Ceaser Hahaha

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Geospatial Tiled Imagery

Image

Text

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Cuboid

Evaluation Rating

Freelancer Overview

I’ve worked on data labeling and AI training projects where accuracy and consistency really matter. Most of my experience is in text-based tasks like classification, relevance scoring, and reviewing AI outputs, along with some image and structured data annotation. I’m used to following detailed guidelines, catching small errors, and staying focused even when working through high volumes of tasks. I take quality seriously and always double-check my work to make sure it meets project standards. What sets me apart is my ability to think through edge cases and explain my decisions clearly. I don’t just label data mechanically—I pay attention to context, flag unclear instructions, and give useful feedback when something doesn’t make sense. I work well independently in remote settings, manage my time reliably, and stay consistent over long projects, which makes me a dependable contributor to AI training teams.

Labeling Experience

Data Review & Quality Analyst

Label StudioTextEvaluation Rating

As a Data Review & Quality Analyst, I reviewed and validated previously labeled datasets for accuracy and guideline adherence. I evaluated AI-generated outputs against established human judgment standards and flagged systematic errors to improve workflow processes. I supported the onboarding of new annotators by reviewing annotation examples and providing constructive guidance. • Assessed labeled datasets for compliance and consistency. • Contributed to workflow and process improvements across multiple projects. • Evaluated AI outputs for accuracy using project specifications. • Aided in training new team members with example-based feedback.

As a Data Review & Quality Analyst, I reviewed and validated previously labeled datasets for accuracy and guideline adherence. I evaluated AI-generated outputs against established human judgment standards and flagged systematic errors to improve workflow processes. I supported the onboarding of new annotators by reviewing annotation examples and providing constructive guidance. • Assessed labeled datasets for compliance and consistency. • Contributed to workflow and process improvements across multiple projects. • Evaluated AI outputs for accuracy using project specifications. • Aided in training new team members with example-based feedback.

2020 - 2021

AI Data Labeler / Data Annotation Specialist

Label StudioTextClassification

As an AI Data Labeler and Data Annotation Specialist, I annotated large-scale datasets including text, content relevance, and images for machine learning projects. I rigorously followed annotation guidelines and validated data to enhance AI model accuracy. I also performed quality checks and documented feedback to refine annotation clarity. • Consistently annotated text and image data for classification and content relevance. • Conducted systematic error corrections and accuracy checks. • Improved project outcomes by giving written feedback on ambiguous cases. • Maintained high productivity to meet tight deadlines and accuracy requirements.

As an AI Data Labeler and Data Annotation Specialist, I annotated large-scale datasets including text, content relevance, and images for machine learning projects. I rigorously followed annotation guidelines and validated data to enhance AI model accuracy. I also performed quality checks and documented feedback to refine annotation clarity. • Consistently annotated text and image data for classification and content relevance. • Conducted systematic error corrections and accuracy checks. • Improved project outcomes by giving written feedback on ambiguous cases. • Maintained high productivity to meet tight deadlines and accuracy requirements.

2022

Education

Work History