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Chinedu Onochie

Tier 3 Senior AI Model Reviewer

Nigeria flagLagos, Nigeria
$10.00/hrIntermediateOtherAppenCVAT

Key Skills

Software

Other
AppenAppen
CVATCVAT
LabelboxLabelbox
Label StudioLabel Studio
LionbridgeLionbridge
OneFormaOneForma
TelusTelus

Top Subject Matter

AI Model Evaluation and Alignment
Natural Language Processing
Computer Vision and NLP Dataset Quality

Top Data Types

TextText
ImageImage

Top Task Types

RLHF
Entity Ner Classification

Freelancer Overview

Tier 3 Senior AI Model Reviewer at Atlas Capture. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, LASU (2024). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Entity (NER) Classification, and Evaluation.

IntermediateEnglish

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.

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.

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.

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

L

LASU

Bachelor of Science, Business Administration and Management

Bachelor of Science
2020 - 2024

Work History

N

Nigerian Red Cross Society (NRCS)

Data Entry Specialist

Lagos
2025 - 2025