Sandra S.

Key Skills

Software

No software listed

Top Subject Matter

Customer Support Interactions (SaaS/Technology)

Customer Support Interactions (Fintech/E-commerce)

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

No task types listed

Freelancer Overview

Customer Support Assistant (Customer Experience Specialist) leveraging AI-assisted support and annotation/review of supp. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Customer Service Certification, HubSpot Academy (2022) and Customer Experience Certification, Google Digital Garage (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Customer Support Assistant (Customer Experience Specialist) leveraging AI-assisted support and annotation/review of support interactions

Text

Assessed, annotated, and reviewed multichannel customer support interactions to ensure quality, accuracy, and consistency for AI training data evaluation workflows. Performed quality assessment on written support content (email, live chat, and phone transcripts) to support refinement of AI-assisted responses. Contributed to scalable documentation and knowledge base resources that reduced repetitive inquiries and improved operational efficiency. • Quality and consistency checks of support interactions • Annotation/review for accuracy and appropriateness • Feedback sharing with operations, product, and technical support • Documentation of best practices and pain points for training and automation

2023 - 2025

Customer Support Virtual Assistant (AI-assisted support context; interaction assessment/documentation)

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Assessed and documented customer service interactions to identify service gaps and inform process improvements and knowledge base updates. Supported AI-adjacent training needs by capturing recurring pain points and improving structured documentation used for future support automation. Ensured data privacy and confidentiality across customer interactions and internal documentation. • Interaction documentation for gap identification • Identification of recurring pain points • Support content review for clarity and completeness • Privacy-compliant handling of customer information

2022 - 2023

Education

Work History