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O

Obinna Anako

LLM Response Evaluation & Annotation Practice | Independent Portfolio Project

USA flagsilver spring, Usa
$18.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

AI Training
LLM Evaluation
General and Technical Reasoning

Top Data Types

TextText
VideoVideo
ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

LLM Response Evaluation & Annotation Practice | Independent Portfolio Project. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, University of Maryland, College Park (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

IntermediateEnglish

Labeling Experience

LLM Response Evaluation & Annotation Practice | Independent Portfolio Project

OtherText
Evaluated AI-generated answers for instruction following, factual accuracy, clarity, tone, and completeness using detailed rubric criteria. Provided concise, written rationales explaining choices, missing requirements, hallucination risks, and improvement opportunities. Assessed technical prompts across React, JavaScript, APIs, data analysis, and general reasoning for ambiguity and edge cases. • Conducted systematic review of LLM and generative AI model outputs • Focused on consistency and objectivity in annotation • Ensured feedback is actionable for future AI improvement • Materials included both technical and general domain content.

Evaluated AI-generated answers for instruction following, factual accuracy, clarity, tone, and completeness using detailed rubric criteria. Provided concise, written rationales explaining choices, missing requirements, hallucination risks, and improvement opportunities. Assessed technical prompts across React, JavaScript, APIs, data analysis, and general reasoning for ambiguity and edge cases. • Conducted systematic review of LLM and generative AI model outputs • Focused on consistency and objectivity in annotation • Ensured feedback is actionable for future AI improvement • Materials included both technical and general domain content.

2024 - 2024

Data Labeling Quality Workflow | Independent Portfolio Project

OtherTextClassification
Developed and executed a structured workflow for categorizing text examples by intent, quality issues, safety concerns, and user needs. Maintained and created label review notes to improve consistency and accuracy across data labeling annotators. Focused on ambiguity reduction and provided enhancements for building higher-quality training datasets. • Emphasized structured review to elevate dataset quality • Aimed to minimize classification errors and ambiguities • Supported transparent documentation with review notes • Workflow designed to reinforce label harmonization and model training value.

Developed and executed a structured workflow for categorizing text examples by intent, quality issues, safety concerns, and user needs. Maintained and created label review notes to improve consistency and accuracy across data labeling annotators. Focused on ambiguity reduction and provided enhancements for building higher-quality training datasets. • Emphasized structured review to elevate dataset quality • Aimed to minimize classification errors and ambiguities • Supported transparent documentation with review notes • Workflow designed to reinforce label harmonization and model training value.

2023 - 2023

Education

U

University of Maryland, College Park

Bachelor of Science, Computer Science

Bachelor of Science
2020 - 2024

Work History

G

Global Distance Learning Institute

Networking Department Intern

Abuja
2022 - Present
Z

Zillow

Software Development Intern

Seattle
2023 - 2023