Susan Simeon

Key Skills

Software

Mindrift

Top Subject Matter

Large Language Models

Natural Language Processing

Text Generation

Top Data Types

Text

Top Task Types

No task types listed

Freelancer Overview

AI Training Contributor. Brings 3 months of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mindrift and uTest. Education includes Bachelor of Science, Rivers State University (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Software and AI Tester

Text

At uTest, I tested and evaluated software products, performing model output reviews and usability feedback related to AI systems. My work included logging structured bug reports and written qualitative analysis on UI and interaction flows. I consistently met output quality standards in rigorous remote cycles. • Performed detailed model output evaluations and textual feedback • Executed user interface and usability assessments involving annotation • Utilized uTest platform tools for structured bug and AI output reporting • Maintained annotation consistency and report accuracy across batches.

At uTest, I tested and evaluated software products, performing model output reviews and usability feedback related to AI systems. My work included logging structured bug reports and written qualitative analysis on UI and interaction flows. I consistently met output quality standards in rigorous remote cycles. • Performed detailed model output evaluations and textual feedback • Executed user interface and usability assessments involving annotation • Utilized uTest platform tools for structured bug and AI output reporting • Maintained annotation consistency and report accuracy across batches.

2024 - Present

AI Training Contributor

MindriftText

As an AI Training Contributor with Mindrift, I performed text evaluation, preference ranking, and prompt response assessment for LLM pipelines. I followed structured annotation guidelines to evaluate outputs for accuracy, helpfulness, tone, and safety. My work maintained high acceptance rates and compliance with quality benchmarks. • Executed annotation of LLM-generated text for various evaluation metrics • Applied RLHF-style evaluations and prompt response ranking • Used Mindrift’s platform for annotation tasks under strict guidelines • Delivered high-volume, consistent, and accurate text feedback.

As an AI Training Contributor with Mindrift, I performed text evaluation, preference ranking, and prompt response assessment for LLM pipelines. I followed structured annotation guidelines to evaluate outputs for accuracy, helpfulness, tone, and safety. My work maintained high acceptance rates and compliance with quality benchmarks. • Executed annotation of LLM-generated text for various evaluation metrics • Applied RLHF-style evaluations and prompt response ranking • Used Mindrift’s platform for annotation tasks under strict guidelines • Delivered high-volume, consistent, and accurate text feedback.

2024 - Present

Education

Work History