Ayomide Rotimi

Key Skills

Software

Scale AI

Telus

Top Subject Matter

Large Language Models

AI Safety

Nlp Domain Expertise

Top Data Types

Text

Document

Top Task Types

RLHF

Classification

Freelancer Overview

AI Training Specialist (Contract) | AI Training Platform – Remote. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and Scale AI. Education includes Bachelor of Science, University of Alaska (2020). AI-training focus includes data types such as Text and labeling workflows including RLHF, Classification, and Evaluation.

Labeling Experience

AI Training Specialist (Contract) | AI Training Platform – Remote

TextRLHF

As an AI Training Specialist, I trained and fine-tuned large language models via RLHF evaluations for accuracy and safety. I assessed model outputs, identified hallucinations and policy violations, and provided structured feedback. My work focused on optimizing model performance, prompt engineering, and maintaining quality metrics. • Led RLHF evaluations on text-based LLM outputs for alignment and helpfulness. • Delivered structured, rubric-based feedback on logical consistency and safety. • Implemented prompt rewriting and response refinement for optimal outcomes. • Maintained high task throughput while ensuring top data quality.

As an AI Training Specialist, I trained and fine-tuned large language models via RLHF evaluations for accuracy and safety. I assessed model outputs, identified hallucinations and policy violations, and provided structured feedback. My work focused on optimizing model performance, prompt engineering, and maintaining quality metrics. • Led RLHF evaluations on text-based LLM outputs for alignment and helpfulness. • Delivered structured, rubric-based feedback on logical consistency and safety. • Implemented prompt rewriting and response refinement for optimal outcomes. • Maintained high task throughput while ensuring top data quality.

2023 - Present

AI Data Annotator | Scale AI – Remote

Scale AITextClassification

In my role as an AI Data Annotator, I classified and labeled large textual datasets to support NLP model fine-tuning. I executed fact-verification protocols to uphold the accuracy and integrity of datasets. Additionally, I collaborated with QA leads to resolve annotation edge cases and refine guidelines. • Categorized and labeled diverse NLP text data for model development. • Applied protocols for fact verification and annotation quality. • Communicated regularly with QA teams to resolve ambiguous cases. • Contributed to the improvement of annotation guidelines during large-scale projects.

In my role as an AI Data Annotator, I classified and labeled large textual datasets to support NLP model fine-tuning. I executed fact-verification protocols to uphold the accuracy and integrity of datasets. Additionally, I collaborated with QA leads to resolve annotation edge cases and refine guidelines. • Categorized and labeled diverse NLP text data for model development. • Applied protocols for fact verification and annotation quality. • Communicated regularly with QA teams to resolve ambiguous cases. • Contributed to the improvement of annotation guidelines during large-scale projects.

2022 - 2023

Technical Content Analyst | TELUS International AI – Remote

TelusText

As a Technical Content Analyst, I evaluated search and conversational AI outputs to assess relevance and cultural alignment. I documented model bias, recurring errors, and supported multilingual AI performance improvements. My efforts ensured data labeled met high standards of cross-cultural suitability and model reliability. • Evaluated AI-generated content in multiple languages for bias detection. • Rated conversational outputs for relevance and appropriateness. • Worked cross-functionally to identify and address systemic model failures. • Supported documentation processes to inform further AI training.

As a Technical Content Analyst, I evaluated search and conversational AI outputs to assess relevance and cultural alignment. I documented model bias, recurring errors, and supported multilingual AI performance improvements. My efforts ensured data labeled met high standards of cross-cultural suitability and model reliability. • Evaluated AI-generated content in multiple languages for bias detection. • Rated conversational outputs for relevance and appropriateness. • Worked cross-functionally to identify and address systemic model failures. • Supported documentation processes to inform further AI training.

2020 - 2021

Education

Work History