Howard Adeniyi

Key Skills

Software

Appen

Top Subject Matter

Multimedia AI Training Data

Voice Recognition

Automotive Domain Expertise

Top Data Types

Video

Audio

Image

Top Task Types

Object Detection

Transcription

Freelancer Overview

Data Annotator/AI Trainer. Brings 21+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Appen. Education includes Bachelor of Science, Excelsior University. AI-training focus includes data types such as Video and Audio and labeling workflows including Object Detection and Transcription.

Labeling Experience

Data Annotator/AI Trainer

VideoObject Detection

As a Data Annotator/AI Trainer, I executed high-volume annotation tasks across video, image, and audio datasets for machine learning model training. I consistently maintained high accuracy while labeling objects, scenes, and speech in complex multimedia data. By streamlining workflows and resolving ambiguities, I improved efficiency and annotation quality. • Used internal CRM systems to manage annotation tickets and ensure traceability. • Consistently delivered annotated data with greater than 95% accuracy. • Initiated performance tracking methods, boosting personal productivity by 25%. • Communicated regularly with project leads to clarify annotation guidelines.

As a Data Annotator/AI Trainer, I executed high-volume annotation tasks across video, image, and audio datasets for machine learning model training. I consistently maintained high accuracy while labeling objects, scenes, and speech in complex multimedia data. By streamlining workflows and resolving ambiguities, I improved efficiency and annotation quality. • Used internal CRM systems to manage annotation tickets and ensure traceability. • Consistently delivered annotated data with greater than 95% accuracy. • Initiated performance tracking methods, boosting personal productivity by 25%. • Communicated regularly with project leads to clarify annotation guidelines.

2024 - Present

Multimedia Data Annotator

AppenAudioTranscription

As a Multimedia Data Annotator with Appen, I performed transcription and speaker diarization of audio datasets for voice recognition systems. I contributed to image and video annotation projects involving bounding box labeling, event detection, and object tracking. I ensured metadata tagging accuracy and participated in peer review for quality assurance. • Maintained audit accuracy rates above 98% through careful annotation. • Used client-specific software platforms to meet tight deadlines. • Provided detailed feedback on peer annotations for quality improvement. • Handled large-scale automotive and retail datasets for annotation projects.

As a Multimedia Data Annotator with Appen, I performed transcription and speaker diarization of audio datasets for voice recognition systems. I contributed to image and video annotation projects involving bounding box labeling, event detection, and object tracking. I ensured metadata tagging accuracy and participated in peer review for quality assurance. • Maintained audit accuracy rates above 98% through careful annotation. • Used client-specific software platforms to meet tight deadlines. • Provided detailed feedback on peer annotations for quality improvement. • Handled large-scale automotive and retail datasets for annotation projects.

2016 - Present

Education

Work History