Finance Domain Contributor – Outlier (Aether Project)
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Evaluated AI-generated responses in the finance and accounting domain for accuracy and professional quality. Conducted model evaluation tasks such as rating, ranking, and assessing the accuracy, completeness, and domain correctness of financial outputs. Applied structured rubrics to rate helpfulness and provide detailed feedback on AI-generated financial content.
• Reviewed outputs related to budgeting, forecasting, IFRS, and financial reporting.
• Detected logical errors and hallucinated data in model answers concerning financial metrics.
• Produced prompts and reference answers to train AI models on finance topics.
• Ensured high standards for accuracy, reasoning, and output relevance in dataset creation.
Evaluated AI-generated responses in the finance and accounting domain for accuracy and professional quality. Conducted model evaluation tasks such as rating, ranking, and assessing the accuracy, completeness, and domain correctness of financial outputs. Applied structured rubrics to rate helpfulness and provide detailed feedback on AI-generated financial content. • Reviewed outputs related to budgeting, forecasting, IFRS, and financial reporting. • Detected logical errors and hallucinated data in model answers concerning financial metrics. • Produced prompts and reference answers to train AI models on finance topics. • Ensured high standards for accuracy, reasoning, and output relevance in dataset creation.
2023 - 2024