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Moseti Mayega

Freelance Computer Science Student - LLM Data Annotator & Evaluator

USA flagUsa
ExpertOther

Key Skills

Software

Other

Top Subject Matter

AI/Natural Language Processing
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

Prompt Response Writing SFT

Freelancer Overview

Freelance Computer Science Student - LLM Data Annotator & Evaluator. Core strengths include Other. Education includes Bachelor of Science, University of North Carolina at Charlotte (2028) and Certificate, Charlotte Community College (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Expert

Labeling Experience

AI Conversation Evaluator & Prompt Specialist - Project Horizon

OtherText
As an AI Conversation Evaluator & Prompt Specialist for Project Horizon, I designed multi-turn scenarios to assess and optimize language model outputs. My work included evaluating contextual retention, reasoning consistency, and instruction-following for AI-generated content in various domains. I documented structured reports with actionable improvement recommendations and provided comparative analysis for alternative model responses. • Employed adversarial testing strategies for edge case exposure. • Analyzed model performance in academic, professional, and customer settings. • Identified subtle failure modes like context drift and emotional miscalibration. • Ensured real-world applicability through robust scenario design.

As an AI Conversation Evaluator & Prompt Specialist for Project Horizon, I designed multi-turn scenarios to assess and optimize language model outputs. My work included evaluating contextual retention, reasoning consistency, and instruction-following for AI-generated content in various domains. I documented structured reports with actionable improvement recommendations and provided comparative analysis for alternative model responses. • Employed adversarial testing strategies for edge case exposure. • Analyzed model performance in academic, professional, and customer settings. • Identified subtle failure modes like context drift and emotional miscalibration. • Ensured real-world applicability through robust scenario design.

2025 - Present

Prompt Evaluator / AI Trainer - Project Aether

OtherTextPrompt Response Writing SFT
As a Prompt Evaluator and AI Trainer for Project Aether, I designed, tested, and refined prompts to enhance LLM performance and accuracy. I evaluated AI-generated outputs for correctness, conducted QA reviews, and provided actionable feedback for training improvements. My critical thinking and structured reasoning contributed to high-quality, consistent data labeling in natural language processing workflows. • Maintained annotation guideline compliance across all prompts. • Collaborated with multi-disciplinary teams for optimal model alignment. • Identified, reported, and resolved logical and factual model errors. • Analyzed trends to improve training datasets and frameworks.

As a Prompt Evaluator and AI Trainer for Project Aether, I designed, tested, and refined prompts to enhance LLM performance and accuracy. I evaluated AI-generated outputs for correctness, conducted QA reviews, and provided actionable feedback for training improvements. My critical thinking and structured reasoning contributed to high-quality, consistent data labeling in natural language processing workflows. • Maintained annotation guideline compliance across all prompts. • Collaborated with multi-disciplinary teams for optimal model alignment. • Identified, reported, and resolved logical and factual model errors. • Analyzed trends to improve training datasets and frameworks.

2025 - Present

Freelance Computer Science Student - LLM Data Annotator & Evaluator

OtherText
As a Freelance Computer Science Student, I evaluated and validated large language model outputs for accuracy and consistency with project guidelines. My responsibilities included comparative analysis, critical assessment, and detailed feedback on complex prompts across diverse domains. I executed high-quality data annotation and labeling tasks, ensuring compliance with project standards and dataset integrity. • Maintained strict evaluation scoring criteria. • Applied structured reasoning and logical assessment on diverse data. • Identified hallucinations, biases, and factual inconsistencies for model improvement. • Supported supervised and reinforcement learning workflows through rigorous annotation.

As a Freelance Computer Science Student, I evaluated and validated large language model outputs for accuracy and consistency with project guidelines. My responsibilities included comparative analysis, critical assessment, and detailed feedback on complex prompts across diverse domains. I executed high-quality data annotation and labeling tasks, ensuring compliance with project standards and dataset integrity. • Maintained strict evaluation scoring criteria. • Applied structured reasoning and logical assessment on diverse data. • Identified hallucinations, biases, and factual inconsistencies for model improvement. • Supported supervised and reinforcement learning workflows through rigorous annotation.

2024 - Present

AI Data Annotator - Handshake AI (Project Hedgehog)

OtherText
At Handshake AI for Project Hedgehog, I evaluated and validated LLM outputs for accuracy, logical consistency, and adherence to guidelines. I performed comparative analyses and applied reasoning skills across logic, mathematics, and language comprehension tasks. My work identified hallucinations, biases, and inconsistencies, offering actionable feedback to improve model behavior. • Conducted rigorous selection of optimal AI responses. • Delivered comprehensive feedback on model errors. • Reviewed outputs for complex task domains. • Enhanced dataset quality through stringent annotation reviews.

At Handshake AI for Project Hedgehog, I evaluated and validated LLM outputs for accuracy, logical consistency, and adherence to guidelines. I performed comparative analyses and applied reasoning skills across logic, mathematics, and language comprehension tasks. My work identified hallucinations, biases, and inconsistencies, offering actionable feedback to improve model behavior. • Conducted rigorous selection of optimal AI responses. • Delivered comprehensive feedback on model errors. • Reviewed outputs for complex task domains. • Enhanced dataset quality through stringent annotation reviews.

2025 - 2026

Education

U

University of North Carolina at Charlotte

Bachelor of Science, Computer Science

Bachelor of Science
2024 - 2028
C

Charlotte Community College

Certificate, Artificial Intelligence

Certificate
2025 - 2025

Work History

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