The Vas Channel
@thevaschannel
AI safety and misinformation evaluator focused on ethical, bias-aware LLM output assessment.
What I'm looking for
I’m an analytically trained professional with a Political Science background and hands-on AI experience, focused on AI model evaluation through the lens of trust, safety, and ethical reasoning. I recognize bias and harmful content, and I bring rigorous, impartial assessment practices to help teams understand where AI outputs go wrong.
I apply structured evaluation rubrics to rate AI responses on factual correctness, tone, safety, and relevance. I also identify and document edge cases where outputs are misleading, harmful, or biased—then provide written justifications and recommended corrections, including structured annotation and harm assessment. Beyond evaluation, I’ve supported fact-checking workflows by assessing reliability of market and financial content for AI safety annotation.
Experience
Work history, roles, and key accomplishments
Independent Researcher & Analyst
Self-Employed
Jan 2023 - Present (3 years 4 months)
Applied structured valuation rubrics to evaluate AI responses for factual correctness, tone, safety, and relevance, documenting edge cases with justifications and recommended fixes. Conducted research and evaluation of AI model behavior, safety risks, content moderation practices, and misinformation/fact-checking workflows for AI safety annotation.
Education
Degrees, certifications, and relevant coursework
McMaster University
Bachelor of Political Science, Political Science
Earned a degree in political science with training in ideology and information/media content directly applicable to AI safety evaluation.
Availability
Location
Authorized to work in
Website
webtec.guruJob categories
Skills
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