Cooper Bennett

Key Skills

Software

Labelbox

Top Subject Matter

Large Language Model Evaluation

Linguistic Quality Assurance for AI

NLP Data Annotation and AI Training

Top Data Types

Text

Video

Audio

Top Task Types

Question Answering

Point Key Point

Segmentation

Bounding Box

Freelancer Overview

I have over four years of experience in AI training data, data annotation and data labeling, specializing in improving large language model (LLM) performance through prompt engineering, response evaluation and quality assurance workflows. My work includes writing and validating Q&A pairs, evaluating AI-generated content for accuracy, logical reasoning and instruction-following and performing response ranking to support machine learning model training and optimization. I have experience reviewing SQL queries and structured data for correctness, identifying hallucinations and inconsistencies and ensuring high-quality datasets for NLP and AI systems. I’ve worked on projects involving text, audio and multimodal data annotation with platforms like Turing and OneForma, consistently following guideline-based annotation standards in fast-paced environments. With a background in computer science and linguistics, I bring strong analytical thinking, attention to detail and expertise in natural language processing (NLP), AI model evaluation, data quality control and scalable annotation processes.

Labeling Experience

AI Language Model Evaluator

Text

As an AI Language Model Evaluator at Turing, I wrote and validated Q&A pairs to support large language model training and evaluation. My work included evaluating AI-generated answers for correctness, logical reasoning, and instruction-following through guideline-based annotation. I also reviewed outputs in coding, SQL, and reasoning tasks, documenting errors and inconsistencies. • Created and reviewed structured question-answer datasets. • Rated and ranked AI-generated responses for accuracy and logic. • Performed detailed analysis of model hallucinations and guideline adherence. • Used structured annotation workflows for reinforcement learning dataset improvement.

As an AI Language Model Evaluator at Turing, I wrote and validated Q&A pairs to support large language model training and evaluation. My work included evaluating AI-generated answers for correctness, logical reasoning, and instruction-following through guideline-based annotation. I also reviewed outputs in coding, SQL, and reasoning tasks, documenting errors and inconsistencies. • Created and reviewed structured question-answer datasets. • Rated and ranked AI-generated responses for accuracy and logic. • Performed detailed analysis of model hallucinations and guideline adherence. • Used structured annotation workflows for reinforcement learning dataset improvement.

2023 - Present

Data Annotation Specialist (NLP-Focused Projects) | Freelance

OtherTextQuestion Answering

As a Freelance Data Annotation Specialist for NLP-focused projects, I contributed to AI training by writing Q&A pairs, validating prompts, and cleaning up datasets. I verified the semantic accuracy and logical consistency of AI-generated responses, providing structured feedback. My tasks also included multimodal annotation such as text, audio, and video data labeling for comprehensive AI training datasets. • Created and evaluated Q&A pairs and prompts for language models. • Rated instruction compliance and flagged incorrect outputs. • Labeled multimodal data including audio and video content for training. • Ensured datasets met quality and accuracy standards for AI model development.

As a Freelance Data Annotation Specialist for NLP-focused projects, I contributed to AI training by writing Q&A pairs, validating prompts, and cleaning up datasets. I verified the semantic accuracy and logical consistency of AI-generated responses, providing structured feedback. My tasks also included multimodal annotation such as text, audio, and video data labeling for comprehensive AI training datasets. • Created and evaluated Q&A pairs and prompts for language models. • Rated instruction compliance and flagged incorrect outputs. • Labeled multimodal data including audio and video content for training. • Ensured datasets met quality and accuracy standards for AI model development.

2019 - Present

Linguistic Quality Assurance Specialist

OneformaTextData Collection

At OneForma as a Linguistic Quality Assurance Specialist, I performed annotation, data labeling, and quality review for various machine learning projects. Responsibilities included verifying text, logical reasoning, and structured data outputs for quality and contextual accuracy. I completed prompt-based data collection, voice recordings, and AI training data tasks across multiple modalities. • Executed text and audio annotation projects for NLP model improvement. • Evaluated and labeled SQL-generated data and logical reasoning outputs. • Reviewed AI-generated content for accuracy and guideline adherence. • Managed prompt validation and multimodal data collection assignments.

At OneForma as a Linguistic Quality Assurance Specialist, I performed annotation, data labeling, and quality review for various machine learning projects. Responsibilities included verifying text, logical reasoning, and structured data outputs for quality and contextual accuracy. I completed prompt-based data collection, voice recordings, and AI training data tasks across multiple modalities. • Executed text and audio annotation projects for NLP model improvement. • Evaluated and labeled SQL-generated data and logical reasoning outputs. • Reviewed AI-generated content for accuracy and guideline adherence. • Managed prompt validation and multimodal data collection assignments.

2020 - 2023

Education

Work History