Kyaza

Key Skills

Software

Micro1

Mercor

Data Annotation Tech

Top Subject Matter

AI model evaluation and rubric-based quality assurance

Generalist AI training and rubric-based model evaluation

AI model evaluation and rubric-based training QA

Top Data Types

Text

Document

Top Task Types

Evaluation/Rating

RLHF

Prompt + Response Writing (SFT)

Question Answering

Text Summarization

Text Generation

Transcription

Classification

Entity (NER) Classification

Data Collection

Red Teaming

Freelancer Overview

Micro1 – AI Trainer – Peer Reviewer. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Contracted platforms include Micro1, Mercor, and Data Annotation. Education includes Doctor of Philosophy, Arizona State University (2027) and Master of Arts, Appalachian State University (2020). AI-training focus includes broad spectrum data annotation tasks (sans coding) and independent development of theoretical model of runtime interface complete with security protocols in need of red-team testing.

Labeling Experience

Data Annotation – AI Trainer – Generalist

Text

Performed AI training and model evaluation using multi-dimensional rubrics. Used procedural judgment to identify model overreach and factual errors as well as insufficient or nonresponsive outputs. Assessed whether outputs exceeded or failed prompt constraints and other specified requirements. • Identified model overreach and hallucination-style factual issues. • Flagged insufficient responses and poor coverage of requested content. • Checked for compliance with prompt and constraint requirements. • Applied multi-dimensional rubric standards to evaluation decisions.

2026

Mercor – AI Trainer – Generalist

MercorText

Completed generalist AI training and model evaluation tasks within confidential client workflows. Followed project-specific instructions while applying rubric criteria and conducting factual accuracy checks. Ensured outputs met procedural compliance standards for consistent evaluation performance. • Applied multi-step project instructions to evaluation tasks. • Used rubric criteria to assess response quality and correctness. • Performed factual accuracy checks to flag errors. • Followed procedural compliance requirements across confidential workflows.

2026

Micro1 – AI Trainer – Peer Reviewer

Micro1Text

Served as an AI Trainer and Peer Reviewer, reviewing AI evaluation work for compliance with project guidelines. Applied rubric-based scoring instructions and evaluated the quality and rationale of reviewer outputs. Built and maintained an internal peer review comment bank to standardize rubric-aligned feedback across confidential evaluation workflows. • Reviewed outputs for instruction-following gaps and rubric alignment. • Applied scoring criteria consistently to detect rationale-quality issues. • Detected improper use of AI for task completion. • Supported procedural alignment within secure evaluation processes.

2026

Education

Work History