Funmilayo O.

Key Skills

Software

Labelbox

Appen

Top Subject Matter

AI model evaluation and prompt assessment (RLHF-style response rating)

Audio dataset annotation

Image dataset annotation

Top Data Types

Text

Audio

Image

Document

Top Task Types

Transcription

Classification

Freelancer Overview

AI Data Annotation & Model Evaluation (Freelance / Remote). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Appen, and RWS Squirrel. Education includes Bachelor of Science, Imo State University. AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

AI Data Annotation & Model Evaluation (Freelance / Remote)

LabelboxImageClassification

Completed image dataset annotation to support AI training and evaluation workflows. Followed task guidelines to maintain label consistency and improve dataset quality. Performed independent, remote annotation work with attention to detail. • Annotated images following predefined instructions • Maintained accuracy and consistency across labeled samples • Conducted QA checks aligned with labeling guidelines • Worked independently in a remote task-based environment

2022 - Present

AI Data Annotation & Model Evaluation (Freelance / Remote)

LabelboxAudioTranscription

Annotated audio datasets as part of training/evaluation data preparation. Applied labeling guidelines to ensure outputs met accuracy and quality assurance requirements. Supported dataset readiness by maintaining consistent label structures across items. • Labeled audio data according to provided instructions • Performed quality assurance for labeling accuracy • Ensured guideline adherence throughout annotation tasks • Produced reliable labeled outputs for downstream model evaluation

2022 - Present

AI Data Annotation & Model Evaluation (Freelance / Remote)

LabelboxText

Performed AI response evaluation focused on accuracy and overall quality against provided guidelines. Assessed prompt-response pairs to confirm adherence to task instructions and quality criteria. Conducted guideline interpretation to ensure consistent rating outcomes across samples. • Evaluated AI-generated responses for correctness and quality • Verified prompt-response analysis against annotation/guideline rules • Performed quality assurance checks to reduce inconsistencies • Delivered consistent ratings under tight deadlines

2022 - Present

Education

Work History