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Lateefat Majekodunmi

Lateefat Majekodunmi

AI Quality Analyst & Data Annotator (Remote)

USA flagRemote, Usa
$10.00/hrIntermediateAppenClickworkerCrowdsource

Key Skills

Software

AppenAppen
ClickworkerClickworker
CrowdSourceCrowdSource
RemotasksRemotasks

Top Subject Matter

AI Evaluation and Data Annotation
AI Personalization Evaluation
Conversational AI

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification
Object DetectionObject Detection
Evaluation/RatingEvaluation/Rating
TranscriptionTranscription
Data CollectionData Collection

Freelancer Overview

AI Quality Analyst & Data Annotator (Remote). Brings 4+ 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, Obafemi Awolowo University (2024) and Master of Science, N/A (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

IntermediateEnglish

Labeling Experience

Data Annotation (Conversational AI) Project

TextClassification
I annotated AI conversations for accuracy and relevance, detecting hallucinations and flawed reasoning. Consistency was upheld across large datasets to improve conversational AI system quality. My work directly contributed to more natural and safe AI-generated dialogues. • Reviewed multi-turn conversations for logic and factual grounding.• Flagged and annotated hallucinated or incorrect responses.• Maintained annotation guidelines to ensure consistency.• Supported large-scale annotation efforts to refine conversational models.

I annotated AI conversations for accuracy and relevance, detecting hallucinations and flawed reasoning. Consistency was upheld across large datasets to improve conversational AI system quality. My work directly contributed to more natural and safe AI-generated dialogues. • Reviewed multi-turn conversations for logic and factual grounding.• Flagged and annotated hallucinated or incorrect responses.• Maintained annotation guidelines to ensure consistency.• Supported large-scale annotation efforts to refine conversational models.

2024 - Present

AI Personalization Evaluation Project

TextPrompt Response Writing SFT
I evaluated AI responses for personalization, grounding, and helpfulness, designing prompts to test multi-source data usage. Structured comparison reports were delivered to facilitate model improvement. My focus was on ensuring responses were accurate and rooted in diverse data sources. • Developed tailored prompts to challenge various aspects of AI performance.• Analyzed model outputs for relevance and user personalization.• Provided detailed, structured feedback to optimize model behavior.• Supported ongoing improvement of large language models through feedback loops.

I evaluated AI responses for personalization, grounding, and helpfulness, designing prompts to test multi-source data usage. Structured comparison reports were delivered to facilitate model improvement. My focus was on ensuring responses were accurate and rooted in diverse data sources. • Developed tailored prompts to challenge various aspects of AI performance.• Analyzed model outputs for relevance and user personalization.• Provided detailed, structured feedback to optimize model behavior.• Supported ongoing improvement of large language models through feedback loops.

2024 - Present

AI Quality Analyst & Data Annotator (Remote)

Text
I designed and executed multi-turn prompts to evaluate AI model accuracy and personalization. Annotating large datasets, I maintained high accuracy and consistency while preventing dataset contamination. Structured evaluation reports with evidence-based reasoning were delivered to support continuous improvement. • Performed side-by-side comparisons of AI model responses.• Identified hallucinations and grounding issues in AI outputs.• Wrote clear, structured feedback reports addressing incorrect inferences.• Ensured data quality and reliability across annotated datasets.

I designed and executed multi-turn prompts to evaluate AI model accuracy and personalization. Annotating large datasets, I maintained high accuracy and consistency while preventing dataset contamination. Structured evaluation reports with evidence-based reasoning were delivered to support continuous improvement. • Performed side-by-side comparisons of AI model responses.• Identified hallucinations and grounding issues in AI outputs.• Wrote clear, structured feedback reports addressing incorrect inferences.• Ensured data quality and reliability across annotated datasets.

2024 - Present

Education

U

university of west georgia

Master of Science, Chemistry

Master of Science
2024 - 2026
O

Obafemi Awolowo University

Bachelor of Science, Industrial Chemistry

Bachelor of Science
2020 - 2024

Work History

T

Tester Work

Software Tester

Remote
2024 - Present
I

InnovateTech Labs

Software Tester

N/A
2023 - 2024