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AppenNo subject matter listed
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AudioI am an experienced data annotator and QA analyst with over two years of hands-on work in data labeling, transcription, and quality assurance for AI training projects, primarily with Appen Services Philippines. My background in computer science and industrial technology has equipped me with strong technical and organizational skills, while my attention to detail ensures high accuracy in tasks such as text annotation, audio transcription, and quality review. I am adept at adapting to new guidelines and project requirements, and I consistently deliver reliable results, as recognized by my Top Performer award. I am passionate about supporting the development of AI by providing high-quality, well-labeled data, and I am comfortable working independently or as part of a team to meet project goals and deadlines.
Analyze search queries and corresponding (images, video, landing) page, ads title) to determine their relevance and consistency.
I worked as QA for Visual Search – Object Detection project. My main responsibility was to review and validate labeled images to ensure the annotations were accurate. I carefully check for issues such as missing annotations, incorrect categorization, overlapping boxes and inconsistencies. When I found errors, I provided clear, detailed, and constructive feedback to the labelers to help them understand the mistakes and improve their performance and met the project requirements.
You will assess the relevance between queries and user's intention by distinguishing which part os search query relates to local service.
In transcription you will listen to audio files and transcribe it accurately into written form.
Bachelor of Science, Industrial Technology, Electronics
Bachelor of Science, Industrial Technology (Electronics)
Data Labeling Specialist
Transcriber / QA
