Data Annotation & Evaluation Specialist, ML Pipeline Suite
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Designed and executed dataset validation and model evaluation protocols directly related to RLHF annotation processes. Built automated pipelines to detect and flag labeling inconsistencies, duplicate samples, and class imbalances in annotated corpora. Maintained detailed logs and developed structured evaluation rubrics analogous to preference annotation and RLHF scoring.
• Applied pattern recognition to target annotation errors for correction workflows.
• Standardized and cleaned JSON/CSV datasets prior to ML model preprocessing.
• Documented label distributions and annotation decisions for reproducibility.
• Executed solo ML benchmarking on 5,000+ annotated samples.
Designed and executed dataset validation and model evaluation protocols directly related to RLHF annotation processes. Built automated pipelines to detect and flag labeling inconsistencies, duplicate samples, and class imbalances in annotated corpora. Maintained detailed logs and developed structured evaluation rubrics analogous to preference annotation and RLHF scoring. • Applied pattern recognition to target annotation errors for correction workflows. • Standardized and cleaned JSON/CSV datasets prior to ML model preprocessing. • Documented label distributions and annotation decisions for reproducibility. • Executed solo ML benchmarking on 5,000+ annotated samples.
2025 - 2025