Black N.

Key Skills

Software

No software listed

Top Subject Matter

Large Language Models

AI Model Evaluation

AI Model Validation

Top Data Types

Text

Image

Document

Top Task Types

Bounding Box

Polygon

Classification

Point/Key Point

Polyline

Object Detection

Cuboid

Question Answering

Text Summarization

Computer Programming/Coding

Prompt + Response Writing (SFT)

Data Collection

Function Calling

Evaluation/Rating

Red Teaming

Text Generation

RLHF

Segmentation

Entity (NER) Classification

Fine-tuning

Transcription

Freelancer Overview

AI Trainer & LLM Evaluation Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and N. Education includes Master of Science, Carnegie Mellon University, School of Computer Science (2024) and Associate of Arts, Gavilan College (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and AI Tutoring.

Labeling Experience

AI Product Development Intern

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As an AI Product Development Intern, I assisted ML engineers in validating AI model performance using various evaluation metrics. I supported dataset curation and automated data collection pipelines for AI model training. I organized and conducted structured user simulations for real-world AI behavior evaluation. • Validated model outputs using precision, recall, F1-score, and AUC-ROC. • Built and maintained pipelines for curation of structured training datasets. • Designed simulated user studies to assess edge cases and adversarial inputs. • Supported documentation and ethical compliance for responsible AI deployment.

2025 - Present

AI Trainer & LLM Evaluation Specialist

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As an AI Trainer & LLM Evaluation Specialist, I applied rubric-based scoring methodologies and annotation frameworks for consistent dataset evaluation. I systematically identified LLM failure modes, documented bias and reliability issues, and produced structured evaluation reports. My work involved refining prompting strategies and providing actionable feedback to improve model outputs and safety. • Conducted rubric-based annotation and consistency checks of LLM outputs. • Identified, classified, and documented hallucinations, biases, and contextual issues. • Delivered comprehensive evaluation reports aligned with AI QA standards. • Provided bias-aware feedback to support iterative model refinement.

2024 - Present

Computer Science & Python Programming Tutor

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As a Computer Science & Python Programming Tutor, I delivered individualized instruction and debugging guidance focused on AI and data processing concepts. I guided students through systematic debugging, data structures, and algorithmic problem-solving. My role reinforced diagnostic, QA, and foundational AI skills through practical teaching. • Tutored 15+ students weekly on programming and data manipulation. • Explained AI and data processing concepts clearly and step-by-step. • Provided algorithmic troubleshooting and quality assurance training. • Coordinated with faculty to align learning objectives and tutoring content.

2022 - 2022

Education

Work History