Sanskruti S.

Key Skills

Software

Data Annotation Tech

Top Subject Matter

Information Technology (IT)

Web Development

Artificial Intelligence (AI)

Top Data Types

Text

Image

Document

Top Task Types

Transcription

Classification

Question Answering

Text Generation

Text Summarization

Evaluation/Rating

Freelancer Overview

AI Trainer and Data Annotator with experience in prompt generation, response writing, AI response evaluation, and quality assessment. Strong attention to detail, research skills, and ability to follow complex annotation guidelines. Background in Information Technology with knowledge of HTML, CSS, JavaScript, and UI/UX design. Experienced in text annotation, transcription, classification, and conversational AI projects. Education includes Bachelor of Engineering, Bharati Vidyapeeth College Of Engineering (2027) and Senior Secondary Certificate (XII), Kamaladevi College Of Arts, Commerce & Science (2023). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Transcription and Classification.

Labeling Experience

Data annotation (image labeling and training data preparation)

ImageClassification

Worked with image annotation and labeling-oriented tooling skills to support AI training data generation. Focused on producing accurate, consistent labels suitable for model training and evaluation. Emphasized Responsible AI principles to ensure dataset integrity. • Image annotation and labeling for AI training • Consistency checks to improve label quality • Responsible AI and ethical dataset creation mindset • Prepared labeled outputs for downstream AI workflows

Present

AI training data preparation skills (multilingual transcription and translation)

TextTranscription

Demonstrated capability in multilingual transcription and translation workflows aligned with generative and Responsible AI training data expectations. Applied attention to consistency and ethical standards to support high-quality AI dataset creation. Supported accuracy-focused preprocessing of language data for training use cases. • Transcription and translation handling for multilingual content • Quality assurance mindset to maintain consistency in labeled outputs • Ethical and Responsible AI standards emphasis • Prepared data for AI training contexts

Present

AI Response Evaluation

TextEvaluation/Rating

Evaluated AI-generated responses for accuracy, helpfulness, instruction-following, and overall quality.

2025 - 2025

Remote Data Annotator - Confidential Employer

ImageClassification

Worked remotely on labeling and organizing large datasets for AI/ML model training with a focus on accurate classification. Used annotation tools to tag images and text data at scale to support machine learning applications. Conducted quality checks on annotated outputs and improved data quality by identifying and correcting labeling errors. • Dataset labeling and organization • Image and text tagging at scale • Quality assurance for accuracy and consistency • Error identification and data cleaning for ML readiness

2025 - 2025

Education

Work History