Rajat Bashistha

Key Skills

Software

Appen

Clickworker

CrowdSource

Labelbox

Mindrift

OneForma

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Bounding Box

Data Collection

Evaluation/Rating

Prompt + Response Writing (SFT)

Text Generation

Freelancer Overview

I have hands-on experience in AI training and data labeling, having contributed to multiple global projects across platforms such as Pareto, Outlier, and Appen. On Pareto, I worked on Project Fermium, a polygonal bounding project involving precise object detection and boundary mapping for computer vision training, as well as Project Samarium, where I focused on data labeling and creating detailed product descriptions to enhance e-commerce dataset accuracy. At Outlier, I participated in several RLHF (Reinforcement Learning from Human Feedback) projects, evaluating and refining AI-generated responses to improve model alignment, coherence, and factual accuracy. Currently, I am engaged with Appen on Projects Coffee and Espresso, using the Multimango and Parimango platforms to perform AI response evaluations and quality assurance, ensuring contextually accurate and human-like outputs. Additionally, I am working on a transcription project on the Matrix Go platform for Appen, which further sharpens my linguistic precision and attention to detail. My diverse project background demonstrates strong annotation skills, AI model fine-tuning, and data integrity practices, making me a versatile and reliable contributor to AI training initiatives.

Labeling Experience

Education

Work History