Available to hire
I’m Pipit Briliani, an AI Quality Assurance and data training specialist with hands-on experience evaluating and validating large-scale AI datasets, including conversational AI and video annotation work. I focus on accuracy, policy/safety compliance, and structured error analysis to ensure only high-quality outputs reach deployment.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Indonesian
Fluent
Work Experience
AI Quality Assurance Specialist (Round-2 QA) at APPEN
May 1, 2026 - PresentExecuted Round-2 Quality Assurance across complex AI datasets, auditing first-round annotator outputs using strict Pass/Fail metrics. Maintained 100% QA accuracy to prevent defective or policy-violating data from reaching final model deployment. Evaluated conversational AI responses for the Tako TikTok chatbot using multi-metric rubrics covering factuality, safety, tone, and instruction following. Managed appeal workflows for contested errors, resolving ambiguous edge cases with objective, data-backed justifications. Provided structured error-analysis feedback and documentation to first-round annotators, reducing team-wide error rates.
AI Quality Assurance Specialist at APPEN
May 1, 2026 - PresentExecuted Round-2 Quality Assurance across complex AI datasets by auditing first-round annotator outputs using strict Pass/Fail metrics. Maintained a 100% QA accuracy rate, ensuring zero defective or policy-violating data reached final model deployment. Evaluated conversational AI responses for Tako Tiktok chatbot projects using comprehensive rubrics covering factuality, safety, tone, and instruction following. Managed pending appeal workflows for contested errors, resolving high-ambiguity edge cases with objective, data-backed justifications. Delivered structured error-analysis feedback and documentation to first-round annotators, reducing team-wide error rates.
Social Media Labeler at APPEN
August 1, 2024 - May 1, 2026Labeled and categorized high-volume social media photo and image content according to strict client guidelines to support unbiased computer vision model training. Maintained 100% consistency in labeling criteria across dynamic image datasets. Exceeded daily throughput targets through efficient visual review and multi-class image categorization. Flagged ambiguous image content and edge cases to improve annotation guidelines during early-stage model training.
AI Trainer at APPEN
August 1, 2024 - May 1, 2026Processed high-volume workloads by handling 500+ daily tasks across live LLM evaluation, search relevance, and video annotation workflows. Maintained a 100% accuracy rate across live evaluation projects and achieved strong User Rating (UR) scores consistently between 96% and 99%. Optimized task execution speed to achieve an Average Handling Time (AHT) of about 50 seconds per case while preserving output precision. Collaborated with engineering and trainer teams to refine annotation guidelines and streamline resolution of edge cases.
Ads Quality Rater at Welocalize
April 1, 2024 - September 30, 2024Analyzed and rated Google search ads relevance, landing page quality, and user intent alignment according to Google’s advertising guidelines. Maintained 90%+ rating accuracy by precisely categorizing and evaluating ads against strict quality standards. Evaluated ad campaign accuracy and policy compliance to support high-quality, relevant ad placements. Provided detailed, research-backed rating justifications to help refine ad quality and improve search ranking algorithms.
AI Data Trainer and Validator (Video Annotation - Hashtag project) at 2024 THOTH AI
March 1, 2023 - January 31, 2024Validated complex video and hashtag data with 96% individual accuracy (exceeding the 90% project requirement). Contributed to a team Utilization Rate (UR) score of 98% through rigorous quality checks and consistent daily throughput. Managed appeal disputes from validators and claimants, ensuring unbiased decisions on complex edge cases. Conducted onboarding and training sessions for new labelers and moderators to improve alignment with project guidelines. Coordinated QA insights and documentation with BPO Points of Contact to optimize moderation workflows.
AI Data Trainer and Validator (Video Annotation Hashtag project) at THOTH AI
March 1, 2023 - January 31, 2024Validated complex video and hashtag data with 96% individual accuracy, exceeding the project’s 90% requirement. Contributed to a team utilization rate (UR) score of 98% through rigorous quality checks and consistent daily throughput. Managed appeal disputes from validators and claimants, ensuring unbiased decisions on complex edge cases. Conducted onboarding and training for new data labelers and moderators to improve alignment with project guidelines. Coordinated QA insights and documentation with BPO points of contact to optimize moderation workflows.
AI Data Trainer and Validator (Video Annotation Hashtag project) at 2024 THOTH AI
March 1, 2023 - January 31, 2024Validated complex video and hashtag data and achieved 96% individual accuracy, exceeding the 90% project requirement. Contributed to a team Utilization Rate (UR) score of 98% through rigorous quality checks and consistent daily throughput. Managed appeal disputes from validators and claimants to ensure unbiased, fair decisions on complex edge cases. Conducted onboarding and training sessions for new data labelers and moderators to improve alignment with project guidelines. Coordinated QA insights and documentation with BPO points of contact to optimize moderation workflows.
Transcriptionist at APPEN
January 1, 2023 - February 28, 2023Produced high-precision English transcriptions for fast-paced sports commentary (NBA) datasets under tight deadlines. Captured complex athletic terminology, player statistics, and varied speaker expressions with high acoustic accuracy. Timestamped speaker changes frame-by-frame to ensure clean alignment between audio signals and text. Achieved 100% transcript delivery accuracy across complex multi-speaker audio files with dynamic background noise.
Education
Bachelor’s Degree, Communication Science at Pelita Harapan University
January 1, 2024 - January 1, 2024Bachelor’s Degree in Communication Science at Pelita Harapan University
January 1, 2024 - January 1, 2024Bachelor’s Degree in Communication Science at Pelita Harapan University
January 1, 2024 - January 1, 2024Bachelor’s Degree (Communication Science) at Pelita Harapan University
January 1, 2024 - September 30, 2026Qualifications
Generative AI for Student (Pelita Harapan University)
December 1, 2024 - September 30, 2026Book Discussion & Dialogue: Crisis Communication in Public Relations Through the Ages (APPRI)
January 1, 2025 - September 30, 2026Generative AI for Student (Pelita Harapan University)
December 1, 2024 - September 30, 2026Book Discussion & Dialogue: Crisis Communication in Public Relations Through the Ages (APPRI)
January 1, 2025 - September 30, 2026Generative AI for Student (Pelita Harapan University)
December 1, 2024 - September 30, 2026Book Discussion & Dialogue: Crisis Communication in Public Relations Through the Ages (APPRI)
January 1, 2025 - September 30, 2026Generative AI for Students (Pelita Harapan University)
December 1, 2024 - September 30, 2026Book Discussion & Dialogue: Crisis Communication in Public Relations Through the Ages (APPRI)
January 1, 2025 - September 30, 2026Industry Experience
Computers & Electronics, Education, Media & Entertainment, Professional Services, Software & Internet
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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