AI Engineer with 6+ years of experience building, evaluating, and improving production-grade AI and LLM systems, with deep hands-on expertise in AI output evaluation, data annotation, model quality assessment, and content moderation at scale.
Proven ability to annotate and label complex datasets across text, code, and structured formats according to detailed project guidelines, evaluate and rate AI-generated responses for quality, accuracy, relevance, and safety, and provide consistent, reliable output that directly improves model training pipelines and evaluation benchmarks. Strong written English, exceptional attention to detail, and a demonstrated ability to follow complex annotation instructions with high consistency across extended projects. Self-motivated, reliable, and experienced working independently in fully remote environments with flexible availability to accommodate project timelines and deliverable deadlines. Passionate about advancing AI systems through rigorous, high-quality evaluation and annotation work that translates directly into measurable improvements in model reliability and output quality.
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