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Silvia A.

Digital Trust & Safety Associate - AI Content & Data Specialist (Accenture Operations)

Romania flagBucharest, Romania

Key Skills

Software

Don't disclose

Top Subject Matter

AI content evaluation and Trust & Safety (harmful content detection, policy compliance)
Multimodal AI model training data (image) for content safety and evaluation
Legal Services & Contract Review

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

No task types listed

Freelancer Overview

Digital Trust & Safety Associate - AI Content & Data Specialist (Accenture Operations). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Biology, University of Bucharest (2021). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation and Rating.

Labeling Experience

Digital Trust & Safety Associate - AI Content & Data Specialist (Accenture Operations)

Don't discloseImageImage

You contributed to multimodal dataset annotation and evaluation supporting AI/ML model training. Your labeling activities covered non-text content formats as part of unstructured multimodal inputs (including image modalities). This work helped improve model predictive accuracy and overall performance. • Annotate and evaluate multimodal unstructured datasets • Support training via labeled multimodal examples • Validate outputs for localized (Italian and Swiss-Italian) linguistic nuance • Improve model performance through feedback loops

2024 - Present

Digital Trust & Safety Associate - AI Content & Data Specialist (Accenture Operations)

Don't discloseTextText

You performed data labeling and evaluation for AI content and digital Trust & Safety workflows, focused on reviewing and assessing AI-generated content. You applied complex and evolving policy frameworks to determine whether content meets safety and compliance requirements. Your work supported model improvement through consistent labeling and feedback. • Review AI-generated content for accuracy, safety, and policy compliance • Identify harmful content categories such as hate speech, misinformation, and abuse • Apply platform integrity checks and real-world policy scenarios • Provide high-quality data labeling and feedback for iterative model training

2024 - Present

Education

U

University of Bucharest

Bachelor of Biology, Biology

Bachelor of Biology
2018 - 2021

Work History

M

MDPI

Scientific Editor & Section Managing Editor

Bucharest
2021 - 2024