AI Data Quality/Evaluation (Pension Fund Accountant, Capita)
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Oversaw review and validation of large financial datasets, emulating data quality procedures central to AI model training and evaluation tasks. Ensured strict guideline adherence and objective feedback to enhance data accuracy for AI model development. Applied advanced reasoning and anomaly detection to maintain high-quality outputs for AI workflows.
• Provided expert judgment on pension data queries using structured frameworks.
• Reviewed outputs for precision and consistency, emphasizing data integrity for training and evaluation.
• Utilized domain expertise in finance to assess dataset alignment and regulatory compliance.
• Demonstrated objectivity and high productivity under remote, accuracy-driven conditions.
Oversaw review and validation of large financial datasets, emulating data quality procedures central to AI model training and evaluation tasks. Ensured strict guideline adherence and objective feedback to enhance data accuracy for AI model development. Applied advanced reasoning and anomaly detection to maintain high-quality outputs for AI workflows. • Provided expert judgment on pension data queries using structured frameworks. • Reviewed outputs for precision and consistency, emphasizing data integrity for training and evaluation. • Utilized domain expertise in finance to assess dataset alignment and regulatory compliance. • Demonstrated objectivity and high productivity under remote, accuracy-driven conditions.
2022 - Present