Peter M.

Key Skills

Software

Appen

Data Annotation Tech

Remotasks

Scale AI

Label Studio

Labelbox

Top Subject Matter

Healthcare, Medicine & Life Sciences

Software Engineering & Code Intelligence

Legal & Regulatory Compliance

Top Data Types

Text

Document

Top Task Types

Object Detection

Bounding Box

Classification

Text Summarization

Text Generation

Transcription

Question Answering

Freelancer Overview

I have over five years of experience in AI training and data annotation, contributing to projects focused on improving the accuracy, relevance, and performance of machine learning models. My work has involved data labeling, content evaluation, quality assurance, response ranking, categorization, and validating AI-generated outputs according to detailed project guidelines. I consistently maintain high accuracy standards while handling large datasets and meeting strict deadlines. In addition to AI training, I bring strong research, analytical, and problem-solving skills developed through over eight years of academic writing and research experience. I am proficient in interpreting complex instructions, identifying inconsistencies, providing structured feedback, and ensuring data quality. My attention to detail, adaptability, and ability to work independently or within global teams enable me to deliver reliable, high-quality results across diverse AI and data-focused projects.

Labeling Experience

Text classification

TextClassification

Scope: Automating text categorization by defining business goals, processing raw data pipelines, filtering out-of-scope files, and delivering production-ready classification models. Data Labeling Tasks: Building clear category taxonomies, executing single or multi-label text annotation, and establishing rules to resolve ambiguous edge cases. Project Size: Managing total dataset volumes, tracking average text length, allocating annotation workforce resources, and balancing skewed class distributions. Quality Measures: Enforcing strict annotation guidelines, calculating Inter-Annotator Agreement (Cohen's/Fleiss' Kappa), using expert arbitration for disputes, and auditing accuracy with gold-standard test samples.

2020 - 2024

Education

Work History