Aman Kumar

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming/Coding

Prompt + Response Writing (SFT)

RLHF

Text Summarization

Translation/Localization

Freelancer Overview

I am an experienced AI Data Training Specialist and Native Hindi Language Expert with a strong background in data labeling, annotation, and LLM evaluation. Over the past few years, I have worked on multiple AI training projects, including RLHF workflows, SFT, preference ranking, prompt-response generation, safety reviews, and red-teaming. My bilingual proficiency in Hindi and English (B2–C1) allows me to craft precise, culturally aware prompts and responses while following detailed rubrics and maintaining strict quality standards. In addition to my AI training expertise, I hold a Bachelor of Computer Applications (BCA) and bring a solid technical foundation in JavaScript, Python, C++, React, and data handling. I have hands-on experience with large datasets in finance and commodity trading, which has strengthened my analytical and detail-oriented approach. What sets me apart is my ability to combine linguistic expertise with technical skills, ensuring that AI systems are not only accurate but also contextually and culturally aligned. I thrive in structured evaluation tasks, quality assurance, and collaborative environments where precision and consistency are critical. With a proven track record in Hindi data labeling, AI safety reviews, and LLM evaluation, I am committed to contributing high-quality work that drives impactful AI advancements.

Labeling Experience

Hindi Text Data Labeling & LLM Evaluation

Scale AITextEntity Ner ClassificationText Generation

Annotated and categorized thousands of Hindi prompts and responses for AI model training. Performed supervised fine-tuning (SFT) data creation, preference ranking, and safety/red-teaming annotations. Ensured linguistic accuracy, cultural appropriateness, tone/register consistency, and adherence to detailed rubrics. Conducted quality checks and provided concise rationales for model improvement. Project included both single-turn and multi-turn conversational datasets.

Annotated and categorized thousands of Hindi prompts and responses for AI model training. Performed supervised fine-tuning (SFT) data creation, preference ranking, and safety/red-teaming annotations. Ensured linguistic accuracy, cultural appropriateness, tone/register consistency, and adherence to detailed rubrics. Conducted quality checks and provided concise rationales for model improvement. Project included both single-turn and multi-turn conversational datasets.

2024 - 2025

Education

Work History