AI Training Specialist - Software Engineering
Computer Code Programming
RLHFI handled specialized data labeling and annotation aimed directly at training code generation models. My day-to-day involved digging into user prompts and auditing the syntax, security, and efficiency of AI-generated snippets across Python, JavaScript, and SQL. Instead of just surface-level reviews, I spent time tagging codebase bugs, writing high-quality ground-truth solutions from scratch, and mapping out complex programming logic. To keep data quality high, I didn't just take code at face value—I cross-checked the actual execution outputs and made sure everything cleared strict linting and performance benchmarks before moving it down the pipeline.
2017 - Present