Vidit B.

Key Skills

Software

Scale AI

Remotasks

Top Subject Matter

Conversational AI

Natural Language Processing

Supervised Machine Learning

Top Data Types

Image

Audio

Text

Top Task Types

Data Collection

Bounding Box

Classification

Evaluation/Rating

Text Summarization

Question Answering

Freelancer Overview

AI Response Evaluation Practice. Core strengths include Scale AI, Outlier, and Remotasks. Education includes Bachelor of Technology, Noida Institute of Engineering & Technology (2025). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Annotation & Labeling Workflow Training

RemotasksImageBounding Box

I participated in image and text labeling exercises to learn bounding box creation, sentiment tagging, entity recognition, and multi-class categorization. These training tasks enhanced my accuracy in creating annotations for machine learning models. The experience also involved using popular platforms for labeling workflows within supervised AI pipelines. • Drew bounding boxes on image datasets • Tagged sentiment and recognized named entities • Handled multi-class categorization tasks • Practiced annotation with modern data labeling tools

2024 - Present

Internet Research & Data Collection

TextData Collection

I conducted structured internet research and organized relevant information to support AI training dataset creation. My tasks included gathering data from multiple sources and presenting it in formats suitable for machine learning use. This supported the development of comprehensive AI datasets for various natural language processing tasks. • Collected and structured data for AI training • Utilized multiple online sources efficiently • Ensured data cleanliness and relevance • Contributed to dataset quality for NLP projects

2024 - Present

AI Response Evaluation Practice

Scale AIText

I evaluated and rated AI-generated text responses for accuracy, tone, and relevance, enhancing the performance of conversational AI systems. This work developed my understanding of RLHF (Reinforcement Learning from Human Feedback) workflows. I contributed to refining large language model outputs through detailed human feedback and systematic assessments. • Evaluated and scored text outputs for correctness • Provided feedback on conversational tone and relevance • Gained practical RLHF workflow experience • Improved AI-generated response quality

2024 - Present

Education

Work History