Ahmed Basam

Key Skills

Software

Appen

Clickworker

Mindrift

Toloka

Snorkel AI

Top Subject Matter

Natural Language Processing (NLP)

LLM evaluation in English and Arabic

Data Analysis and Visualization

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Text Summarization

Freelancer Overview

As an experienced data analyst and AI enthusiast, I have a strong foundation in data labeling and AI training data. I have successfully contributed to various projects across diverse domains, including biology, natural sciences, and accounting. My expertise lies in effectively preparing and annotating datasets to meet the specific requirements of different AI models. I am proficient in using various data labeling tools and techniques to ensure accuracy and consistency in the labeled data. My ability to understand complex subject matter and translate it into actionable data has been instrumental in delivering high-quality training datasets for AI projects.

Labeling Experience

AI trainer/ Tutor

MindriftTextPrompt Response Writing SFT

Project Description: AI Tutor/Writer Prompt and 3 Responses Scope: The project aimed to develop an AI-powered tutoring and writing tool capable of generating high-quality prompts and three corresponding responses for a variety of topics in biology and natural sciences. The tool was designed to assist students in their learning process by providing engaging and informative content. Data Labeling Tasks: 1-Prompt Creation: Generating diverse and informative prompts that effectively guide student understanding and encourage critical thinking. 2-Response Generation: Creating three high-quality responses to each prompt, ensuring they are accurate, relevant, and provide different perspectives or approaches to the topic. Size: Large dataset of prompts & responses. Quality: Ensure content is correct, relevant, clear, and diverse.

Project Description: AI Tutor/Writer Prompt and 3 Responses Scope: The project aimed to develop an AI-powered tutoring and writing tool capable of generating high-quality prompts and three corresponding responses for a variety of topics in biology and natural sciences. The tool was designed to assist students in their learning process by providing engaging and informative content. Data Labeling Tasks: 1-Prompt Creation: Generating diverse and informative prompts that effectively guide student understanding and encourage critical thinking. 2-Response Generation: Creating three high-quality responses to each prompt, ensuring they are accurate, relevant, and provide different perspectives or approaches to the topic. Size: Large dataset of prompts & responses. Quality: Ensure content is correct, relevant, clear, and diverse.

2024 - 2024

Data Annotator

MindriftTextEvaluation Rating

Project Description: Biology Data Annotation for AI Model Evaluation Scope: Annotate biological data for AI model evaluation. Specific Data Labeling Tasks: Text Annotation: Annotating text data related to biological concepts, terms, and entities. This included tasks such as identifying named entities (e.g., genes, proteins, diseases), classifying text into categories (e.g., question, statement, hypothesis), and tagging relationships between entities. Image Annotation: Annotating biological images, such as microscopic images or diagrams, to identify and label relevant features or objects. This involved tasks like object detection, segmentation, and classification. Size: Thousands of documents and images. Quality: Adhere to guidelines, ensure consistency, and conduct regular checks.

Project Description: Biology Data Annotation for AI Model Evaluation Scope: Annotate biological data for AI model evaluation. Specific Data Labeling Tasks: Text Annotation: Annotating text data related to biological concepts, terms, and entities. This included tasks such as identifying named entities (e.g., genes, proteins, diseases), classifying text into categories (e.g., question, statement, hypothesis), and tagging relationships between entities. Image Annotation: Annotating biological images, such as microscopic images or diagrams, to identify and label relevant features or objects. This involved tasks like object detection, segmentation, and classification. Size: Thousands of documents and images. Quality: Adhere to guidelines, ensure consistency, and conduct regular checks.

2023 - 2024

audio transcriber

Snorkel AIAudioAudio Recording

I have 4 years of experience in using Label Studio and in audio transcription for both Arabic and English languages.

I have 4 years of experience in using Label Studio and in audio transcription for both Arabic and English languages.

2021 - 2024

AI trainer

MindriftTextEvaluation RatingPrompt Response Writing SFT

Project Description: Mindrift AI - Accounting & Finance Scope: AI for data extraction, classification, analysis, summarization, and NLP in financial data. Tasks: Entity & relation annotation, sentiment analysis, intent classification. Size: Large dataset of financial documents & transactions. Quality: Inter-/intra-annotator agreement, model evaluation metrics, error analysis.

Project Description: Mindrift AI - Accounting & Finance Scope: AI for data extraction, classification, analysis, summarization, and NLP in financial data. Tasks: Entity & relation annotation, sentiment analysis, intent classification. Size: Large dataset of financial documents & transactions. Quality: Inter-/intra-annotator agreement, model evaluation metrics, error analysis.

2022 - 2023

Education

Work History