Favour Chinedu

Key Skills

Software

Mercor

Micro1

Top Subject Matter

AI/Natural Language Processing

LLMs/Prompt Engineering

Supervised Learning/NLP

Top Data Types

Text

Document

Top Task Types

Classification

Prompt + Response Writing (SFT)

Freelancer Overview

AI Annotation Specialist | Mercor AI. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Mercor, Stellar AI, and Micro1. Education includes Master of Public Policy, University of Oxford (2026) and Bachelor of Laws, Rivers State University (2023). AI-training focus includes data types such as Text and labeling workflows including Classification and Prompt + Response Writing (SFT).

Labeling Experience

AI Data Annotator | Micro AI

Micro1TextClassification

I labeled and categorized text data for supervised learning tasks and managed ambiguous cases with clear documentation for improved guideline development. I supported multilingual annotation efforts to ensure cultural and contextual authenticity. My contributions improved the accuracy and reliability of datasets for AI training. • Categorized large volumes of text data for model development. • Addressed edge cases and provided clarifying feedback. • Enhanced guidelines to accommodate new language contexts. • Assisted in multilingual annotation and review processes.

I labeled and categorized text data for supervised learning tasks and managed ambiguous cases with clear documentation for improved guideline development. I supported multilingual annotation efforts to ensure cultural and contextual authenticity. My contributions improved the accuracy and reliability of datasets for AI training. • Categorized large volumes of text data for model development. • Addressed edge cases and provided clarifying feedback. • Enhanced guidelines to accommodate new language contexts. • Assisted in multilingual annotation and review processes.

2025 - Present

AI Annotation Specialist | Mercor AI

MercorTextClassification

I conducted large-scale annotation projects that included text classification, summarization, and dialogue evaluation for AI model training and refinement. I worked with global teams to ensure high-quality, consistent labeled datasets supporting AI development. My attention to detail contributed to enhanced accuracy and consistency in AI outputs. • Oversaw classification of diverse text datasets for model enhancement. • Ensured annotation quality through regular audits and guideline enforcement. • Collaborated with remote teams to maintain process standardization. • Delivered datasets meeting strict accuracy thresholds.

I conducted large-scale annotation projects that included text classification, summarization, and dialogue evaluation for AI model training and refinement. I worked with global teams to ensure high-quality, consistent labeled datasets supporting AI development. My attention to detail contributed to enhanced accuracy and consistency in AI outputs. • Oversaw classification of diverse text datasets for model enhancement. • Ensured annotation quality through regular audits and guideline enforcement. • Collaborated with remote teams to maintain process standardization. • Delivered datasets meeting strict accuracy thresholds.

2025 - 2026

Prompt Engineer & AI Trainer | ChatGPT & Stellar AI

TextPrompt Response Writing SFT

I designed and refined prompts, evaluated output, and provided iterative feedback to improve AI model response quality and reduce bias. My work emphasized grammar, clarity, tone, and strict adherence to user instructions. Through prompt engineering, I contributed to enhanced contextual and ethical response accuracy for LLMs. • Developed robust prompt sets for various use cases. • Performed rating and evaluation of model-generated responses. • Implemented feedback loops for continual model improvement. • Focused on bias mitigation and instruction alignment.

I designed and refined prompts, evaluated output, and provided iterative feedback to improve AI model response quality and reduce bias. My work emphasized grammar, clarity, tone, and strict adherence to user instructions. Through prompt engineering, I contributed to enhanced contextual and ethical response accuracy for LLMs. • Developed robust prompt sets for various use cases. • Performed rating and evaluation of model-generated responses. • Implemented feedback loops for continual model improvement. • Focused on bias mitigation and instruction alignment.

2024 - 2025

Education

Work History