Abraham P.

Key Skills

Software

No software listed

Top Subject Matter

Scientific and engineering concepts

LLM output training

academic text annotation

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI Model Trainer & Technical Content Annotator (Independent/Academic Work). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Engineering, Ahmadu Bello University (2023) and Secondary School Certificate, Christ College (2023). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

AI Optimization and Model Evaluation Contributor (Independent Project)

Text

Evaluated model outputs using factual verification, fluency scoring, and clarity ranking techniques. Provided structured revision feedback to enhance model output quality and contextual reliability. Supported model optimization by participating in AI output evaluation and improvement processes. • Applied logic trees and chain-of-thought decomposition for technical content creation. • Helped implement retrieval-ready formats for scientific explanations. • Involved in iterative model testing, feedback, and performance enhancement. • Emphasis on improving accuracy, quality, and user alignment of AI models.

2023 - Present

AI Model Trainer & Technical Content Annotator (Independent/Academic Work)

TextPrompt + Response Writing (SFT)

Designed, tested, and refined AI prompts to create structured, factual, and safety-aligned data for model training. Analyzed and evaluated AI model responses for accuracy, clarity, bias, and adherence to instructions. Generated technical content and curated datasets to support scientific and engineering model learning objectives. • Synthesized complex academic materials into annotated, model-friendly formats. • Developed rubrics and feedback loops for model performance improvement. • Focused on safety, reasoning, and factual alignment of language models. • Contributed to research-driven technical content annotation and instruction tuning.

2023 - Present

Education

Work History