Felix G.

Key Skills

Software

Other

Top Subject Matter

Audio response evaluation and AI training quality assurance

AI dataset quality assurance for audio/text outputs

Training data quality analysis and refinement support

Top Data Types

Audio

Top Task Types

Transcription

Freelancer Overview

AI Data Annotator / Audio Evaluator at Calcare Development Nigeria Limited. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes N/A, The Polytechnic, Ibadan (2019). AI-training focus includes data types such as Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

AI Data Annotator / Audio Evaluator at Calcare Development Nigeria Limited

OtherAudio

Evaluated audio samples for clarity, tone, and accuracy to support AI model training quality goals. Compared multiple AI-generated responses and ranked them based on overall quality and relevance. Provided detailed feedback and guidance intended to improve downstream model performance. • Audio quality assessment and scoring • Response ranking and comparative evaluation • Consistency checks against quality standards • Feedback documentation to refine AI outputs

2025 - Present

AI Data Annotator / Audio Evaluator at Aya Data

OtherAudioTranscription

Reviewed and analyzed audio and text outputs as part of quality assurance for AI training data. Identified errors, inconsistencies, and areas requiring improvement across evaluated samples. Collaborated with team members to maintain evaluation standards and improve annotation quality. • QA review of audio and corresponding text outputs • Error and inconsistency identification • Proofreading/transcription quality checks • Team collaboration to maintain guidelines

2023 - 2024

Content Reviewer / Quality Analyst at DataLense Africa

OtherAudio

Performed content review and quality analysis to support training data refinement initiatives. Ensured consistency with project guidelines while working through large datasets. Documented findings to inform improvements to labeled or training materials. • Training data content quality review • Consistency and guideline adherence checks • Documentation of findings for refinement • High-accuracy processing on large datasets

2022 - 2023

Education

Work History