Charles A.

Key Skills

Software

Data Annotation Tech

iMerit

LabelImg

Labelbox

Mercor

Micro1

Mindrift

SuperAnnotate

Toloka

Top Subject Matter

AI response evaluation

content moderation

and quality assurance

Top Data Types

Text

Image

Document

Top Task Types

Classification

Data Collection

Bounding Box

Text Generation

Question Answering

Object Detection

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Freelancer Overview

Freelance AI Data Annotator & Labeler (AI response evaluation/ranking; content moderation). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. AI-training focus includes data types such as Text, Image, and Document and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Freelance AI Data Annotator & Labeler (image classification labeling)

ImageClassification

Labeled large-scale image datasets as part of supervised machine learning training preparation. Followed detailed labeling guidelines to assign appropriate binary and multi-class categories to data instances. Concentrated on correctness and guideline adherence while meeting project deadlines. • Applied binary and multi-class classification labels to image-related training data • Followed detailed project-specific labeling instructions for consistent outcomes • Detected and corrected subtle errors to improve label quality • Completed labeling tasks efficiently under tight deadlines

2022 - Present

Freelance AI Data Annotator & Labeler (AI response evaluation/ranking; content moderation)

Text

Freelanced as an AI data annotator and labeler, focusing on evaluating and ranking AI-generated responses. Applied accuracy, relevance, coherence, and safety judgments to training and moderation workflows across diverse topics. Ensured consistent decision-making aligned with detailed project-specific labeling guidelines and quality requirements. • Evaluated AI response quality and correctness for supervised model training • Ranked responses for relevance, coherence, and safety signals • Flagged harmful, misleading, or low-quality outputs during content moderation tasks • Maintained inter-annotator consistency across thousands of labeled data points

2022 - Present

Administrative & Data Support Role (document verification for dataset integrity)

DocumentData Collection

Provided administrative and data support tied to maintaining accurate datasets used for downstream tasks. Reviewed and verified documents for correctness, consistency, and completeness to support reliable data preparation. Collaborated with remote teams to clarify instructions and address ambiguities impacting dataset quality. • Organized digital records with a focus on accuracy and integrity • Verified document correctness, consistency, and completeness • Clarified task instructions with remote stakeholders • Resolved ambiguities to maintain dataset quality

2023 - 2024

Education

Work History