Abdul Azeez Akindele

Key Skills

Software

Scale AI

Appen

Top Subject Matter

Business Intelligence

E-commerce Product Data & Taxonomy

Market Research

Top Data Types

Text

Document

Image

Top Task Types

RLHF

Data Collection

Prompt + Response Writing (SFT)

Text Generation

Freelancer Overview

AI Training Specialist & Business Research Evaluator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Outlier AI, and Appen. Education includes Master of Science, Federal University of Agriculture, Abeokuta and Bachelor of Technology, Ladoke Akintola University of Technology. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Training Specialist & Business Research Evaluator

Scale AIText

I performed data annotation and evaluation for AI models focused on business intelligence and eCommerce analytics. My responsibilities included assessing AI-generated responses on market research, business trends, and performance data for commercial deployment. I maintained high accuracy in large-scale annotation projects with quick turnaround times. • Evaluated content for accuracy and depth across multiple business verticals. • Validated AI outputs pertaining to revenue attribution and customer retention. • Conducted business performance benchmarking and ROI analysis tasks. • Ensured consistent annotation quality according to project guidelines.

I performed data annotation and evaluation for AI models focused on business intelligence and eCommerce analytics. My responsibilities included assessing AI-generated responses on market research, business trends, and performance data for commercial deployment. I maintained high accuracy in large-scale annotation projects with quick turnaround times. • Evaluated content for accuracy and depth across multiple business verticals. • Validated AI outputs pertaining to revenue attribution and customer retention. • Conducted business performance benchmarking and ROI analysis tasks. • Ensured consistent annotation quality according to project guidelines.

2025 - 2025

AI Content Evaluator & Domain Specialist

TextRLHF

I evaluated and ranked AI-generated content for RLHF training within eCommerce and digital marketing domains. My work focused on assessing factual accuracy, tone, and response quality of marketing-related AI outputs. I contributed to rubric refinement and identification of content hallucinations and errors. • Reviewed over 100 prompt-response pairs weekly for business accuracy. • Flagged logical inconsistencies in AI-generated marketing content. • Improved model performance for eCommerce and customer strategy queries. • Collaborated on evaluation standards for marketing data.

I evaluated and ranked AI-generated content for RLHF training within eCommerce and digital marketing domains. My work focused on assessing factual accuracy, tone, and response quality of marketing-related AI outputs. I contributed to rubric refinement and identification of content hallucinations and errors. • Reviewed over 100 prompt-response pairs weekly for business accuracy. • Flagged logical inconsistencies in AI-generated marketing content. • Improved model performance for eCommerce and customer strategy queries. • Collaborated on evaluation standards for marketing data.

2024 - 2024

Data Annotator & Search Evaluator

AppenTextRLHF

I executed high-precision data labeling tasks for NLP and Search Relevance projects, focusing on AI model training and evaluation. My scope included RLHF review, factual verification of AI outputs, and categorization of linguistic and sentiment features in technical datasets. I contributed to the improvement of annotation guidelines for scientific and technical documentation. • Maintained 98%+ accuracy rating on annotation deliverables. • Specialized in STEM fact-checking, especially chemistry queries. • Evaluated AI responses for factual accuracy, safety, and tone. • Identified and analyzed linguistic and sentiment nuances.

I executed high-precision data labeling tasks for NLP and Search Relevance projects, focusing on AI model training and evaluation. My scope included RLHF review, factual verification of AI outputs, and categorization of linguistic and sentiment features in technical datasets. I contributed to the improvement of annotation guidelines for scientific and technical documentation. • Maintained 98%+ accuracy rating on annotation deliverables. • Specialized in STEM fact-checking, especially chemistry queries. • Evaluated AI responses for factual accuracy, safety, and tone. • Identified and analyzed linguistic and sentiment nuances.

2022 - 2022

Education

Work History