Emmanuel O.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

LLM evaluation and prompt/response review

Image/screenshot review for AI training quality

Linear Algebra and Complex Analysis (math education)

Top Data Types

Text

Audio

Image

Top Task Types

Question Answering

Classification

Evaluation/Rating

Data Collection

Transcription

Freelancer Overview

Independent AI Evaluation & Data Review Practice (Remote). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, Obafemi Awolowo University (2028). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Question Answering.

Labeling Experience

Peer Tutor - MTH202: Linear Algebra & Complex Analysis (Obafemi Awolowo University)

OtherTextQuestion Answering

Provided tutoring focused on step-by-step mathematical explanations and guiding peer problem-solving using logical reasoning. Verified accuracy through reasoning checks and evidence-based conclusions while explaining concepts clearly. Supported learners by translating abstract topics into structured guidance that improves correctness and understanding. • Simplified complex concepts into clear, sequential explanations • Guided peers through problem-solving with accuracy checks • Ensured evidence-based reasoning and conclusion validation • Communicated technical methods in a structured tutoring format

2025 - Present

Independent AI Evaluation & Data Review Practice (Remote)

Don't discloseImage

Evaluated AI-generated visual and interface-like outputs for formatting, consistency, and observable UI elements. Identified mismatches in screenshot/image content such as object placement, UI visibility, and formatting errors. Provided concise feedback using evidence from the images rather than assumptions. • Compared screenshots/images to verify visible UI elements • Detected inconsistencies in layout, placement, and formatting • Assessed interface-like outputs for completeness and correctness • Wrote evidence-based evaluation notes to support decisions

2025 - Present

Independent AI Evaluation & Data Review Practice (Remote)

Don't discloseText

Conducted remote AI evaluation for prompt-following and output quality, reviewing accuracy, completeness, and unsupported assumptions. Compared outputs against visible evidence and guideline-based criteria to ensure reliability and reduce guesswork. Documented concise, observable-based evaluation notes to support consistent judgments. • Reviewed AI-generated text outputs for quality and guideline compliance • Rated/assessed prompt-following behavior and missing details • Checked for hallucinations and unsupported claims • Produced structured rationale notes grounded in evidence

2025 - Present

Education

Work History