Tara M.

Key Skills

Software

Data Annotation Tech

Top Subject Matter

AI bookkeeping

financial model evaluation

double-entry bookkeeping

Top Data Types

Text

Document

Top Task Types

Entity (NER) Classification

Freelancer Overview

AI Bookkeeping & Financial Model Trainer at Data Annotation Tech (Remote). Brings 16+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation Tech. Education includes General Educational Development (GED), General Educational Development (GED) (2009). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Named Entity Recognition.

Labeling Experience

AI Bookkeeping & Financial Model Trainer at Data Annotation Tech (Remote)

Data Annotation TechText

Evaluated AI-generated responses and optimized specialized conversational model outputs related to double-entry bookkeeping and financial data accuracy. Audited prompts and ledger data for compliance with standard financial practices and QuickBooks workflows under tight deadlines. Delivered written feedback and corrections to help the system recognize math and accounting discrepancies more reliably. • Reviewed conversational AI outputs for bookkeeping correctness, tax-related query handling, and financial accuracy • Audited financial prompts and AI-generated ledger data against expected QuickBooks workflows • Provided high-quality written feedback including corrections for math and accounting discrepancies • Performed evaluation/quality-check cycles to improve model performance over time

2024 - Present

AI Bookkeeping and Financial Model Trainer - Data Annotation Tech

Entity (NER) Classification

Evaluated and optimized AI model responses related to bookkeeping concepts, tax questions, and financial data accuracy. Audited AI-generated prompt and ledger outputs to ensure compliance with double-entry bookkeeping standards and QuickBooks workflows under tight deadlines. Provided detailed written feedback and corrections to support machine learning improvement. • Reviewed accounting and tax-related outputs for accuracy and consistency • Ensured ledger data followed standard financial and QuickBooks conventions • Produced high-quality written corrections for model training • Worked under strict turnaround times to meet compliance requirements

2024 - 2024

Education

Work History