Ridwan O.

Key Skills

Software

Don't disclose

Other

CVAT

Data Annotation Tech

Appen

Clickworker

Top Subject Matter

LLM prompt engineering and machine-ready document preparation

Computer vision dataset annotation (segmentation and bounding boxes)

ASR and structured audio-text dataset labeling

Top Data Types

Document

Image

Audio

Text

Top Task Types

Prompt + Response Writing (SFT)

Segmentation

Transcription

Freelancer Overview

Freelance AI Specialist & Document Consultant (Data annotation, prompt engineering, document formatting). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose and Other. Education includes Higher National Diploma, Kwara State Polytechnic (2022). AI-training focus includes data types such as Document, Image, and Audio and labeling workflows including Prompt + Response Writing (SFT), Segmentation, and Transcription.

Labeling Experience

Freelance AI Specialist & Document Consultant (Data annotation, prompt engineering, document formatting)

Don't discloseDocumentPrompt + Response Writing (SFT)

Provided LLM prompt engineering and document-conversion services to turn ambiguous briefs into structured, machine-ready outputs. Ensured safety compliance and contextual relevance in generated prompts to improve downstream model performance. Maintained a high client satisfaction rate through consistent quality and deliverable formatting. • Refined complex prompts for high contextual relevance and safety compliance • Converted unstructured project briefs into structured documents usable for ML workflows • Delivered technical document formatting alongside annotation and prompt engineering • Supported global clients with structured, high-quality deliverables

2024 - Present

Image Segmentation Annotator (Contract, remote)

OtherImageSegmentation

Performed pixel-level image segmentation labeling and bounding box placement for large-scale computer vision datasets. Followed granular platform and team guidelines to produce consistent annotations across multi-batch workflows. Conducted QA checks on cross-team submissions and corrected labeling anomalies before dataset injection into model training. • Executed complex image segmentation with pixel-level labeling • Labeled bounding boxes for precise object localization • Maintained 98%+ accuracy while adhering to platform guidelines • Performed rigorous QA to identify and fix labeling anomalies prior to use

2026 - 2026

Audio Transcription Annotator (Contract, remote)

OtherAudioTranscription

Transcribed complex multi-speaker audio into accurate text capturing context, tone, and localized dialects for ASR-related datasets. Applied speaker identification labels and sound event logging to support structured NLP dataset creation. Exceeded daily processing quotas in a high-volume, deadline-driven remote environment while maintaining transcription quality. • Transcribed multi-speaker audio with contextual and dialect accuracy • Labeled speaker identities and logged sound events for NLP/ASR datasets • Captured tone and contextual cues for improved downstream training • Consistently surpassed daily quota by ~15% in high-volume deadlines

2025 - 2025

Education

Work History