Ife O.

Key Skills

Software

Other

Top Subject Matter

Artificial Intelligence fundamentals and data annotation (text-oriented concepts)

Prompt engineering for LLM instruction and response behavior

Natural Language Processing (NLP) fundamentals for language AI training

Top Data Types

Text

Image

Top Task Types

Question Answering

Prompt + Response Writing (SFT)

Entity (NER) Classification

Freelancer Overview

AI Fundamentals & Data Annotation (Online Coursework Completed 2026). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Ordinary National Diploma, University of Lagos (UNILAG) and AI Fundamentals and Data Annotation Certificate, N/A (2026). AI-training focus includes data types such as Text and labeling workflows including Question Answering, Prompt + Response Writing (SFT), and Entity (NER) Classification.

Labeling Experience

Prompt Engineering for AI Models (Self-Study & Online Resources Ongoing)

OtherTextPrompt + Response Writing (SFT)

Engaged in ongoing self-study to strengthen prompt engineering skills for large language models (LLMs). Focuses on producing clear and accurate prompts that guide model outputs, supporting AI training and evaluation workflows. Develops iterative prompt refinement habits relevant to supervised fine-tuning and instruction-following tasks. • Works on optimizing prompts for clarity, conciseness, and accuracy. • Practices crafting prompts intended to elicit desired model responses. • Applies prompt-writing approaches aligned with LLM behavior control. • Builds capability useful for text generation and QA-style AI evaluation contexts.

2026 - Present

Introduction to Natural Language Processing (NLP) (Online Coursework Completed 2026)

OtherTextEntity (NER) Classification

Completed Introduction to Natural Language Processing (NLP) coursework covering foundational methods used in language-focused AI systems. Studied text preprocessing and language modeling concepts that commonly underpin text annotation and labeling strategies. Acquired background relevant to language specialist roles and structured text understanding for downstream labeling and evaluation. • Learned text preprocessing concepts used prior to labeling/model training. • Explored sentiment analysis and language modeling fundamentals. • Studied approaches for understanding and processing human language. • Prepared to support annotation and evaluation tasks involving text semantics.

2026 - 2026

AI Fundamentals & Data Annotation (Online Coursework Completed 2026)

OtherTextQuestion Answering

Completed coursework in AI Fundamentals & Data Annotation, focusing on the importance of high-quality labeled data for training AI systems. Built practical familiarity with data annotation workflows and quality considerations across multiple modality examples used in annotation exercises. Applied foundational concepts expected for text-based annotation and downstream AI behavior improvement. • Learned core principles of AI and Machine Learning pipelines as they relate to annotated datasets. • Practiced/understood common data annotation techniques applicable to text labeling tasks. • Reviewed the role of consistency and label quality in model performance. • Gained preparation for prompt-driven and language-focused AI training contexts.

2026 - 2026

Education

Work History