Xmshowcase

Key Skills

Software

Remotasks

Clickworker

Appen

Top Subject Matter

AI training data annotation for object recognition and content moderation.

AI training data annotation for language processing.

AI training data annotation for 3D sensor understanding.

Top Data Types

Image

Audio

3D Sensor

Text

Top Task Types

Object Detection

Transcription

Cuboid

Classification

Freelancer Overview

AI Data Trainer (Data annotation and quality evaluation). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks. Education includes Bachelor of Information Systems, Universitas DIPA Makassar (2011). AI-training focus includes data types such as Image, Audio, and 3D Sensor and labeling workflows including Object Detection, Transcription, and Cuboid.

Labeling Experience

AI Data Trainer (AI quality evaluation and rating)

RemotasksImage

Conducted evaluation and review of annotation results to ensure they met project quality standards. Used multi-level verification methods to improve label reliability and reduce inconsistencies. Supported training and quality evaluation of generative AI and chatbot outputs with a focus on safety and data security. • Evaluation of annotation quality against technical requirements. • Review for consistency and relevance across labeled items. • Multi-level verification as part of the lead reviewer workflow. • Ensured alignment with safety and data security policies.

2021 - 2024

AI Data Trainer (Classification and data categorization)

RemotasksTextClassification

Carried out data categorization tasks to label and organize training data for AI workflows. Ensured classification consistency, accuracy, and relevance using detail-oriented review methods. Contributed to multi-level verification as part of AI Training & Quality Evaluation to improve safe and accurate chatbot and generative AI behavior. • Data categorization for supervised learning datasets. • Quality review for classification consistency and accuracy. • Relevance checks to support content moderation use cases. • Multi-level verification within lead reviewer processes.

2021 - 2024

AI Data Trainer (3D LIDAR annotation and quality verification)

Remotasks3D SensorCuboid

Performed 3D LIDAR annotation to produce structured sensor labels for AI model training. Applied rigorous evaluation and review to ensure labeled data was consistent, accurate, and relevant to the intended recognition tasks. Used multi-level verification to support overall training quality for AI and chatbot systems. • 3D LIDAR annotation under strict technical standards. • Verification of annotation consistency and correctness. • Relevance checks to ensure usable training data. • Participation in multi-level lead reviewer quality processes.

2021 - 2024

AI Data Trainer (Audio transcription and quality evaluation)

RemotasksAudioTranscription

Completed audio transcription tasks to generate labeled speech data for language processing and downstream model training. Performed evaluation and review methods to maintain transcription consistency and accuracy. Participated in multi-level verification to support chatbot and generative AI system quality, safety, and compliance. • Audio transcription under technical quality requirements. • Detailed review for consistency and accuracy of transcripts. • Label relevance checks for training usefulness. • Multi-level verification within AI Training & Quality Evaluation.

2021 - 2024

AI Data Trainer (Data annotation and quality evaluation)

RemotasksImageObject Detection

Performed image labeling and bounding box marking to create high-quality datasets for AI model training. Applied detail-oriented evaluation and review to ensure consistency, accuracy, and relevance of annotation results. Used multi-level verification as part of AI Training & Quality Evaluation to improve generative AI and chatbot performance while maintaining safety and data security. • Image labeling under strict technical standards. • Bounding box marking for object recognition tasks. • Consistency and accuracy checks across annotation outputs. • Multi-level review/verification as lead reviewer.

2021 - 2024

Education

Work History