Christopher Kee

Key Skills

Software

Other

Mercor

Top Subject Matter

AI Logic and QA

General/Multidomain Text Data

General AI Content Evaluation

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Trainer. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Mercor. Education includes Bachelor of Science, University of Arkansas, Fayetteville (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Rater

OtherText

As an AI Data Rater at RWS, I reviewed AI-generated content for correctness and relevance based on project guidelines. I reported findings and made recommendations to improve AI model outputs consistently. I developed repeatable error reporting processes to streamline feedback and team workflows. • Reviewed AI content for correctness and adherence • Provided recommendations for output quality • Tracked tasks to meet all project deadlines • Developed error reporting and feedback processes.

As an AI Data Rater at RWS, I reviewed AI-generated content for correctness and relevance based on project guidelines. I reported findings and made recommendations to improve AI model outputs consistently. I developed repeatable error reporting processes to streamline feedback and team workflows. • Reviewed AI content for correctness and adherence • Provided recommendations for output quality • Tracked tasks to meet all project deadlines • Developed error reporting and feedback processes.

2024 - Present

Data Annotation Specialist

MercorTextClassification

As a Data Annotation Specialist at Mercor, I performed large-scale data labeling projects with strict adherence to guidelines and accuracy. I ensured consistency across multiple datasets while collaborating with QA teams to resolve discrepancies. My documentation of errors and data trends helped enhance the efficiency and quality of AI training data. • Executed large-scale classification and annotation • Resolved dataset discrepancies with QA teams • Documented errors and inconsistencies for process improvement • Enhanced annotation efficiency through data-driven analysis.

As a Data Annotation Specialist at Mercor, I performed large-scale data labeling projects with strict adherence to guidelines and accuracy. I ensured consistency across multiple datasets while collaborating with QA teams to resolve discrepancies. My documentation of errors and data trends helped enhance the efficiency and quality of AI training data. • Executed large-scale classification and annotation • Resolved dataset discrepancies with QA teams • Documented errors and inconsistencies for process improvement • Enhanced annotation efficiency through data-driven analysis.

2022 - 2024

AI Trainer

OtherText

As an AI Trainer at Outlier AI, I evaluated AI-generated outputs for logical accuracy, completeness, and operational alignment. I identified reasoning errors and edge cases, providing structured feedback to improve model performance. I consistently maintained quality in high-volume annotation and review tasks over the course of my tenure. • Evaluated outputs for logical and scenario-based accuracy • Provided structured feedback to improve AI reasoning • Collaborated on prompt and workflow improvements • Managed high-volume annotation and review processes.

As an AI Trainer at Outlier AI, I evaluated AI-generated outputs for logical accuracy, completeness, and operational alignment. I identified reasoning errors and edge cases, providing structured feedback to improve model performance. I consistently maintained quality in high-volume annotation and review tasks over the course of my tenure. • Evaluated outputs for logical and scenario-based accuracy • Provided structured feedback to improve AI reasoning • Collaborated on prompt and workflow improvements • Managed high-volume annotation and review processes.

2020 - 2022

Education

Work History