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Danielle Costa

Danielle Costa

AI Data Annotation & Content Evaluation Specialist
📍 São Paulo, Brazil · (0) · Member since
Availability
🏠 Works remotely / from home Yes No
🧰 Travels to client Yes No
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Presentation

I provide high-quality AI data annotation and content evaluation services, with experience in ads quality analysis and multimedia content review. I specialize in labeling, reviewing, and improving data used to train AI models, ensuring accuracy, consistency, and alignment with project guidelines.
I have worked on projects involving Google Ads and META platforms, evaluating audio, video, and text content to enhance user experience and model performance. I am detail-oriented, reliable, and able to follow complex instructions while delivering consistent results.
My services include data labeling, content moderation, ads evaluation, and structured feedback to improve AI outputs. I am comfortable working with large datasets and meeting deadlines in remote and international environments.
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Background

Portuguese STEM
Mercor · 03/04/2026 – 29/04/2026
Worked on a Portuguese STEM project focused on data annotation and content evaluation for AI training. Reviewed and classified scientific and technical content, ensuring accuracy, clarity, and consistency according to structured guidelines. Contributed to improving AI model performance through detailed analysis and high-quality data labeling.
Audio Model Trainer
Mercor · 10/09/2025 – 06/10/2025
Evaluated audio and video quality in social media ads (Facebook, Instagram, WhatsApp)
Provided prompts and structured feedback to improve content
Ensured user experience and compliance with defined guidelines
Data Annotation
Telus International · 05/01/2024 – 01/04/2026
Evaluated the relevance and quality of Google Ads with a focus on user experience
Performed data annotation and validation for AI projects
Ensured consistency and quality across complex datasets
Analyzed metrics and content to optimize performance and results
Applied detailed guidelines in an international corporate environment
Data Labeling for AI
Alignerr · 12/05/2023 – Today
Labeled and categorized data for AI model training
Applied structured criteria and guidelines to ensure accuracy and consistency
Bachelor's Degree
UNIP · 2018 – 2021
Bachelor’s degree in Biological Sciences, with a strong foundation in scientific research, critical thinking, and data interpretation.
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Working hours

Monday
From08h00To18h00
Tuesday
From08h00To18h00
Wednesday
From08h00To18h00
Thursday ▪ Today
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday
Closed
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