Naseem Akhtar

Key Skills

Software

Data Annotation Tech

Top Subject Matter

Language Model AI/NLP

Top Data Types

Text

Document

Top Task Types

Fine-tuning

Evaluation/Rating

Classification

RLHF

Freelancer Overview

Data Annotator | DataAnnotation.tech (Remote). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation Tech. Education includes Master of Computer Application, Lovely Professional University (2024) and Bachelor of Science, GNA University (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF.

Labeling Experience

Freelance AI Data Specialist

Data Annotation TechTextFine TuningRLHF

As a Freelance AI Data Specialist for DataAnnotation.tech, I evaluated and trained Large Language Models to improve their response accuracy and reasoning capabilities. My work included fine-tuning bilingual AI models using diverse datasets in English, Hindi, and Hinglish. I directly contributed to LLM safety and content moderation practices to ensure responsible AI deployment. • Conducted quality evaluation and RLHF on text responses for LLMs. • Fine-tuned datasets involving multilingual data, focusing on code-mixing and translation accuracy. • Labeled and rated output for relevance, coherence, and appropriateness across languages. • Collaborated with team members to set up annotation guidelines and enhance model accuracy.

As a Freelance AI Data Specialist for DataAnnotation.tech, I evaluated and trained Large Language Models to improve their response accuracy and reasoning capabilities. My work included fine-tuning bilingual AI models using diverse datasets in English, Hindi, and Hinglish. I directly contributed to LLM safety and content moderation practices to ensure responsible AI deployment. • Conducted quality evaluation and RLHF on text responses for LLMs. • Fine-tuned datasets involving multilingual data, focusing on code-mixing and translation accuracy. • Labeled and rated output for relevance, coherence, and appropriateness across languages. • Collaborated with team members to set up annotation guidelines and enhance model accuracy.

2025 - Present

Education

Work History