Available to hire
AI Model Evaluator with 6+ years of remote experience supporting LLM training, RLHF, prompt evaluation, response ranking, data annotation, and software engineering review. I assess AI outputs for reasoning quality, factuality, safety, instruction following, and code correctness, with strong attention to detail and consistent high-quality results in asynchronous, guideline-driven environments.
I combine a background in Computer Science, Cybersecurity, and Software Engineering with strong Python/SQL debugging and analytical skills to produce structured feedback, reference answers, and QA checks that help improve model performance and reliability.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Language
Work Experience
Technical AI Researcher & Content Writer
January 1, 2020 - PresentResearch emerging AI technologies, LLM capabilities, and evaluation methodologies. Produce technical documentation and educational AI content to support learning and adoption of best practices in AI evaluation.
Software Engineering Reviewer
January 1, 2020 - PresentReview Python and SQL code for correctness, maintainability, edge cases, efficiency, and security. Evaluate AI-generated code explanations and debugging workflows. Assess algorithms, data structures, APIs, and software design decisions to ensure technical soundness and secure, reliable implementation.
Data Annotation Specialist
January 1, 2019 - PresentAnnotate text, code, and structured datasets for machine learning projects. Perform quality audits and ensure compliance with annotation guidelines. Support taxonomy development and maintain dataset consistency across projects.
Remote AI Trainer & AI Model Evaluator
January 1, 2019 - PresentEvaluate AI-generated responses across coding, mathematics, reasoning, cybersecurity, writing, and general knowledge. Rank multiple model outputs using detailed rubrics and RLHF-style evaluation criteria. Detect hallucinations, logical inconsistencies, factual inaccuracies, unsafe responses, and formatting issues. Create reference answers and structured feedback used to improve large language model performance. Work independently in remote, guideline-driven environments while maintaining strong attention to detail.
Education
Qualifications
Master's Degree in Computer Science - Cybersecurity
January 1, 2017 - January 1, 2018Bachelor's Degree in Computer Science - Software Engineering
January 1, 2013 - January 1, 2016Industry Experience
Software & Internet, Professional Services, Education, Computers & Electronics
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
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