James Hill

Key Skills

Software

Mercor

Mindrift

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Classification

Computer Programming Coding

Data Collection

Emotion Recognition

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Question Answering

RLHF

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

With a strong background in finance, statistics, and economics, I bring extensive experience in data analysis, quality assurance, and complex data interpretation—skills that are highly relevant to data labeling and AI training data roles. My academic research has required meticulous data collection, cleaning, and annotation, ensuring accuracy and reliability for advanced quantitative and statistical modeling. I am adept at working with large datasets, applying statistical methods, and translating nuanced data patterns into actionable insights. My work spans domains such as corporate finance and executive compensation, and I am eager to apply my analytical expertise and attention to detail to support the development of high-quality AI training datasets.

Labeling Experience

Data Annotator

Scale AITextRLHFEvaluation Rating

Scoped as a data quality specialist for LLM fine-tuning and evaluation. Performed high-volume text annotation tasks including categorizing user queries, identifying and labeling named entities in long-form text, and writing/classifying prompt-response pairs for instruction tuning. Rigorously applied project-specific guidelines to ensure consistency, contributing to datasets used to train and evaluate large language models for safety, accuracy, and helpfulness.

Scoped as a data quality specialist for LLM fine-tuning and evaluation. Performed high-volume text annotation tasks including categorizing user queries, identifying and labeling named entities in long-form text, and writing/classifying prompt-response pairs for instruction tuning. Rigorously applied project-specific guidelines to ensure consistency, contributing to datasets used to train and evaluate large language models for safety, accuracy, and helpfulness.

2023 - 2024

Education

Work History