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Kate Nchoje

Kate Nchoje

AI Data Contributor (Freelance)

Nigeria flagLagos, Nigeria
IntermediateClickworker

Key Skills

Software

ClickworkerClickworker

Top Subject Matter

General AI/ML
AI Workflow
Prompt Engineering

Top Data Types

ImageImage
TextText

Top Task Types

ClassificationClassification

Freelancer Overview

AI Data Contributor (Freelance). Core strengths include Clickworker and Google Sheets. Education includes Bachelor of Science, University of Nigeria Nsukka (2023). AI-training focus includes data types such as Image and Text and labeling workflows including Classification, Evaluation, and Rating.

Intermediate

Labeling Experience

Structured Data Reasoning & Annotation Quality Project

ImageClassification
I executed a Structured Data Reasoning & Annotation Quality Project simulating large-scale annotation workflows. I labeled over 1,000 data points, focusing on accuracy and rule development for challenging scenarios. Error tracking and structured rule refinement were integral parts of my responsibility. • Applied structured logic to refine classification guidelines for edge cases. • Simulated workflows to improve annotation efficiency and consistency. • Tracked and analyzed error patterns across repeated classification tasks. • Ensured high-quality data labeling in both image and text domains.

I executed a Structured Data Reasoning & Annotation Quality Project simulating large-scale annotation workflows. I labeled over 1,000 data points, focusing on accuracy and rule development for challenging scenarios. Error tracking and structured rule refinement were integral parts of my responsibility. • Applied structured logic to refine classification guidelines for edge cases. • Simulated workflows to improve annotation efficiency and consistency. • Tracked and analyzed error patterns across repeated classification tasks. • Ensured high-quality data labeling in both image and text domains.

2025 - Present

AI Workflow Evaluation & Prompt Engineering Project

Text
I participated in an AI Workflow Evaluation and Prompt Engineering Project, focusing on evaluating AI-generated responses for diverse tasks. I designed realistic scenarios to test accuracy, completeness, and reasoning quality of AI systems. Using structured frameworks, I scored AI outputs and tracked performance metrics for ongoing improvement. • Developed 15+ task scenarios including budgeting, travel, and productivity. • Applied evaluation frameworks for consistent AI output assessment. • Used Python (Pandas) and Google Sheets for metrics tracking and analysis. • Focused on identifying and correcting reasoning failures in AI responses.

I participated in an AI Workflow Evaluation and Prompt Engineering Project, focusing on evaluating AI-generated responses for diverse tasks. I designed realistic scenarios to test accuracy, completeness, and reasoning quality of AI systems. Using structured frameworks, I scored AI outputs and tracked performance metrics for ongoing improvement. • Developed 15+ task scenarios including budgeting, travel, and productivity. • Applied evaluation frameworks for consistent AI output assessment. • Used Python (Pandas) and Google Sheets for metrics tracking and analysis. • Focused on identifying and correcting reasoning failures in AI responses.

2025 - Present
Clickworker

AI Data Contributor (Freelance)

ClickworkerImageClassification
As an AI Data Contributor at Clickworker and Appen, I completed high-accuracy annotation and evaluation tasks across image and text datasets. My work involved assessing outputs for logical consistency and correctness, following detailed guidelines. I also resolved ambiguous classification issues through structured reasoning and contributed to prompt refinement for improved AI performance. • Maintained accuracy levels of 95–98% across 1,000+ completed tasks. • Labeled and evaluated both images and text data for classification accuracy. • Used Clickworker and Appen platforms to execute and track annotation tasks. • Handled edge-case classification and evaluation scenarios in high-volume workflows.

As an AI Data Contributor at Clickworker and Appen, I completed high-accuracy annotation and evaluation tasks across image and text datasets. My work involved assessing outputs for logical consistency and correctness, following detailed guidelines. I also resolved ambiguous classification issues through structured reasoning and contributed to prompt refinement for improved AI performance. • Maintained accuracy levels of 95–98% across 1,000+ completed tasks. • Labeled and evaluated both images and text data for classification accuracy. • Used Clickworker and Appen platforms to execute and track annotation tasks. • Handled edge-case classification and evaluation scenarios in high-volume workflows.

2025 - Present

Education

U

University of Nigeria Nsukka

Bachelor of Science, Microbiology

Bachelor of Science
2023 - 2023

Work History

No Work History added yet

Kate N. hasn’t added any Work History to their OpenTrain profile yet.