I am a detail-oriented data annotation specialist with 3+ years’ combined experience in AI dataset labeling and customer-facing roles. I have a proven track record in producing high-quality annotations for text, image and audio data, improving machine learning model performance while ensuring fairness, inclusivity and accuracy. I enjoy collaborating with cross-functional teams, applying complex guidelines and maintaining quality under tight deadlines. In previous roles, I collaborated with QA and engineering teams to refine annotation processes, flagged sensitive content, and supported adaptive personalisation algorithms. I thrive in fast-paced environments and enjoy turning guidelines into accurate, consistent data that improves model performance and fairness.

Mary Amie P

I am a detail-oriented data annotation specialist with 3+ years’ combined experience in AI dataset labeling and customer-facing roles. I have a proven track record in producing high-quality annotations for text, image and audio data, improving machine learning model performance while ensuring fairness, inclusivity and accuracy. I enjoy collaborating with cross-functional teams, applying complex guidelines and maintaining quality under tight deadlines. In previous roles, I collaborated with QA and engineering teams to refine annotation processes, flagged sensitive content, and supported adaptive personalisation algorithms. I thrive in fast-paced environments and enjoy turning guidelines into accurate, consistent data that improves model performance and fairness.

Available to hire

I am a detail-oriented data annotation specialist with 3+ years’ combined experience in AI dataset labeling and customer-facing roles. I have a proven track record in producing high-quality annotations for text, image and audio data, improving machine learning model performance while ensuring fairness, inclusivity and accuracy. I enjoy collaborating with cross-functional teams, applying complex guidelines and maintaining quality under tight deadlines.

In previous roles, I collaborated with QA and engineering teams to refine annotation processes, flagged sensitive content, and supported adaptive personalisation algorithms. I thrive in fast-paced environments and enjoy turning guidelines into accurate, consistent data that improves model performance and fairness.

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Language

English
Advanced

Work Experience

Data Annotator at RWS
October 1, 2025 - October 1, 2025
Evaluated source, face and output images to ensure logical accuracy and detect visual inconsistencies or artifacts. Annotated images by identifying and labeling objects, people and scenes to enhance computer vision model training. Assessed audio samples for clarity, sound quality and absence of background noise or distortion. Analyzed and annotated video frames by identifying actions, objects and transitions to support machine learning and activity recognition models. Reviewed and paused video frames to tag and label entities such as people, clothing, products, and locations, using reference photos to ensure accurate identification and consistency. Selected and categorized images tailored to user preferences to support adaptive personalization algorithms.
Data Annotator at Hugo
April 1, 2025 - April 1, 2025
Annotated 20,000+ images, text passages and audio clips by detailed project guidelines. Ensured accuracy, fairness and inclusivity in datasets to improve AI model performance. Collaborated with QA and engineering teams to refine annotation processes, reducing error rates. Reviewed and flagged sensitive or ambiguous content to maintain user safety and ethical AI standards.
Data Annotator at e2f
December 1, 2023 - December 1, 2023
Reviewed AI-generated responses from multiple large language models, ensuring factual accuracy and compliance with project guidelines. Conducted detailed web research to verify information provided by AI models, using credible and authoritative sources. Flagged incorrect, incomplete and misleading AI outputs to maintain high-quality and trustworthy user-facing responses. Applied critical thinking and case-by-case awareness to identify potential biases or unsafe content.
Client Relations Coordinator at Tyson Nig Ltd
December 1, 2022 - December 1, 2022
Provided customer support via multiple channels, resolving inquiries and maintaining high satisfaction scores. Applied problem-solving skills to resolve complex issues quickly, reducing complaint escalation by 20%. Maintained strong relationships with health care professionals and customers, ensuring compliance with regulations.

Education

Bachelor of Science (BSc) in Biochemistry at Ambrose Alli University
November 1, 2016 - September 1, 2021

Qualifications

Add your qualifications or awards here.

Industry Experience

Media & Entertainment, Professional Services, Software & Internet