Chinedu O.

Key Skills

Software

Other

Appen

CVAT

Labelbox

Label Studio

Lionbridge

OneForma

Telus

Roboflow

Micro1

Mindrift

Mercor

Top Subject Matter

AI Model Evaluation

Rlhf Domain Expertise

Model Alignment

Top Data Types

Text

Image

Top Task Types

RLHF

Entity (NER) Classification

Bounding Box

Polygon

Segmentation

Classification

Point/Key Point

Text Generation

Object Detection

Question Answering

Text Summarization

Fine-tuning

Red Teaming

Transcription

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

TIER 3 SENIOR AI MODEL REVIEWER. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, LASU (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Tier 3 Senior AI Model Reviewer

TextRLHF

As a Tier 3 Senior AI Model Reviewer at Atlas Capture, I served as the final authority on model response quality and performed advanced data annotation across text and images. I led Side-by-Side evaluations and refined guidelines for the labeling team. My work focused on auditing model outputs for correctness, truthfulness, and logical consistency to ensure high-quality outputs for AI model refinement. • Conducted deep-dive audits into model reasoning chains and prompt adherence. • Developed and improved project-specific guidelines on writing quality and verbosity. • Provided high-level feedback to junior specialists to enhance review quality. • Oversaw structured data annotation and categorization for diverse data types.

2025 - Present

Dataset Quality Control & Validation

OtherImage

As a quality control and validation freelancer, I audited more than 2,000 records for computer vision and NLP datasets. Responsibilities included applying predefined rubrics and taxonomies to evaluate, synthesize, and correct data inconsistencies. My contributions ensured the delivery of structured and high-quality datasets for machine learning use. • Used systematic audits to improve dataset structure and usability. • Identified and corrected annotation errors and ambiguities. • Leveraged information synthesis from large, complex datasets. • Maintained rigorous standards in accordance with project guidelines.

2025 - 2026

Text & Entity Annotation Specialist

OtherTextEntity (NER) Classification

In a specialized freelancing capacity, I labeled over 3,000 text records for Named Entity Recognition and sentiment classification. I created 'Gold Standard' responses and directly contributed annotations used for model training. My meticulous annotation efforts reduced feedback cycles and improved AI system performance. • Authored complex instructional and academic tone examples to train models. • Flagged data inconsistencies to support iterative quality improvement. • Enhanced training datasets through consistent, high-quality labels. • Supported ongoing refinement of annotation guidelines and processes.

2025 - 2026

Education

Work History