Alexandria Chukwujekwu

Key Skills

Software

Labelbox

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Evaluation Rating

Freelancer Overview

I am an experienced professional with a strong background in data entry, record-keeping, and accurate documentation, developed through roles in sales, customer support, and live chat assistance. My expertise includes managing large volumes of client data, maintaining detailed CRM records, and ensuring precise documentation of customer interactions—skills directly applicable to data labeling and annotation tasks for AI training. I am highly proficient with Microsoft Office Suite, Google Workspace, and various CRM tools, and I excel in multitasking, problem-solving, and following structured processes. My experience in handling sensitive information and organizing data for insurance, real estate, and customer support domains has equipped me with the attention to detail and consistency required for high-quality AI training data projects. I am committed to delivering reliable, well-organized data that supports machine learning and AI development.

Labeling Experience

Remote Customer Support & Chat Specialist / LLM Evaluator

LabelboxTextEvaluation Rating

I simulated complex multi-turn conversational scenarios to test and evaluate automated AI language model response systems. I assessed dialogue flow, user experience, and emotional engagement, carefully documenting observations and identifying model weaknesses. Actionable feedback was provided based on structured guideline adherence to improve instruction following and dialogue coherence. • Tested LLM outputs for realism, consistency, and adherence to designed conversational intent. • Evaluated and documented LLM failure modes, performance issues, and behavioral inconsistencies. • Created structured evaluation reports with detailed metrics and improvement recommendations. • Adapted conversational personas to thoroughly assess LLM robustness in diverse contexts.

I simulated complex multi-turn conversational scenarios to test and evaluate automated AI language model response systems. I assessed dialogue flow, user experience, and emotional engagement, carefully documenting observations and identifying model weaknesses. Actionable feedback was provided based on structured guideline adherence to improve instruction following and dialogue coherence. • Tested LLM outputs for realism, consistency, and adherence to designed conversational intent. • Evaluated and documented LLM failure modes, performance issues, and behavioral inconsistencies. • Created structured evaluation reports with detailed metrics and improvement recommendations. • Adapted conversational personas to thoroughly assess LLM robustness in diverse contexts.

2024 - 2025

Remote Sales & Client Engagement Specialist (AI Evaluation Tasks)

Scale AITextEvaluation Rating

I conducted detailed, multi-turn conversational interactions to analyze and rate communication effectiveness in AI-driven scenarios. I documented conversation logs, tracked inconsistencies, and identified error patterns to inform improvements in conversational AI systems. Collaboration with remote teams ensured high-quality, consistent outcomes and refinement of conversational guidelines. • Engaged in simulated client interactions to evaluate conversation quality. • Applied analytical methods to identify behavioral issues and propose process enhancements. • Documented key findings in structured evaluation records. • Collaborated on remote teams for iterative improvement of conversational AI.

I conducted detailed, multi-turn conversational interactions to analyze and rate communication effectiveness in AI-driven scenarios. I documented conversation logs, tracked inconsistencies, and identified error patterns to inform improvements in conversational AI systems. Collaboration with remote teams ensured high-quality, consistent outcomes and refinement of conversational guidelines. • Engaged in simulated client interactions to evaluate conversation quality. • Applied analytical methods to identify behavioral issues and propose process enhancements. • Documented key findings in structured evaluation records. • Collaborated on remote teams for iterative improvement of conversational AI.

2025

Education

Work History