Vishnu S.

Key Skills

Software

Other

Top Subject Matter

AI/ML training dataset annotation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Video

Document

Top Task Types

Classification

Prompt + Response Writing (SFT)

Action Recognition

Freelancer Overview

Data Annotator (Contract) — Innodata Inc (Image annotation). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Post Graduation Diploma, Savitribai Phule Pune University (2023) and Bachelor of Science, Vishwalata Arts, Commerce and Science College (2022). AI-training focus includes data types such as Image, Text, and Video and labeling workflows including Classification, Prompt + Response Writing (SFT), and Action Recognition.

Labeling Experience

Data Annotator (Contract) — Innodata Inc (Video annotation)

OtherVideoAction Recognition

Created structured video annotations for AI/ML training data in line with project instructions. Labeled and reviewed 100+ video records to ensure the dataset met quality and guideline compliance requirements. Participated in dataset validation by identifying inconsistencies and supporting issue resolution to improve reliability. • Annotated and categorized 100+ video records • Performed dataset review to find labeling inconsistencies • Supported quality issue resolution for model readiness • Followed delivery timelines and maintained confidentiality

2025 - 2026

Data Annotator (Contract) — Innodata Inc (Text prompt annotation)

OtherTextPrompt + Response Writing (SFT)

Annotated and validated AI text prompts for machine learning training data while following labeling requirements and confidentiality expectations. Classified and categorized text inputs to support downstream model development and evaluation. Used quality assurance procedures to identify and fix inconsistencies and edge cases. • Labeled 500+ AI text prompts • Performed content classification and categorization per guidelines • Maintained high quality through validation and error correction • Escalated edge cases to support model readiness

2025 - 2026

Data Annotator (Contract) — Innodata Inc (Image annotation)

OtherImageClassification

Created and validated labeled image datasets for AI/ML training in accordance with project guidelines. Performed annotation, categorization, and classification for large image volumes while maintaining accuracy and consistency. Conducted quality reviews, validation checks, and error correction to improve dataset reliability. • Annotated and categorized 500+ images • Applied guideline-compliant labeling and escalation for edge cases • Verified annotation accuracy up to 95% through review and correction • Resolved labeling inconsistencies during dataset review

2025 - 2026

Education

Work History