Oluwafunmilayo B.

Key Skills

Software

Scale AI

Top Subject Matter

STEM domains

multimodal AI evaluation

RLHF alignment

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Freelancer Overview

AI Training Specialist & Data Analyst — Scale AI (Outlier). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, N, and A. Education includes Bachelor of Science, University of Ilorin. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Model Training Impact (Domain Expert Evaluator)

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Delivered expert-level feedback used to improve AI model performance across thousands of evaluations. Applied domain expertise in Chemistry, Mathematics, and Finance to refine technical outputs and assessment quality. Consistently met quality benchmarks in remote AI training environments. • Provided high-precision feedback during evaluation cycles • Refined technical outputs using subject-matter expertise • Verified guideline compliance during reviews • Improved outcomes across large-scale evaluation batches

2025 - Present

AI Data Annotator & Content Evaluator — Atlas Capture

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Completed high-volume annotation and content evaluation tasks under evolving guidelines with consistent quality. Conducted detailed QA checks to reduce error rates in training datasets. Ensured annotated outputs remained aligned with the latest instructions and labeling standards. • Performed detailed quality assurance on labeled items • Annotated at high volume while guidelines changed • Checked for labeling errors and inconsistencies • Supported continuous dataset improvement for model training

2025 - 2025

AI Training Support (RLHF) — Scale AI (Outlier)

Scale AITextRLHF

Contributed to RLHF pipelines by providing expert feedback that helped align AI system behavior with professional and academic standards. Participated in iterative evaluation and correction workflows to ensure outputs met expected criteria. Focused on maintaining quality consistency under evolving requirements. • Reviewed responses for compliance and correctness • Fed back corrections to support preference/feedback learning • Ensured adherence to updated annotation and evaluation guidelines • Supported high-volume training iterations

2025 - 2025

AI Training Specialist & Data Analyst — Scale AI (Outlier)

Scale AIText

Reviewed 5,000+ AI responses across STEM domains to assess reasoning quality, correctness, and adherence to guidelines. Maintained approximately 98% annotation and evaluation accuracy while working with complex datasets. Identified and corrected issues including hallucinations, logical inconsistencies, and factual errors in LLM outputs. • Evaluated model outputs against task and safety/guideline criteria • Provided corrective feedback to improve response quality • Performed high-throughput review cycles for large batches • Supported RLHF pipeline alignment with professional and academic standards

2024 - 2025

Education

Work History