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Anna Dobosi-Simon

Anna Dobosi-Simon

Finance & Business AI Evaluation & Training Specialist

Hungary flagMany, Hungary
$70.00/hrIntermediateLabelboxMercorMicro1

Key Skills

Software

LabelboxLabelbox
MercorMercor
Micro1
Scale AIScale AI

Top Subject Matter

Strategic Finance & Business Analysis
Risk Analysis & Regulatory Compliance
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument

Top Task Types

Evaluation Rating
Text Summarization
RLHF
Prompt Response Writing SFT

Freelancer Overview

I am a finance domain expert and AI training contributor with 10+ years of experience in financial analysis, FP&A, and investment-related modeling, recently applying this expertise in AI training and evaluation contexts. My work focuses on transforming unstructured financial information into structured, model-ready datasets, defining consistent KPIs, and validating data quality for analytical use. In AI training tasks, I specialize in evaluating model-generated financial outputs for logical consistency, identifying flawed assumptions, and ensuring alignment with real-world business and financial principles. I bring strong analytical judgment, attention to detail, and the ability to work with incomplete or messy data, making complex information reliable and decision-ready for downstream modeling and AI systems. What sets me apart is the combination of deep financial expertise and structured analytical thinking applied to AI evaluation tasks. I bring 10+ years of experience in financial modeling, FP&A, and investment analysis, allowing me to assess not only data accuracy but also the underlying business logic and real-world feasibility of financial outputs. I have hands-on experience evaluating complex, model-driven scenarios, identifying hidden assumptions, inconsistencies, and edge cases that typical data labeling workflows may overlook. My background includes working with multinational financial data (EssilorLuxottica), building driver-based models, and improving forecast accuracy, as well as recent work in AI model evaluation and financial reasoning tasks. Additionally, I hold advanced certifications from the Corporate Finance Institute (FMVA, Investment Banking & Private Equity Modeling, Risk Management), and I am skilled in translating messy, unstructured financial data into consistent, decision-ready datasets. I am particularly strong in KPI definition, data validation, and ensuring alignment between raw data, analytical models, and real-world business outcomes.

IntermediateEnglishHungarian

Labeling Experience

AI Model Evaluation & Training | Domain Expert (Finance & Business)

TextEvaluation Rating
Evaluated AI-generated financial analyses, valuation models, and business scenarios for logical consistency, reasoning quality, and real-world applicability. Identified gaps in assumptions, inconsistencies, and edge cases across complex financial and data-driven outputs. Reviewed and validated structured and unstructured financial data, ensuring alignment between raw inputs, KPIs, and analytical outputs. Contributed to improving the reliability and usability of AI-generated content by refining financial logic and enforcing consistent data interpretation standards.

Evaluated AI-generated financial analyses, valuation models, and business scenarios for logical consistency, reasoning quality, and real-world applicability. Identified gaps in assumptions, inconsistencies, and edge cases across complex financial and data-driven outputs. Reviewed and validated structured and unstructured financial data, ensuring alignment between raw inputs, KPIs, and analytical outputs. Contributed to improving the reliability and usability of AI-generated content by refining financial logic and enforcing consistent data interpretation standards.

2026 - Present

Financial Data Structuring & KPI Standardization | AI-Ready Datasets

TextText Summarization
Transformed unstructured financial data into standardized, analysis-ready datasets, including KPI definitions, time series alignment, and consistent reporting structures. Cleaned, validated, and organized financial information to ensure accuracy and usability for downstream modeling and analytical workflows. Focused on resolving inconsistencies across data sources, aligning financial metrics with business logic, and preparing data for AI-driven applications. Ensured that datasets were internally consistent, comparable across periods, and suitable for reliable decision-making and model input.

Transformed unstructured financial data into standardized, analysis-ready datasets, including KPI definitions, time series alignment, and consistent reporting structures. Cleaned, validated, and organized financial information to ensure accuracy and usability for downstream modeling and analytical workflows. Focused on resolving inconsistencies across data sources, aligning financial metrics with business logic, and preparing data for AI-driven applications. Ensured that datasets were internally consistent, comparable across periods, and suitable for reliable decision-making and model input.

2024 - Present

Education

C

Corporate Finance Institute

Certification, Risk Management Specialization

Certification
2025 - 2026
C

Corporate Finance Institute

Certification, Investment Banking & Private Equity Modeling Specialization

Certification
2025 - 2026

Work History

I

Independent

Regulatory Strategy & Compliance Lead

Budapest
2019 - Present
I

Independent

FP&A Consultant

Budapest
2017 - Present