Diandra Haye

Key Skills

Software

iMerit

Remotasks

Scale AI

Top Subject Matter

Accounting/Tax Documentation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Document

Text

Image

Top Task Types

Text Summarization

Question Answering

Data Collection

Freelancer Overview

Accounting/Tax Reviewer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI. Education includes Master of Science, University at Buffalo, The State University of New York (2026) and Bachelor of Science, University at Buffalo, The State University of New York (2025). AI-training focus includes data types such as Document and labeling workflows including Evaluation and Rating.

Labeling Experience

Accounting/Tax Reviewer

Scale AIDocument

I conducted quality evaluations and verification of accounting and tax documents produced by artificial intelligence systems. My responsibilities included reviewing AI-generated content to ensure accuracy and providing high-quality data to train AI models for compliance tasks. I collaborated with teams to give feedback, correct errors, and improve the AI's performance. • Evaluated AI-generated accounting and tax documents for accuracy. • Rated and assessed AI outputs for compliance with regulatory requirements. • Provided high-quality labeled data to enhance AI model reliability. • Collaborated with cross-functional teams to support AI algorithm improvement.

I conducted quality evaluations and verification of accounting and tax documents produced by artificial intelligence systems. My responsibilities included reviewing AI-generated content to ensure accuracy and providing high-quality data to train AI models for compliance tasks. I collaborated with teams to give feedback, correct errors, and improve the AI's performance. • Evaluated AI-generated accounting and tax documents for accuracy. • Rated and assessed AI outputs for compliance with regulatory requirements. • Provided high-quality labeled data to enhance AI model reliability. • Collaborated with cross-functional teams to support AI algorithm improvement.

2023 - 2024

Education

Work History