Ahmod Ibrahim

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Point Key Point

Segmentation

Freelancer Overview

I am a dedicated data annotation and NLP specialist with over two years of hands-on experience transforming unstructured linguistic data into high-quality, structured datasets for AI and machine learning applications. With a strong academic background in Data Analytics and Linguistics, I have excelled in projects involving intent mapping, semantic analysis, and transcription—most recently contributing to the accuracy of Fortune 500 voice assistants at Appen. My expertise includes advanced statistical modeling, RLHF, prompt engineering, and multimodal annotation, supported by proficiency in tools such as Python, R, SQL, Excel, JIRA, and Slack. I am fluent in English and Yoruba, adept at managing high-volume workloads, and consistently deliver precise, actionable insights to enhance AI reliability and performance.

Labeling Experience

DATA ANNOTATION

AppenImagePoint Key PointSegmentation

Intent Mapping: Analyze and annotate large-scale datasets of user utterances, converting them into structured representations to improve voice-assistant accuracy for a Fortune 500 client. Quality Metrics: Consistently meet and exceed predefined quality standards, maintaining a 98.5% accuracy score across all assigned batches. Technical Troubleshooting: Utilize proprietary labeling tools within a macOS environment,resolving software-sync issues independently. Project Communication: Coordinate daily with Project Managers via JIRA and Slack to report progress, manage priorities, and escalate recurring data anomalies.

Intent Mapping: Analyze and annotate large-scale datasets of user utterances, converting them into structured representations to improve voice-assistant accuracy for a Fortune 500 client. Quality Metrics: Consistently meet and exceed predefined quality standards, maintaining a 98.5% accuracy score across all assigned batches. Technical Troubleshooting: Utilize proprietary labeling tools within a macOS environment,resolving software-sync issues independently. Project Communication: Coordinate daily with Project Managers via JIRA and Slack to report progress, manage priorities, and escalate recurring data anomalies.

2024

Education

Work History