Faith A.

Key Skills

Software

Clickworker

Appen

Data Annotation Tech

Micro1

Mercor

Mindrift

OneForma

Remotasks

Scale AI

Snorkel AI

Toloka

Telus

Other

Top Subject Matter

Multilingual audio data for AI training and transcription workflows

Audio quality assurance for large-scale audio libraries

Top Data Types

Audio

Image

Video

Top Task Types

Transcription

Object Detection

Text Generation

Question Answering

Text Summarization

RLHF

Evaluation/Rating

Prompt + Response Writing (SFT)

Data Collection

Freelancer Overview

Data Annotation Specialist (Remote) — audio dataset labeling and AI training support. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Nursing Science, Federal University of Lafia (2026) and Certificate, ALX Africa. AI-training focus includes data types such as Audio and labeling workflows including Transcription, Evaluation, and Rating.

Labeling Experience

Data Annotation Specialist (Remote) — audio dataset labeling and AI training support

AudioTranscription

Annotated and labeled audio datasets for machine learning applications while training AI to interpret audio across different languages. Ensured accuracy and consistency in metadata tagging and transcription quality to support downstream modeling workflows. Contributed to refined dataset preparation processes for AI researchers and participated in recording edits to align audio with transcribed text.• Labeled audio samples and validated metadata tagging and transcription fidelity.• Trained AI on multilingual audio interpretation guidelines.• Edited recordings to match the provided or expected transcribed text.• Performed quality reviews of search engine results for relevance.

2025 - 2026

Audio Quality Assurance Specialist — audio QA and preparation

Audio

Performed quality checks on large-scale audio libraries and audio files to ensure they met production and research standards. Processed and prepared audio files for use in production and research workflows requiring clean, reliable audio data. Supported audio QA activities that improved dataset readiness for downstream applications.• Conducted QA checks across large collections of audio files.• Processed and prepared audio assets for production and research use.• Ensured audio quality suitable for dataset consumption.• Maintained consistency and reliability of audio files for subsequent workflows.

2022 - 2022

Education

Work History