Fellowship
Data annotation and evaluation rating work in text to image compare scenarios. Completed rubric creation based taskwok as well.
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AI Data Annotation Contractor — Outlier (Remote). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Associate’s Degree, Southern Virginia Higher Education Center (2013). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.
Data annotation and evaluation rating work in text to image compare scenarios. Completed rubric creation based taskwok as well.
Trained AI models by annotating, validating, and scoring data to support downstream fine-tuning. Analyzed model outputs and provided corrective feedback to improve model performance and reliability. Ensured high-quality, guideline-compliant labeled datasets through careful review and attention to detail. • Annotated and validated training data across multiple domains • Scored data and/or outputs according to labeling guidelines • Reviewed results for consistency and correctness • Supplied corrective feedback for model fine-tuning
Associate’s Degree, General Studies
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