Audio and video annotation
Accessing the Strength of Google live comparing it with its competitor Gemini Live
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Freelancer — Appen China Platform (Image annotation & evaluation tasks). Professional background includes roles such as Director of Finance and Accounts and Enumerator. Core strengths include Appen. Education includes Bachelor of Science, University of Maiduguri and Higher National Diploma, Ramat Polytechnic. AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Classification, Transcription, and Evaluation.
Accessing the Strength of Google live comparing it with its competitor Gemini Live
This project required us to work on client's tool ( Multimango and parimango) for the annotation of different task including text, audio and video.
Managed 1000+ micro-tasks and completed assignments with a reported 98% accuracy rate. Performed task-level evaluations and quality-focused checks according to project guidelines. Supported the creation of high-quality labeled datasets used for machine learning model development.• Completed a high volume of micro-tasks while maintaining near-accurate outputs.• Applied task instructions to perform evaluations and labeling decisions.• Verified outputs against quality expectations to achieve strong accuracy metrics.• Coordinated with international teams to maintain deliverable consistency.
Transcribed 100+ audio files from Hausa to English, ensuring linguistic accuracy and proper documentation. Completed transcription work within specified deadlines while maintaining required quality standards. Contributed clean textual data for language-related machine learning and evaluation workflows.• Transcribed multilingual audio content from Hausa to English with attention to wording accuracy.• Produced documentation aligned with project requirements for training/evaluation.• Maintained consistent transcription quality across multiple audio segments.• Managed completion of tasks within deadlines to support project timelines.
Annotated 500+ images by evaluating search relevance to improve the quality of labeled data for machine learning algorithms. Ensured the annotations met accuracy and consistency expectations across tasks. Worked with labeled-image quality requirements to support downstream model performance.• Annotated image samples to assess relevance signals for retrieval/search contexts.• Improved overall data accuracy for ML training by applying consistent labeling judgments.• Supported project deliverables through reliable task completion and quality checks.• Followed task guidelines to maintain consistency across image evaluation rounds.
First School Leaving Certificate, Primary Education
Senior Secondary School Certificate, General Education
Director of Finance and Accounts
Online Survey Participant / Freelancer