Abdirahman Ali

Key Skills

Software

CVAT

Other

Top Subject Matter

General AI/ML workflows

Speech and Audio

Academic/research Domain Expertise

Top Data Types

Image

Audio

Text

Top Task Types

Bounding Box

Transcription

Data Collection

Freelancer Overview

Freelance AI Data Support (Remote). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Other. Education includes Bachelor of Science, University of Wisconsin–Milwaukee (2020). AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Bounding Box, Transcription, and Data Collection.

Labeling Experience

Freelance AI Data Support (Remote)

CVATImageBounding Box

As a Freelance AI Data Support specialist, I annotated and labeled image, text, and audio datasets using various professional platforms. I performed data validation and quality checks to ensure labeling accuracy and consistency across projects. My responsibilities included reviewing AI-generated outputs, cleaning data, and providing structured datasets for AI model training. • Utilized CVAT, Labelbox, and Roboflow to label and annotate large datasets • Ensured data quality using consistent validation and cross-checking processes • Processed data in formats such as JSON and CSV for workflow integration • Contributed to model training improvement through feedback and efficiency tracking

As a Freelance AI Data Support specialist, I annotated and labeled image, text, and audio datasets using various professional platforms. I performed data validation and quality checks to ensure labeling accuracy and consistency across projects. My responsibilities included reviewing AI-generated outputs, cleaning data, and providing structured datasets for AI model training. • Utilized CVAT, Labelbox, and Roboflow to label and annotate large datasets • Ensured data quality using consistent validation and cross-checking processes • Processed data in formats such as JSON and CSV for workflow integration • Contributed to model training improvement through feedback and efficiency tracking

2022 - Present

Independent Transcription & Audio Review Work

OtherAudioTranscription

As an independent transcription contractor, I transcribed and reviewed diverse audio clips to enhance data quality for AI training. My role involved supporting audio and speech-related data labeling and validation efforts. I focused on maintaining high accuracy and clarity to facilitate reliable model training. • Handled speech transcription and labeling tasks using Audacity and transcription tools • Conducted quality assurance reviews of transcribed outputs • Supported audio labeling for speech recognition datasets • Delivered consistent results for ongoing AI projects

As an independent transcription contractor, I transcribed and reviewed diverse audio clips to enhance data quality for AI training. My role involved supporting audio and speech-related data labeling and validation efforts. I focused on maintaining high accuracy and clarity to facilitate reliable model training. • Handled speech transcription and labeling tasks using Audacity and transcription tools • Conducted quality assurance reviews of transcribed outputs • Supported audio labeling for speech recognition datasets • Delivered consistent results for ongoing AI projects

2021 - Present

Academic Projects – Software Engineering

OtherTextData Collection

During academic projects in my software engineering studies, I cleaned and organized datasets for analysis and AI model input. I worked with text and structured data using Python and data processing tools. This involved preparing data in CSV and JSON formats for use in small-scale machine learning tasks. • Cleaned and structured datasets to remove inconsistencies and errors • Utilized Python (Pandas) for data preparation and organization • Ensured readiness of data for analysis and integration into ML models • Developed foundational skills in data annotation for research environments

During academic projects in my software engineering studies, I cleaned and organized datasets for analysis and AI model input. I worked with text and structured data using Python and data processing tools. This involved preparing data in CSV and JSON formats for use in small-scale machine learning tasks. • Cleaned and structured datasets to remove inconsistencies and errors • Utilized Python (Pandas) for data preparation and organization • Ensured readiness of data for analysis and integration into ML models • Developed foundational skills in data annotation for research environments

2018 - 2020

Education

Work History