AI Trainer/ Prompt Engineer - Meridial Invisible Technologies
Prompt engineering and response moderation for generative LLM.
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AI Data Annotator (Contract/Remote), Outlier – Aether Project. Brings 1 year of detail-oriented AI Data Annotation with strong experience in content evaluation, data labeling, and policy-based moderation. Skilled in following complex annotation guidelines, ensuring high accuracy, and maintaining consistency across large datasets. Adept at supporting machine learning models through high-quality human feedback.
Prompt engineering and response moderation for generative LLM.
As an AI Data Annotator on the Aether Project, I labeled and annotated text data to support AI model training according to detailed project guidelines. I ensured consistency and high accuracy by rigorously following instruction updates while completing large volumes of annotation tasks. My responsibilities also included reviewing and rating AI-generated responses for safety, policy compliance, and accuracy. • Labeled and reviewed textual data for machine learning purposes • Flagged and categorized misinformation, harmful, or biased content • Completed quality assurance tasks to minimize labeling errors • Applied QA feedback to improve annotation accuracy
Master of Science, Environmental Chemistry
Diploma, Environmental Quality Monitoring and Analysis
Graduate Research Assistant
Assistant Environmental Analyst