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Rifal Mwi

Independent Data Annotation Training – Object Labeling

Indonesia flagSurabaya, Indonesia
Intermediate

Key Skills

Software

No software listed

Top Subject Matter

Artificial Intelligence
Object Recognition
Text Categorization

Top Data Types

ImageImage
TextText

Top Task Types

Object Detection
Classification
Prompt Response Writing SFT

Freelancer Overview

Independent Data Annotation Training – Object Labeling. Core strengths include N, A, and Microsoft Excel. AI-training focus includes data types such as Image and Text and labeling workflows including Object Detection, Classification, and Evaluation.

Intermediate

Labeling Experience

AI Instruction Creation (Prompt Writing) – Self-Project

TextPrompt Response Writing SFT
Created example questions and commands to train AI models in natural language reasoning and understanding. Developed clear and effective instructions for prompt-based training scenarios. Tested and refined multiple prompt variations to optimize AI performance. • Composed training prompts and instructions • Experimented with prompt phrasing for best AI results • Enhanced AI understanding through well-crafted examples • Facilitated supervised fine-tuning for large language models

Created example questions and commands to train AI models in natural language reasoning and understanding. Developed clear and effective instructions for prompt-based training scenarios. Tested and refined multiple prompt variations to optimize AI performance. • Composed training prompts and instructions • Experimented with prompt phrasing for best AI results • Enhanced AI understanding through well-crafted examples • Facilitated supervised fine-tuning for large language models

Present

AI Response Evaluation – Independent Quality Checking

Text
Evaluated the quality of AI-generated responses by assessing clarity, relevance, and accuracy. Identified mistakes or inaccurate information and provided constructive feedback for improvement. Ensured the reliability and usefulness of AI outputs through careful review. • Assessed AI responses according to specified criteria • Pinpointed errors and inconsistencies in AI-generated answers • Delivered suggestions to enhance AI performance • Maintained rigorous evaluation standards for quality assurance

Evaluated the quality of AI-generated responses by assessing clarity, relevance, and accuracy. Identified mistakes or inaccurate information and provided constructive feedback for improvement. Ensured the reliability and usefulness of AI outputs through careful review. • Assessed AI responses according to specified criteria • Pinpointed errors and inconsistencies in AI-generated answers • Delivered suggestions to enhance AI performance • Maintained rigorous evaluation standards for quality assurance

Present

Independent Data Annotation Training – Text Classification

TextClassification
Grouped simple text data into categories to assist with training text-based AI models. Followed detailed guidelines to accurately classify various text samples. Worked independently to ensure uniformity and reliability in labeled data. • Categorized textual data for use in AI training datasets • Applied classification labels based on provided criteria • Maintained high standards of accuracy and attention to detail • Utilized spreadsheet tools for labeling and documentation

Grouped simple text data into categories to assist with training text-based AI models. Followed detailed guidelines to accurately classify various text samples. Worked independently to ensure uniformity and reliability in labeled data. • Categorized textual data for use in AI training datasets • Applied classification labels based on provided criteria • Maintained high standards of accuracy and attention to detail • Utilized spreadsheet tools for labeling and documentation

Present

Independent Data Annotation Training – Object Labeling

ImageObject Detection
Conducted image data annotation by labeling objects such as people and vehicles for AI training purposes. Ensured high attention to detail while following instructions for accurate object identification and classification. Performed annotations independently using basic annotation techniques. • Labeled objects in images according to predefined classes • Applied object detection techniques to various image datasets • Maintained consistency and accuracy in labeling tasks • Managed tasks independently as a self-driven annotator

Conducted image data annotation by labeling objects such as people and vehicles for AI training purposes. Ensured high attention to detail while following instructions for accurate object identification and classification. Performed annotations independently using basic annotation techniques. • Labeled objects in images according to predefined classes • Applied object detection techniques to various image datasets • Maintained consistency and accuracy in labeling tasks • Managed tasks independently as a self-driven annotator

Present

Education

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Work History

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