Daniel M.

Key Skills

Software

Label Studio

CVAT

Mindrift

Top Subject Matter

Natural Language Processing (NLP)

Computer Vision

Speech Recognition

Top Data Types

Text

Image

Audio

Video

Document

Top Task Types

Classification

Transcription

Data Collection

Action Recognition

Freelancer Overview

Video Contributor at Mindrift. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Mindrift. Education includes Bachelor of Science, University of Lagos (2025) and WASSCE, Model College (2017). AI-training focus includes data types such as Video and Audio and labeling workflows including Data Collection, Transcription, and Evaluation.

Labeling Experience

Transcription Specialist at Anuttacon

AudioTranscription

Transcribed and annotated multilingual audio datasets with high accuracy, including speaker identification and non-verbal sound tagging. Applied transcription guidelines consistently to support speech recognition model development. Labeled background noise, speech patterns, and acoustic variations to enhance ASR training quality. • Multilingual transcription and audio annotation • Speaker identification and non-verbal sound tagging • Background noise and acoustic variation labeling • Consistent guideline application for ASR dataset improvement

2026 - 2026

AI Data Annotator / Labeler

Label StudioAudioTranscriptionClassification

I transcribed and labeled audio data for use in speech-to-text and audio classification models. My responsibilities included following structured labeling standards for high-quality dataset outputs. Completed rigorous reviews to ensure reliability and accuracy in transcription tasks. • Performed consistency checks on annotated audio files • Coordinated with technical teams to refine transcription workflow • Delivered labeled data for training speech recognition models • Utilized leading annotation tools throughout audio tasks.

2026 - 2026

Video Contributor at Mindrift

MindriftVideoData Collection

Recorded and submitted structured short-form video tasks to enrich computer vision datasets. Captured diverse environments and scenarios to improve model generalization and robustness. Followed task structure requirements to ensure usable dataset inputs for downstream training. • Video recording and submission for dataset enrichment • Coverage of varied environments and scenarios • Ensuring structured task compliance • Supporting robustness and generalization objectives

2025 - 2026

Data Annotator at WAGMI DAO

VideoData Collection

Performed multimodal annotations across video, image, audio, and text to support machine learning datasets. Ensured annotation accuracy through strict guideline adherence and consistency checks. Coordinated with community contributors to help maintain dataset quality and continuity. • Multimodal labeling (video, image, audio, text) • Guideline adherence and accuracy checks • Improving dataset quality for model training • Community coordination to support contributor workflow

2024 - 2024

Annotation Specialist at Meta Strikers

VideoAction Recognition

Directed annotation projects for gaming datasets by labeling player actions, UI elements, and audio cues for AI-driven gameplay systems. Improved annotation pipelines by streamlining processes to increase dataset usability. Contributed to text and social media annotation for sentiment and engagement analysis. • Player action labeling and UI element annotation • Audio cue labeling for gameplay systems • Pipeline improvements for usability • Text/social media sentiment and engagement annotation

2023 - 2023

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Education

Work History