
Build full-stack AI applications on Google Cloud Platform.
Build full-stack AI applications on Google Cloud Platform.
Lead design and deployment of generative AI systems and LLM applications.
Review AI conversations to assess context and improve response quality.
Create and evaluate realistic accounting tasks to train advanced AI systems.
Build billing pipelines and test strategies with Python, SQL and AI integrations.
Create and refine complex business scenarios to enhance AI strategic reasoning.
Analyze GitHub issues and evaluate software quality for LLM training tasks.
Evaluate and improve AI-generated audio by identifying instruments and sound quality.
Evaluate and improve engineering task quality for AI model training.
Train annotators and ensure high-quality data for computer-use agent projects.
Review and label data to ensure quality for AI model training.
Find real vulnerabilities in private repositories and turn them into difficulty-probed cybersecurity tasks for frontier LLMs.
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