Afolearning E.

Key Skills

Software

Don't disclose

Top Subject Matter

LLM evaluation and RLHF for text outputs

Document extraction

audio transcription

Top Data Types

Text

Document

Image

Top Task Types

RLHF

Data Collection

Freelancer Overview

AI Content Evaluator / Senior Data Annotator | Outlier. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Master of Arts, University of Lagos (2015) and Certificate, Ekolance (2020). AI-training focus includes data types such as Text and Document and labeling workflows including RLHF and Data Collection.

Labeling Experience

AI Content Evaluator / Senior Data Annotator | Outlier

Don't discloseTextRLHF

Serve as an AI content evaluator ranking AI-generated text using Reinforcement Learning from Human Feedback (RLHF) methods. Perform systematic review to assess response quality with emphasis on factuality and safety. Support model improvement by identifying problematic outputs and the linguistic issues that lead to hallucinations or biased behavior.• Rank AI-generated text outputs via RLHF-based evaluation criteria.• Conduct factuality audits to flag hallucinations and incorrect claims.• Run safety checks to identify unsafe or bias-inducing content patterns.• Provide evaluation findings that help improve LLM accuracy, factuality, and safety.

2025 - Present

Data Annotation Specialist | Atlas Capture

Don't discloseDocumentData Collection

Work as a data annotation specialist overseeing high-accuracy document data extraction and multi-speaker audio transcription pipelines. Perform multi-modal labeling to generate training-ready datasets with measured quality assurance exceeding 98%. Ensure labeled outputs are consistent and suitable for downstream machine learning model training and evaluation.• Manage document data extraction tasks for structured dataset creation.• Coordinate multi-speaker audio transcription efforts as part of multi-modal labeling.• Perform multi-modal data labeling to support machine learning training sets.• Maintain rigorous quality assurance to achieve 98%+ labeling accuracy.

2023 - 2025

Education

Work History