Odianosen Okonofua

Key Skills

Software

Remotasks

Other

Top Subject Matter

AI Model Evaluation

AI Model Evaluation Frameworks

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Fine-tuning

Evaluation/Rating

Function Calling

Prompt + Response Writing (SFT)

Freelancer Overview

AI Trainer / Evaluator – Independent. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks and Other. Education includes Bachelor of Science, Université Paris-Saclay (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Evaluation Framework Project Contributor

OtherText

I contributed to the development of an AI Evaluation Framework focused on structured assessment rubrics. This work involved designing tools to measure LLM outputs for accuracy, tone, and reasoning quality. The rubric established standardized benchmarks for ongoing model evaluation. • Developed framework with multi-dimensional assessment criteria for LLM outputs. • Defined accuracy, tone, and reasoning depth as core evaluation metrics. • Enabled repeatable and objective comparisons of different model outputs. • Supported scaling and improvement of future LLM evaluation processes.

I contributed to the development of an AI Evaluation Framework focused on structured assessment rubrics. This work involved designing tools to measure LLM outputs for accuracy, tone, and reasoning quality. The rubric established standardized benchmarks for ongoing model evaluation. • Developed framework with multi-dimensional assessment criteria for LLM outputs. • Defined accuracy, tone, and reasoning depth as core evaluation metrics. • Enabled repeatable and objective comparisons of different model outputs. • Supported scaling and improvement of future LLM evaluation processes.

2024 - Present

AI Trainer / Evaluator – Independent

RemotasksText

As an independent AI Trainer and Evaluator, I systematically reviewed large language model outputs for accuracy and alignment. I designed challenging prompts to evaluate model reasoning and addressed edge cases to refine AI behavior. Structured feedback and precision annotation improved overall model performance and reliability. • Evaluated text responses for coherence, factual alignment, and intent consistency. • Created and analyzed edge-case prompts to test LLM reasoning depth. • Provided structured, actionable feedback to guide model improvement cycles. • Focused on robust annotation methodologies in a remote, independent setting.

As an independent AI Trainer and Evaluator, I systematically reviewed large language model outputs for accuracy and alignment. I designed challenging prompts to evaluate model reasoning and addressed edge cases to refine AI behavior. Structured feedback and precision annotation improved overall model performance and reliability. • Evaluated text responses for coherence, factual alignment, and intent consistency. • Created and analyzed edge-case prompts to test LLM reasoning depth. • Provided structured, actionable feedback to guide model improvement cycles. • Focused on robust annotation methodologies in a remote, independent setting.

2024 - Present

Education

Work History