Ola B.

Key Skills

Software

Label Studio

Other

Top Subject Matter

LLM response evaluation

dataset quality assurance

and content safety/policy compliance

Top Data Types

Text

Video

Document

Top Task Types

Red Teaming

Freelancer Overview

Freelance AI Trainer and Data Annotator (Remote). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio and Other. Education includes Bachelor of Science in Education, Olabisi Onabanjo University (2020) and Certificate in Red Teaming LLM Applications, DeepLearning.AI (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Red Teaming.

Labeling Experience

Content Reviewer and Quality Assurance Associate (Remote)

OtherTextRed Teaming

Content Reviewer and Quality Assurance Associate focused on reviewing AI outputs for policy compliance and harmful content detection. The role involved flagging unsafe or biased responses according to content moderation guidelines and supporting dataset validation through error correction. The position required meeting productivity targets and strict turnaround deadlines while maintaining labeling consistency. • Flagged unsafe or biased responses for moderation review • Assisted with dataset validation and error correction • Supported compliance-focused QA workflows • Met productivity and turnaround targets

2024 - Present

Freelance AI Trainer and Data Annotator (Remote)

Label StudioText

Freelance AI Trainer and Data Annotator responsible for evaluating AI generated responses across accuracy, relevance, coherence, and safety compliance. The work included performing response rating and ranking to improve LLM alignment and using RLHF-style guidance to deliver structured feedback for model improvement. Tasks also covered prompt rewriting and optimization, along with identifying hallucinations, factual inaccuracies, and policy violations. • Rated and ranked model outputs using evaluation criteria • Provided structured feedback aligned to RLHF guidelines • Optimized prompts to enhance generation quality • Collaborated with remote QA teams to resolve dataset label inconsistencies

2024 - Present

Education

Work History