Rihdwan O.

Key Skills

Software

Data Annotation Tech

Appen

Label Studio

Top Subject Matter

Data Annotation (Text, Image, Audio, Video)

AI Output Evaluation

Dataset Quality Assurance & Control

Top Data Types

Audio

Text

Image

Top Task Types

Audio Recording

Entity (NER) Classification

Freelancer Overview

Between November 2023 and February 2026, I contributed 1,000+ audio data samples (4+ hours of recordings), and mapped 32,000+ geospatial hexagons (163+ hours) of location data to Silencio’s AI training pipeline. Data contribution was done while maintaining consistent standards, ensuring data completeness, geographic coverage, and quality alignment with platform collection protocols. I annotated 10,000+ data samples spanning text classification, NER, sentiment analysis, image labelling, and audio transcription for LLM and computer vision pipelines for Appen between January 2024 - Dec 2024. Also generated diverse, high-quality prompts and model responses for RLHF and RLAIF training datasets, supporting alignment and instruction-following model development. I evaluated and ranked AI-generated outputs against defined quality rubrics, contributing to model safety evaluation and continuous improvement workflows.

Labeling Experience

AI Data Quality Analyst — Data Annotation.tech (Remote)

Data Annotation TechText

Performed systematic quality checks on text, code, and multimodal annotated datasets to verify adherence to project guidelines, client standards, and rubric specifications. Identified, categorized, and logged dataset defects such as annotation errors, inconsistencies, and guideline deviations using structured templates. Tracked corrective actions and rework end-to-end, confirming resolution and updating defect logs upon closure while enforcing version-controlled quality guidelines. • Verified rubric and guideline compliance for batch-level deliverables • Logged defects and maintained defect-tracking records • Followed up with annotators to confirm corrective actions • Produced client-ready quality reports with key metrics and defect trends

2025 - Present

AI Training Data Contributor — Silencio AI (Remote)

OtherAudioAudio Recording

Contributed 1,000+ audio data samples (4+ hours of recordings) to support noisemapping and acoustic AI model development for real-world audio collection. Maintained consistent contribution standards across an 18-month engagement to ensure dataset completeness and geographic coverage. Followed platform collection protocols to keep quality alignment for downstream training pipelines. • Recorded and contributed local dialect sound data • Supported environmental monitoring and urban intelligence use cases • Mapped 32,000+ geospatial hexagons with 163+ hours of location data • Ensured adherence to data completeness and quality requirements with structured standards

2023 - 2026

AI Data Annotator & Model Trainer — Appen (Remote)

AppenTextEntity (NER) Classification

Annotated 10,000+ data samples covering text classification, NER, sentiment analysis, image labeling, and audio transcription for LLM and computer vision pipelines. Generated diverse prompts and model responses to support RLHF and RLAIF training datasets for alignment and instruction-following improvement. Evaluated and ranked AI outputs against defined quality rubrics to support model safety evaluation and continuous improvement workflows. • Maintained annotation accuracy above 95% and met IRR thresholds • Produced high-quality prompts and responses for RLHF/RLAIF datasets • Completed guideline- and SOP-compliant labeling across concurrent projects • Performed AI output evaluation and rubric-based ranking

2024 - 2024

Education

Work History