Christian U.

Key Skills

Software

Other

Labelbox

Top Subject Matter

Object detection and image segmentation

Multilingual sentiment and intent classification

Content safety moderation and relevance labeling

Top Data Types

Video

Image

Text

Top Task Types

Object Detection

Classification

Entity (NER) Classification

Freelancer Overview

Freelance AI Data Annotator (Self-Employed / Platform Work). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox and Other. Education includes Bachelor of Science, Nnamdi Azikiwe University (2026). AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection, Sentiment Analysis, and Evaluation.

Labeling Experience

Freelance AI Data Annotator (Self-Employed / Platform Work)

OtherTextClassification

Labeled 5,000+ text samples for sentiment and intent classification across Portuguese, Spanish, and English. Followed complex annotation guidelines to ensure the labels reflected the intended meaning and context. Maintained 96%+ quality assurance accuracy while handling large-volume tasks. • Annotated sentiment and intent labels • Labeled multilingual text in Portuguese, Spanish, and English • Applied guidelines for consistent classification • Sustained high QA accuracy on production batches

2024 - Present

Freelance AI Data Annotator (Self-Employed / Platform Work)

LabelboxImageObject Detection

Annotated 10,000+ images for object detection and segmentation tasks using detailed guidelines. Maintained consistency across labeling categories and adhered to project-specific QA requirements. Achieved 96% quality assurance accuracy across high-volume annotation workloads. • Labeled images for object detection • Followed detailed annotation instructions • Performed quality checks to keep accuracy high • Ensured label consistency across batches

2024 - Present

Multilingual Text Labelling Project

OtherTextEntity (NER) Classification

Labeled 2,000+ customer support tickets in Portuguese and Spanish to support chatbot training. Applied consistent labeling practices to improve downstream model performance and annotation agreement. Reached a 98% inter-annotator agreement rate for the project. • Labeled customer support tickets for chatbot training • Performed multilingual annotation in Portuguese and Spanish • Ensured consistent application of labeling standards • Achieved high inter-annotator agreement

2025 - 2025

Content Moderator / Data Labeler

OtherText

Reviewed and labeled user-generated content for safety and relevance in accordance with annotation rules. Flagged edge cases and supported updates to labeling guidelines based on observed patterns. Contributed to maintaining annotation quality through careful adherence to instructions. • Moderated and labeled UGC for safety • Assessed relevance according to guidelines • Reported edge cases for rule refinement • Collaborated on annotation rule updates

2023 - 2024

Education

Work History