Edwin S.

Key Skills

Software

Scale AI

Mercor

Mindrift

Label Studio

SuperAnnotate

CVAT

Appen

OneForma

Top Subject Matter

LLM training

computer vision

autonomous driving

Top Data Types

Text

Audio

Image

Document

Top Task Types

RLHF

Entity (NER) Classification

Classification

Freelancer Overview

Freelance AI Data Annotator & Evaluator – Generalist AI Training. Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Remotask, and Mercor. Education includes Master of Science, Atlanta Community College (2023) and Master of Science, University of Missouri – St. Louis (2020). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including RLHF, Entity (NER) Classification, and Classification.

Labeling Experience

Programming & Code Evaluation

Scale AI

In programming and code evaluation projects, I reviewed and rated AI-generated code across several languages for correctness and performance. I wrote programming prompts, debugged code, and explained reasoning for machine learning datasets. I regularly evaluated function-calling and tool-use scenarios for LLM-based coding agents. • Evaluated code solutions in Python, JavaScript, C++, Rust, and Go for accuracy and quality • Authored programming problem prompts and model answers for training datasets • Performed code debugging and stepwise solution explanation for AI learning • Assessed code-related function calling for LLM integration

2020 - Present

Music Data Annotation

AudioClassification

As a music data annotator, I labeled music metadata for machine learning-driven recommendation systems. The work involved segmenting audio, identifying musical structure, and categorizing music by genre, instrument, mood, and vocal presence. I contributed to projects supporting major streaming platforms' MIR needs. • Annotated and classified genre, mood, tempo, and instrumentation in music tracks • Segmented audio files to identify musical sections and transitions • Labeled vocal styles for improved recommendation accuracy • Supported music information retrieval projects for industry-leading clients

2020 - Present

Healthcare & Medical Data Annotation

Scale AIEntity (NER) Classification

In specialized medical data annotation projects, I annotated electronic health records for clinical NLP models. I performed entity extraction and de-identification tasks on EHRs, and labeled radiology and pathology notes for AI healthcare systems. My work included collaboration with medical experts to meet clinical annotation standards. • Extracted medical entities (diagnoses, medications, procedures) for NLP and diagnosis models • Labeled and anonymized protected health information in compliance with PHI guidelines • Annotated radiology and pathology text for disease detection and treatment recommendation • Routinely coordinated with clinicians and medical reviewers for accuracy assurance

2020 - Present

Freelance AI Data Annotator & Evaluator – Generalist AI Training

Scale AITextRLHF

As a Freelance AI Data Annotator & Evaluator, I executed daily annotation tasks on text, image, and video datasets for LLM training and model improvement. I performed prompt engineering, model response ranking, and red teaming for leading AI research labs. My role included maintaining high quality standards and training new annotators on various tools. • Labeled and evaluated prompts, responses, and dialogue completions for RLHF and SFT datasets • Engaged in model output evaluation and red teaming to ensure robustness and accuracy • Contributed to fine-tuning efforts through detailed prompt+response curation • Utilized multiple platforms effectively, including providing tool-specific training to peers

2020 - Present

Education

Work History