Alex Russells Akinnadeju

Key Skills

Software

Clickworker

Mercor

Mindrift

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Video

Top Label Types

Classification

Emotion Recognition

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

Question Answering

RLHF

Transcription

Translation Localization

Freelancer Overview

I am an AI evaluation and data quality specialist with hands-on experience reviewing and validating AI-generated outputs across text, image, and video modalities. My work focuses on ensuring the highest standards in data labeling and annotation by applying structured evaluation guidelines, logical consistency checks, and comparative output analysis. I have managed over 1,000+ sample reviews on various AI training projects, identifying edge cases, inconsistencies, and missing assumptions to improve overall data quality. My background in English and Google Data Analytics, combined with strong analytical reasoning and attention to detail, enables me to deliver clear documentation and actionable QA feedback. I am comfortable working independently in remote settings, always prioritizing accuracy, compliance, and timely project delivery.

Labeling Experience

AI Agent Evaluation & Data Quality Specialist

MindriftTextQuestion AnsweringFine Tuning

As an AI Agent Evaluation & Data Quality Specialist, I evaluated AI outputs across text, image, and scenario tasks using structured guidelines. I reviewed model outputs for logical consistency, instruction compliance, emotional realism, and human-like dialogue quality. I applied structured QA testing and detailed rubrics to compare generated outputs and provide feedback for improvement. • Assessed autonomous AI model behavior versus gold standards. • Reviewed and validated over 1,000 AI-generated samples for accuracy and quality. • Documented discrepancies and maintained consistency across scenarios. • Reduced annotation errors by systematic QA review.

As an AI Agent Evaluation & Data Quality Specialist, I evaluated AI outputs across text, image, and scenario tasks using structured guidelines. I reviewed model outputs for logical consistency, instruction compliance, emotional realism, and human-like dialogue quality. I applied structured QA testing and detailed rubrics to compare generated outputs and provide feedback for improvement. • Assessed autonomous AI model behavior versus gold standards. • Reviewed and validated over 1,000 AI-generated samples for accuracy and quality. • Documented discrepancies and maintained consistency across scenarios. • Reduced annotation errors by systematic QA review.

2025

Content Analyst

OtherTextRLHFFine Tuning

Analytical and detail-oriented Content & Research Analyst with hands-on experience supporting large language model (LLM) training through content analysis, research, evaluation and structured feedback. Strong background in English language and comprehension with proven ability to break down complex information, validate claims through research and improve AI responses through logical reasoning and quality review. Comfortable working in fully remote, guideline-driven environments that require curiosity, independent judgment, and high attention to detail.

Analytical and detail-oriented Content & Research Analyst with hands-on experience supporting large language model (LLM) training through content analysis, research, evaluation and structured feedback. Strong background in English language and comprehension with proven ability to break down complex information, validate claims through research and improve AI responses through logical reasoning and quality review. Comfortable working in fully remote, guideline-driven environments that require curiosity, independent judgment, and high attention to detail.

2025 - 2025

Conversational AI & Dialogue Evaluation Analyst

OtherTextEvaluation Rating

In my Conversational AI & Dialogue Evaluation work, I analyzed multi-turn AI conversations for tone, emotional alignment, and realism. I identified conversational and narrative failure modes such as tone drift and hallucinations. I compared model responses and assessed dialogue fluidity using structured rubrics. • Assessed narrative believability within interactive AI scenarios. • Evaluated instruction-following and persona consistency in conversation. • Used structured scoring to rate human-likeness and conversational quality. • Identified patterns of robotic phrasing and repetition.

In my Conversational AI & Dialogue Evaluation work, I analyzed multi-turn AI conversations for tone, emotional alignment, and realism. I identified conversational and narrative failure modes such as tone drift and hallucinations. I compared model responses and assessed dialogue fluidity using structured rubrics. • Assessed narrative believability within interactive AI scenarios. • Evaluated instruction-following and persona consistency in conversation. • Used structured scoring to rate human-likeness and conversational quality. • Identified patterns of robotic phrasing and repetition.

2025 - 2025

Education

Work History