Aqib Maqbool

Key Skills

Software

Mindrift

OneForma

Scale AI

Snorkel AI

SuperAnnotate

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Image

Text

Video

Top Label Types

Audio Recording

Computer Programming Coding

Data Collection

Mapping

Object Detection

Prompt Response Writing SFT

Question Answering

Text Generation

Tracking

Transcription

Translation Localization

Freelancer Overview

I am an experienced data annotation and AI training specialist with over five years of hands-on freelancing in AI model training, data labeling, transcription, and translation. My work has involved evaluating and refining AI responses to enhance machine learning models, particularly in natural language processing (NLP) domains. I am skilled in Python and C++, and have managed multiple remote projects requiring high accuracy and attention to detail. My background also includes content writing, data entry, and customer support, enabling me to deliver high-quality, consistent results under tight deadlines. I am passionate about contributing to the development of smarter AI systems through precise data annotation and effective training workflows.

Labeling Experience

Data annotator

Scale AIImageQuestion AnsweringText Generation

I was an Image Data Annotator on large-scale AI/LLM training projects on Remotasks. My tasks involved labeling and annotating images with various techniques of annotation like bounding boxes, polygons, segmentation, classification of objects and object tracking. The primary objective was to establish quality labeled datasets in computer vision and training computer vision models. I adhered to annotation rules in the strictest manner, was accurate, consistent, and worked with complex edge cases depending on the project needs. I also ensured the quality standards by using self-review and quality checks to ensure that the expectations of clients are met.

I was an Image Data Annotator on large-scale AI/LLM training projects on Remotasks. My tasks involved labeling and annotating images with various techniques of annotation like bounding boxes, polygons, segmentation, classification of objects and object tracking. The primary objective was to establish quality labeled datasets in computer vision and training computer vision models. I adhered to annotation rules in the strictest manner, was accurate, consistent, and worked with complex edge cases depending on the project needs. I also ensured the quality standards by using self-review and quality checks to ensure that the expectations of clients are met.

2020 - 2024

Education

Work History