Riki S.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

AI training data for text content quality

Classification Domain Expertise

and QA.

Top Data Types

Text

Audio

Document

Top Task Types

Classification

Segmentation

Entity (NER) Classification

Freelancer Overview

Amazon — Associate (data annotation/content review). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Master of Computer Science, Regent Education & Research Foundation Group of Institutions (2024) and Bachelor of Computer Applications, Kingston Educational Institution (2022). AI-training focus includes data types such as Text and Audio and labeling workflows including Classification, Entity (NER), and Segmentation.

Labeling Experience

Amazon — Associate (data annotation/content review)

Don't discloseTextClassification

Performed content review and annotation to support AI training dataset quality. Ensured guideline adherence and consistency for labeled outputs. Conducted checks to detect errors and contextual issues in text data. • Content review and annotation for compliance with linguistic/quality standards • Inconsistency and error detection in text • Quality assurance focused on guideline adherence and consistency • Maintained accuracy under strict timelines and evolving guidelines

2024 - 2025

Data Annotator (Freelance) - Innodata

AudioSegmentationClassification

You performed detailed data annotation and content labeling according to project-specific guidelines. You reviewed and validated labeled data to maintain high accuracy and consistency. You contributed to AI training datasets by evaluating and annotating language data used in machine learning models. • Project-guideline based annotation • Data validation for accuracy • Language data evaluation • Consistency and quality checks

Not specified

Innodata — Data Annotator (Freelancer)

OtherText

Performed large-scale text annotation, classification, and document labeling for AI training datasets. Identified entities such as names and dates and extracted structured information from unstructured text. Followed detailed annotation guidelines and collaborated on quality checks to maintain data integrity. • Large-scale text annotation and document labeling • Entity identification (names/dates/relationships) • Structured information extraction from unstructured text • Quality checks and QA collaboration for consistent, accurate labels

Not specified

Education

Work History