For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
C

Chimdimma Okoroanyanwu

AI Model Evaluation Annotator

CANADA flag
Edmonton, Alberta, Canada
$15.00/hrEntry LevelAppenTelusScale AI

Key Skills

Software

AppenAppen
TelusTelus
Scale AIScale AI

Top Subject Matter

AI Model Evaluation and Annotation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Evaluation Rating
Object Detection
Text Generation
Bounding Box
RLHF

Freelancer Overview

AI Model Evaluation Annotator. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Imo State University, Owerri (2016) and Diploma, University of Lagos (2023). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Entry LevelEnglish

Labeling Experience

AI Data Annotator

Image
I reviewed and labeled datasets for AI model training, focusing on image outputs and prompt compliance. My tasks included head-to-head comparison of different model responses to determine output quality. I flagged errors and inaccuracies to refine datasets. • Compared text-to-image results to verify prompt fidelity • Labeled object removal outputs and identified unrealistic edits • Assessed clarity, accuracy, and completeness of generated responses • Maintained high annotation volumes with guideline consistency

I reviewed and labeled datasets for AI model training, focusing on image outputs and prompt compliance. My tasks included head-to-head comparison of different model responses to determine output quality. I flagged errors and inaccuracies to refine datasets. • Compared text-to-image results to verify prompt fidelity • Labeled object removal outputs and identified unrealistic edits • Assessed clarity, accuracy, and completeness of generated responses • Maintained high annotation volumes with guideline consistency

2026 - 2026

AI Model Evaluation Annotator

Text
In additional AI model evaluation work, I reviewed large batches of AI-generated outputs for accuracy and relevance. I evaluated whether generated responses followed prompts correctly and identified inconsistencies, labeling errors, and visual mismatches in machine learning training datasets. My efforts supported the preparation of high-quality datasets for model training and development. • Reviewed and rated AI-generated textual outputs. • Evaluated prompt adherence and response clarity. • Identified and flagged labeling errors or visual mismatches. • Contributed to improving the accuracy of datasets for machine learning models.

In additional AI model evaluation work, I reviewed large batches of AI-generated outputs for accuracy and relevance. I evaluated whether generated responses followed prompts correctly and identified inconsistencies, labeling errors, and visual mismatches in machine learning training datasets. My efforts supported the preparation of high-quality datasets for model training and development. • Reviewed and rated AI-generated textual outputs. • Evaluated prompt adherence and response clarity. • Identified and flagged labeling errors or visual mismatches. • Contributed to improving the accuracy of datasets for machine learning models.

Not specified

AI Model Evaluation Work

Image
I evaluated AI-generated outputs for accuracy and relevance in large dataset batches. My responsibilities involved checking if responses followed prompts and identifying errors. I contributed to the dataset's quality control for machine learning training. • Audited consistency and correctness across labeled data • Noted labeling errors and visual mismatches • Assessed prompt adherence of generated outputs • Supported model improvement through dataset feedback

I evaluated AI-generated outputs for accuracy and relevance in large dataset batches. My responsibilities involved checking if responses followed prompts and identifying errors. I contributed to the dataset's quality control for machine learning training. • Audited consistency and correctness across labeled data • Noted labeling errors and visual mismatches • Assessed prompt adherence of generated outputs • Supported model improvement through dataset feedback

Not specified

Education

U

University of Lagos

Diploma, N/A

Diploma
2023 - 2023
I

Imo State University, Owerri

Bachelor of Science, Biochemistry

Bachelor of Science
2013 - 2016

Work History

O

Outlier AI

AI Data Annotator

Edmonton
2026 - 2026
G

Guaranty Trust Bank

Relationship Officer

Edmonton
2022 - 2024