Sarfraj Ahamad

Key Skills

Software

Appen

Clickworker

OneForma

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Video

Top Label Types

Classification

Data Collection

Geocoding

Mapping

Question Answering

Freelancer Overview

Option 1: Focused on Breadth and Expertise ​As an Expert Data Labeler with over three years of hands-on experience in AI Training Data, I possess a deep understanding of annotation best practices across various data modalities. I have successfully contributed to large-scale, global projects, primarily specializing in text analysis (NLP), image segmentation, and audio transcription. My expertise includes working proficiently with complex annotation tools and platforms, consistently delivering high-quality, highly accurate, and unbiased data under strict deadlines. My commitment to data integrity and my proven ability to adapt to new project guidelines ensure that I can immediately contribute to the success of your most demanding AI development initiatives. ​Option 2: Focused on Specific Skills and Quality ​I am a dedicated and meticulous professional with 3+ years of experience focused on creating and curating high-quality AI Training Data. My core skills include semantic segmentation and bounding box annotation for computer vision models, as well as complex entity and intent labeling for Natural Language Processing (NLP) systems. A significant part of my background is in quality assurance, where I've developed a keen eye for detail and a proactive approach to identifying and resolving ambiguity in project guidelines. I thrive in environments that demand accuracy, consistency, and scale, ensuring the foundational data for machine learning models is robust and deployment-ready.

Labeling Experience

Conversational AI Training: Customer Service Intent Labeling

AppenTextEntity Ner ClassificationClassification

The scope of this project involved preparing high-quality text data for an E-commerce/Customer Service AI model using the Appen platform. Key tasks included Entity (NER) Classification to precisely tag product names, order IDs, and dates within chat transcripts. I also performed Question Answering tasks, extracting specific answers from knowledge base articles to train a robust chatbot Q&A function. Furthermore, the project required Geocoding of address and location data found in customer requests, and general Data Collection for model expansion. I processed an estimated 10,000+ text entries and maintained a consistent quality audit score of 97%+, ensuring strict adherence to complex, multi-layered annotation guidelines for high precision in model training.

The scope of this project involved preparing high-quality text data for an E-commerce/Customer Service AI model using the Appen platform. Key tasks included Entity (NER) Classification to precisely tag product names, order IDs, and dates within chat transcripts. I also performed Question Answering tasks, extracting specific answers from knowledge base articles to train a robust chatbot Q&A function. Furthermore, the project required Geocoding of address and location data found in customer requests, and general Data Collection for model expansion. I processed an estimated 10,000+ text entries and maintained a consistent quality audit score of 97%+, ensuring strict adherence to complex, multi-layered annotation guidelines for high precision in model training.

2020 - 2024

Education

Work History