Quadri A.

Key Skills

Software

Other

Top Subject Matter

AI output evaluation (LLM/Content moderation)

Prompt engineering and LLM training datasets (RLHF/SFT)

Multi-modal dataset annotation for AI training

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Classification

Freelancer Overview

AI Content Evaluator & Prompt Quality Analyst (LORA Trainer & Prompt Engineer). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Bachelor of Science, Kwara State University (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

LORA Trainer & Prompt Engineer (training dataset and prompt engineering)

OtherTextPrompt + Response Writing (SFT)

Engineered and contributed prompts for RLHF and SFT training pipelines to improve model robustness and generalization. Generated diverse, domain-specific text samples across multiple topic categories to stress-test ambiguity and edge cases. Maintained reusable guidance and edge-case documentation to support consistent feedback delivery and new annotator onboarding. • Engineered 500+ prompts for RLHF and SFT pipelines with improved diversity and edge-case coverage. • Built training datasets using 8 topic categories with domain-specific text generation. • Authored structured feedback to strengthen rubric-based assessment of language model outputs. • Maintained annotation guidelines and edge-case documentation that reduced new annotator onboarding time by 30%.

2021 - Present

AI Content Evaluator & Prompt Quality Analyst (LORA Trainer & Prompt Engineer)

OtherText

Served as an AI content evaluator and prompt quality analyst, reviewing large volumes of AI-generated responses and rating them against structured criteria. Focused on identifying hallucinations, logical inconsistencies, and instruction-following failures to support model improvement. Maintained high inter-rater agreement through calibrated tasks and rubric-based evaluation. • Evaluated 3,000+ AI-generated responses across STEM, creative writing, and coding using rubrics. • Achieved 97% inter-rater agreement and 97% quality consistency across evaluated outputs. • Provided detailed feedback reports for model output errors across 5 distinct evaluation campaigns. • Contributed to red-teaming by flagging adversarial prompt patterns to reduce safety violations.

2021 - Present

Data Annotator / LLM Data Work (AI Content Evaluator)

OtherImageClassification

Performed data annotation and classification across multi-modal datasets, including image-derived content components. Helped prepare labeled data for AI systems by processing 10,000+ data points with sustained accuracy. Applied quality-focused labeling practices to maintain strong inter-rater and annotation reliability. • Annotated and classified datasets spanning image, text, and audio. • Processed 10,000+ data points with 96% sustained quality accuracy. • Used maintained guidelines and edge-case notes to preserve labeling consistency. • Supported dataset preparation for AI content evaluation and training tasks.

2021 - 2023

Education

Work History