Divish

Key Skills

Software

Mercor

Top Subject Matter

Multimodal AI evaluation

software engineering quality review

technical writing evaluation

Top Data Types

Text

Audio

Document

Top Task Types

RLHF

Entity (NER) Classification

Freelancer Overview

AI Evaluation Specialist (Freelance contract work via Handshake AI, Mercor, Outlier, and Innodata), 2024 to Present.. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor. Education includes Master of Science, University of Toronto (2026) and N/A, Sheridan College (2025). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Retail Associate (Inventory Operations) - Walmart

AudioRLHFEntity (NER) Classification

Managed daily inventory operations in a fast-paced retail environment, including product scanning, labeling, stock organization, and merchandise replenishment. Maintained inventory accuracy by monitoring and resolving discrepancies in stock records. Collaborated with team members to complete operational tasks efficiently while meeting productivity goals. • Organized shelves and replenished merchandise • Conducted inventory discrepancy identification and reporting • Ensured accurate product scanning and labeling • Supported team operations to meet store performance targets

2024 - Present

AI Evaluation Specialist (Freelance contract work via Handshake AI, Mercor, Outlier, and Innodata), 2024 to Present.

MercorText

Evaluated AI-generated responses using detailed project guidelines and quality rubrics across multiple domains. Assessed response quality by comparing outputs for factual accuracy, reasoning quality, instruction following, and consistency. Ranked model responses and provided detailed justifications to improve alignment and evaluation quality. • Evaluated multimodal outputs by comparing text, image, video, and audio-derived responses against rubrics. • Reviewed software engineering answers by comparing multiple coding solutions for correctness, efficiency, code quality, maintainability, and requirements. • Performed technical writing evaluations covering documentation, explanations, API content, and instructional clarity. • Assessed finance-focused responses including business concepts, financial analysis, and quantitative reasoning.

2024 - Present

Education

Work History