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Andika Pratama Muhammad Kamaludin

Andika Pratama Muhammad Kamaludin

AI Data Trainer & Annotator

INDONESIA flag
Bandung, Indonesia
$6.00/hrEntry LevelScale AI

Key Skills

Software

Scale AIScale AI

Top Subject Matter

Large Language Model (LLM) development and safety
Multimodal AI and Computer Vision
AI Speech Model Training and ASR

Top Data Types

TextText
VideoVideo
DocumentDocument
ImageImage
AudioAudio

Top Task Types

Segmentation
Classification
Object Detection
RLHF
Transcription
Data Collection

Freelancer Overview

AI Data Trainer & Annotator with hands-on experience at Outlier.ai (Scale AI). Skilled in LLM evaluation, prompt engineering, hallucination detection, content safety assessment, audio transcription, and image annotation including human/person detection. Bilingual in English and Indonesian. Detail-oriented with a strong focus on data quality and annotation consistency.

Entry LevelIndonesianEnglish

Labeling Experience

Scale AI

AI Data Trainer & Annotator

Scale AIAudioObject DetectionRLHF
I work as a freelance AI Data Trainer at Outlier.ai (Scale AI), where I evaluate and annotate AI-generated responses for quality, accuracy, coherence, and content safety. My responsibilities include writing high-quality prompts and ideal responses, performing side-by-side model comparisons, and identifying hallucinations, factual errors, and harmful content — all as part of the RLHF pipeline for large language model development.• Reviewed and rated AI-generated responses for coherence, quality, and safety • Wrote prompts and curated ideal responses for model training (RLHF pipeline) • Conducted side-by-side comparisons of model outputs • Identified hallucinations, inaccuracies, and harmful content in text

I work as a freelance AI Data Trainer at Outlier.ai (Scale AI), where I evaluate and annotate AI-generated responses for quality, accuracy, coherence, and content safety. My responsibilities include writing high-quality prompts and ideal responses, performing side-by-side model comparisons, and identifying hallucinations, factual errors, and harmful content — all as part of the RLHF pipeline for large language model development.• Reviewed and rated AI-generated responses for coherence, quality, and safety • Wrote prompts and curated ideal responses for model training (RLHF pipeline) • Conducted side-by-side comparisons of model outputs • Identified hallucinations, inaccuracies, and harmful content in text

2026 - Present

Education

S

SMK 4 LPPM RI Padalarang

High School, Computer and Informatics Engineering

High School
2018 - 2020

Work History

S

Self-Employed

Cryptocurrency Trader

Bandung
2025 - Present
M

Muhammadiyah Hospital

Population Administration Program Coordinator

Bandung
2023 - 2025