Muhamad Alif Maulana

Key Skills

Software

Appen

Data Annotation Tech

OneForma

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Data Collection

Evaluation/Rating

Text Generation

Freelancer Overview

With my experience as a Data Annotation Team Leader at Appen, I led a team responsible for accurately labeling and categorizing data for training machine learning models. Additionally, in my roles as a Social Media Evaluator and Credibility Analyst, I honed my skills analyzing and assessing a wide range of digital content, from advertisements to search engine results, to ensure its quality, relevance, and safety. What sets me apart is my combination of technical evaluation expertise and proven leadership abilities. I not only possess a deep understanding of the digital content ecosystem—particularly in the areas of social media and advertising—but also the ability to manage teams to consistently achieve high data quality standards. My ability to optimize workflows and coach teams to produce accurate data makes me a valuable asset in any AI development project.

Labeling Experience

Image Data Lebeling

TelusImageClassification

As a Data Labeler at Telus, I contributed to a large-scale computer vision project for a leading photo platform client. The goal of the project was to build a rich and accurate training dataset to improve AI's ability to automatically recognize and categorize images. My primary task was to classify thousands of images from an extensive catalog, analyzing each photo and assigning relevant labels based on its content, based on a highly detailed taxonomy and project guidelines. Through this work, I helped create structured metadata that was crucial for improving the image search and recommendation system functionality on the client's platform.

As a Data Labeler at Telus, I contributed to a large-scale computer vision project for a leading photo platform client. The goal of the project was to build a rich and accurate training dataset to improve AI's ability to automatically recognize and categorize images. My primary task was to classify thousands of images from an extensive catalog, analyzing each photo and assigning relevant labels based on its content, based on a highly detailed taxonomy and project guidelines. Through this work, I helped create structured metadata that was crucial for improving the image search and recommendation system functionality on the client's platform.

2024 - 2025

Social Media Credibility Analyst

AppenVideoSegmentationClassification

As a Social Media Credibility Analyst, I play a crucial role in maintaining information integrity and combating the spread of misinformation on global social media platforms. My primary responsibility is to analyze and fact-check content that is potentially hoax, misleading, or contains false information. This process involves in-depth research and source validation to make informed decisions based on strict policy guidelines. Through this role, I directly contribute to the Trust & Safety pillar by protecting millions of users from harmful content and helping maintain a healthier and more trustworthy online ecosystem.

As a Social Media Credibility Analyst, I play a crucial role in maintaining information integrity and combating the spread of misinformation on global social media platforms. My primary responsibility is to analyze and fact-check content that is potentially hoax, misleading, or contains false information. This process involves in-depth research and source validation to make informed decisions based on strict policy guidelines. Through this role, I directly contribute to the Trust & Safety pillar by protecting millions of users from harmful content and helping maintain a healthier and more trustworthy online ecosystem.

2024 - 2025

Data Anotator

AppenAudioClassification

As a Data Annotator, I worked on a long-term project for a leading music streaming platform client with the primary goal of improving the accuracy and relevance of their internal search engine. My primary responsibility was to analyze, classify, and cluster data from a massive music catalog by providing accurate labels (annotations) based on genre, mood, era, and other relevant attributes. Each annotation was performed following a pre-established music taxonomy and strict quality guidelines to ensure users could find the music they were looking for more quickly and accurately, thus improving the music discovery experience on the platform.

As a Data Annotator, I worked on a long-term project for a leading music streaming platform client with the primary goal of improving the accuracy and relevance of their internal search engine. My primary responsibility was to analyze, classify, and cluster data from a massive music catalog by providing accurate labels (annotations) based on genre, mood, era, and other relevant attributes. Each annotation was performed following a pre-established music taxonomy and strict quality guidelines to ensure users could find the music they were looking for more quickly and accurately, thus improving the music discovery experience on the platform.

2024 - 2025

Ai Trainer

OtherTextText GenerationPrompt Response Writing SFT

On a large-scale language model development (LLM) project at Outlier, I served as an AI Trainer, focused on improving the AI's conversational, reasoning, and safety capabilities. My specific data annotation tasks involved two main areas: first, prompt engineering, where I designed and wrote thousands of complex scenarios and questions to systematically test the model. Second, response evaluation, where I analyzed and ranked each answer generated by the AI. To maintain consistency across this massive project, each evaluation adhered to stringent quality guidelines, ensuring each piece of data met high standards for accuracy, helpfulness, factual correctness, and user safety.

On a large-scale language model development (LLM) project at Outlier, I served as an AI Trainer, focused on improving the AI's conversational, reasoning, and safety capabilities. My specific data annotation tasks involved two main areas: first, prompt engineering, where I designed and wrote thousands of complex scenarios and questions to systematically test the model. Second, response evaluation, where I analyzed and ranked each answer generated by the AI. To maintain consistency across this massive project, each evaluation adhered to stringent quality guidelines, ensuring each piece of data met high standards for accuracy, helpfulness, factual correctness, and user safety.

2024 - 2025

Social Media Evaluator

AppenVideoClassification

As a Social Media Evaluator, I'm responsible for maintaining the integrity and quality of the advertising ecosystem on one of the leading social media platforms. In this role, I consistently review and evaluate thousands of pieces of advertising content in a high-volume queue to ensure each ad adheres to strict policy guidelines, is user-friendly, and highly relevant to its intended audience. Through careful content analysis, I directly contribute to a safer and more positive online environment, and help maintain user and advertiser trust in the platform.

As a Social Media Evaluator, I'm responsible for maintaining the integrity and quality of the advertising ecosystem on one of the leading social media platforms. In this role, I consistently review and evaluate thousands of pieces of advertising content in a high-volume queue to ensure each ad adheres to strict policy guidelines, is user-friendly, and highly relevant to its intended audience. Through careful content analysis, I directly contribute to a safer and more positive online environment, and help maintain user and advertiser trust in the platform.

2023 - 2025

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Education

Work History