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Rogers Otieno

Rogers Otieno

AI Response Evaluator | Reasoning & Quality Analysis

Kenya flagNairobi, Kenya
$10.00/hrEntry LevelOtherDon T Disclose

Key Skills

Software

Other
Don't disclose

Top Subject Matter

General AI / Language Model Responses
Data Analysis & Interpretation
Information Technology & Systems

Top Data Types

TextText
DocumentDocument

Top Task Types

Evaluation Rating
Data Collection
Bounding Box
Computer Programming Coding

Freelancer Overview

AI Training Specialist focused on reasoning evaluation, response quality assessment, and structured content analysis. Experienced in analyzing complex information, identifying logical inconsistencies, and producing clear, step-by-step explanations across technical and non-technical domains. Background in quantitative research and high-accuracy data workflows, with strong adherence to guidelines, consistency in decision-making, and attention to detail. Skilled in evaluating outputs for correctness, clarity, and instruction compliance, and providing well-justified rankings and improvements aligned with AI training standards.

Entry LevelEnglish

Labeling Experience

AI Response Evaluation & Reasoning Analysis

TextEvaluation Rating
Applied structured evaluation techniques to assess AI-generated responses across a range of prompts, focusing on reasoning quality, instruction adherence, and overall usefulness. Reviewed multiple outputs to compare and rank responses based on correctness, clarity, completeness, and alignment with user intent. Identified logical inconsistencies, factual inaccuracies, and instruction violations, and provided clear, structured justifications for evaluation decisions. Leveraged experience from quantitative analysis and data validation workflows to maintain consistency, precision, and high-quality judgment across repeated evaluation tasks.

Applied structured evaluation techniques to assess AI-generated responses across a range of prompts, focusing on reasoning quality, instruction adherence, and overall usefulness. Reviewed multiple outputs to compare and rank responses based on correctness, clarity, completeness, and alignment with user intent. Identified logical inconsistencies, factual inaccuracies, and instruction violations, and provided clear, structured justifications for evaluation decisions. Leveraged experience from quantitative analysis and data validation workflows to maintain consistency, precision, and high-quality judgment across repeated evaluation tasks.

2025 - Present

Education

M

Masinde Muliro University of Science and Technology

Bachelor of Science, Information Systems and Knowledge Management

Bachelor of Science
Not specified

Work History

T

TVET CDACC

Data Capturer

Eldoret
2025 - 2024
A

Aheri Basic Internet Limited

Sales & Technical Support Intern

Nairobi
2023 - 2023