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Mathias Unwaba

Mathias Unwaba

AI Content Evaluation & Data Annotation (Freelance Projects)

MALAYSIA flag
Kuala Lumpur, Malaysia
$100.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

Large Language Models / AI-generated Text
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument

Top Task Types

RLHF

Freelancer Overview

AI Content Evaluation & Data Annotation (Freelance Projects). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Abuja (2021). AI-training focus includes data types such as Text and labeling workflows including RLHF.

ExpertEnglish

Labeling Experience

AI Content Evaluation & Data Annotation (Freelance Projects)

OtherTextRLHF
As an AI Content Evaluator and Data Annotator, I reviewed AI-generated text for clarity, tone, and factual accuracy. I applied structured evaluation rubrics to rank and fine-tune AI model outputs, identifying errors and inconsistencies. My work supported supervised fine-tuning and reinforcement learning from human feedback in prompt-based evaluation environments. • Evaluated 1,000+ text responses for policy compliance and consistency. • Authored ground-truth answers to enhance supervised fine-tuning (SFT) workflows. • Maintained over 95% internal quality benchmark following annotation guidelines. • Processed and documented 40–60 prompts per day ensuring accuracy and feedback quality.

As an AI Content Evaluator and Data Annotator, I reviewed AI-generated text for clarity, tone, and factual accuracy. I applied structured evaluation rubrics to rank and fine-tune AI model outputs, identifying errors and inconsistencies. My work supported supervised fine-tuning and reinforcement learning from human feedback in prompt-based evaluation environments. • Evaluated 1,000+ text responses for policy compliance and consistency. • Authored ground-truth answers to enhance supervised fine-tuning (SFT) workflows. • Maintained over 95% internal quality benchmark following annotation guidelines. • Processed and documented 40–60 prompts per day ensuring accuracy and feedback quality.

2023 - Present

Education

U

University of Abuja

Bachelor of Science, Political Science and International Relations

Bachelor of Science
2021 - 2021

Work History

C

Concentrix

Advisor I, Customer Service

Kuala Lumpur
2023 - Present
A

Agro Financial Group

Content Manager

Abuja
2021 - 2021