Shanice Queenan

Key Skills

Software

Mindrift

Scale AI

Top Subject Matter

Mathematical Reasoning

Formal Logic

Python Code Verification

Top Data Types

Text

Computer Code Programming

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

AI Data Annotation Specialist (Outlier AI, Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Mindrift. Education includes Doctor of Philosophy, University of Virginia (2022) and Master of Science, Virginia Tech (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

AI Training Contributor (Mindrift, Alignerr)

MindriftPrompt Response Writing SFT

Designed computational problems and prompts requiring mathematical reasoning and Python code verification for AI training. Evaluated and provided feedback on AI responses versus gold standard solutions in advanced mathematical domains. Collaborated on refining annotation and evaluation protocols to bolster AI reasoning and correctness. • Produced 50+ original prompts for model training • Reviewed and scored responses for advanced mathematics • Documented annotation edge cases and rubric adjustments • Worked via Mindrift (Alignerr) internal tools

Designed computational problems and prompts requiring mathematical reasoning and Python code verification for AI training. Evaluated and provided feedback on AI responses versus gold standard solutions in advanced mathematical domains. Collaborated on refining annotation and evaluation protocols to bolster AI reasoning and correctness. • Produced 50+ original prompts for model training • Reviewed and scored responses for advanced mathematics • Documented annotation edge cases and rubric adjustments • Worked via Mindrift (Alignerr) internal tools

2024 - Present

AI Data Annotation Specialist (Outlier AI, Remote)

Text

Evaluated and scored AI-generated responses for mathematical accuracy, logical coherence, and structural clarity. Performed QA peer reviews and provided detailed feedback to enhance annotation quality. Identified failure modes and edge cases in mathematical AI outputs for model improvement. • Annotated 500+ responses and conducted over 100 peer reviews • Maintained 95%+ quality consistency rating • Designed gold standard mathematical prompts • Utilized proprietary platforms for annotation and review

Evaluated and scored AI-generated responses for mathematical accuracy, logical coherence, and structural clarity. Performed QA peer reviews and provided detailed feedback to enhance annotation quality. Identified failure modes and edge cases in mathematical AI outputs for model improvement. • Annotated 500+ responses and conducted over 100 peer reviews • Maintained 95%+ quality consistency rating • Designed gold standard mathematical prompts • Utilized proprietary platforms for annotation and review

2024 - Present

Education

Work History