Data Entry Associate - Fresher (Part Time)

About the job:Key responsibilities:

Data Processing & Categorization: Accurately input, classify, and format structured and unstructured data into internal databases according to specific guidelines.

Quality Assurance & Verification: Review data entries for accuracy, completeness, and consistency, correcting discrepancies, mislabeled records, or formatting errors to maintain database integrity.

Content & Text Structuring: Review, proofread, and transcribe text files or customer communications, ensuring adherence to grammar, tone, and formatting rules.

Information Tagging & Metadata Entry: Apply appropriate tags, labels, and metadata categories to incoming data files to ensure seamless indexing and retrieval across systems.

Edge-Case & Discrepancy Reporting: Identify ambiguous, duplicate, or corrupted data records and escalate them to project managers with clear feedback.

SLA & Volume Adherence: Consistently meet daily data processing volume targets and maintain quality benchmarks in a fast-paced environment.Who can apply:Only those candidates can apply who:Salary:₹ 2,00,000 - 3,00,000 /yearExperience:No experience requiredDeadline:[hidden]:59:59Skills required:Typing, MS-Excel and English Proficiency (Written)About Company:Almagest is an AI-powered agency that provides transformative digital marketing and automation solutions. They specialize in blending traditional online growth strategies with advanced artificial intelligence to streamline business operations and scale brand visibility.

Responsibilities

Key responsibilities:

Data Processing & Categorization: Accurately input, classify, and format structured and unstructured data into internal databases according to specific guidelines.

Quality Assurance & Verification: Review data entries for accuracy, completeness, and consistency, correcting discrepancies, mislabeled records, or formatting errors to maintain database integrity.

Content & Text Structuring: Review, proofread, and transcribe text files or customer communications, ensuring adherence to grammar, tone, and formatting rules.

Information Tagging & Metadata Entry: Apply appropriate tags, labels, and metadata categories to incoming data files to ensure seamless indexing and retrieval across systems.

Edge-Case & Discrepancy Reporting: Identify ambiguous, duplicate, or corrupted data records and escalate them to project managers with clear feedback.

SLA & Volume Adherence: Consistently meet daily data processing volume targets and maintain quality benchmarks in a fast-paced environment.