Ridwan Adekunle

Key Skills

Software

Other

Appen

Humanatic

Top Subject Matter

AI Output Evaluation

AI Language and Reasoning Training

Call Center Audio Analytics

Top Data Types

Text

Audio

Document

Top Task Types

Fine-tuning

Classification

Data Collection

Red Teaming

Freelancer Overview

AI Quality Analyst | Outlier AI. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other, Appen, and Humanatic. Education includes Certificate in Data Analysis, SQI College of ICT (2025) and Bachelor of Arts in Education, University of Ilorin (2022). AI-training focus includes data types such as Text and Audio and labeling workflows including Evaluation, Rating, and Fine-tuning.

Labeling Experience

AI Quality Analyst | Outlier AI

OtherText

As an AI Quality Analyst at Outlier AI, I evaluated AI model outputs for logical, contextual, and factual accuracy. My work involved structured assessments and performance tagging, enhancing AI reliability and model performance. I collaborated on standardizing evaluation criteria and maintained detailed feedback aligned with annotation guidelines. • Evaluated 500+ advanced AI model outputs across varied real-world scenarios. • Consistently achieved 97% evaluation accuracy with written qualitative feedback. • Enhanced model performance resulting in a 15% improvement in response quality. • Worked in a remote, high-throughput international team to optimize AI scalability.

As an AI Quality Analyst at Outlier AI, I evaluated AI model outputs for logical, contextual, and factual accuracy. My work involved structured assessments and performance tagging, enhancing AI reliability and model performance. I collaborated on standardizing evaluation criteria and maintained detailed feedback aligned with annotation guidelines. • Evaluated 500+ advanced AI model outputs across varied real-world scenarios. • Consistently achieved 97% evaluation accuracy with written qualitative feedback. • Enhanced model performance resulting in a 15% improvement in response quality. • Worked in a remote, high-throughput international team to optimize AI scalability.

2025 - Present

AI Rater | Appen

AppenText

Serving as an AI Rater at Appen, I evaluated AI outputs for accuracy, relevance, and compliance. My work involved identifying errors and inconsistencies, as well as providing corrective input aligned to specific annotation criteria. These efforts directly contributed to improved AI system performance and reliability. • Judged 2,000+ AI responses for accuracy and overall quality. • Identified errors, ensuring corrections to enhance output precision by 10%. • Maintained a 98% score on internal quality assessments. • Worked within platform-specific guidelines for comprehensive evaluation.

Serving as an AI Rater at Appen, I evaluated AI outputs for accuracy, relevance, and compliance. My work involved identifying errors and inconsistencies, as well as providing corrective input aligned to specific annotation criteria. These efforts directly contributed to improved AI system performance and reliability. • Judged 2,000+ AI responses for accuracy and overall quality. • Identified errors, ensuring corrections to enhance output precision by 10%. • Maintained a 98% score on internal quality assessments. • Worked within platform-specific guidelines for comprehensive evaluation.

2024 - Present

AI Trainer | Atlas

OtherTextFine Tuning

As an AI Trainer at Atlas, I provided structured training inputs for language and reasoning tasks in AI models. Responsibilities included instructing, reviewing, and correcting outputs to ensure alignment with human standards. My contributions enabled improved learning rates and measurable enhancements in task performance. • Provided 1,000+ training inputs for diverse domains in language and reasoning. • Conducted quality audits and structured feedback for continuous AI improvement. • Enabled the model to achieve a 95% match rate to human quality standards. • Delivered insights that improved task performance by 12% over evaluation cycles.

As an AI Trainer at Atlas, I provided structured training inputs for language and reasoning tasks in AI models. Responsibilities included instructing, reviewing, and correcting outputs to ensure alignment with human standards. My contributions enabled improved learning rates and measurable enhancements in task performance. • Provided 1,000+ training inputs for diverse domains in language and reasoning. • Conducted quality audits and structured feedback for continuous AI improvement. • Enabled the model to achieve a 95% match rate to human quality standards. • Delivered insights that improved task performance by 12% over evaluation cycles.

2024 - Present

Human Reviewer & Team Lead | Humanatics

HumanaticAudioClassification

As a Human Reviewer and Team Lead at Humanatics, I analyzed and categorized call interaction data. The process focused on accurately labeling agent-user dialogue outcomes and data exchanges within customer support audio. I led and trained a review team to ensure annotation consistency and insights generation from labeled data. • Labeled and classified 5,000+ customer call audio interactions. • Captured data exchange outcomes and key quality metrics. • Enabled marketing insights and contributed to improved sales strategies. • Led and coached a team of 10 reviewers for improved onboarding efficiency.

As a Human Reviewer and Team Lead at Humanatics, I analyzed and categorized call interaction data. The process focused on accurately labeling agent-user dialogue outcomes and data exchanges within customer support audio. I led and trained a review team to ensure annotation consistency and insights generation from labeled data. • Labeled and classified 5,000+ customer call audio interactions. • Captured data exchange outcomes and key quality metrics. • Enabled marketing insights and contributed to improved sales strategies. • Led and coached a team of 10 reviewers for improved onboarding efficiency.

2022 - Present

Education

Work History