Favour F.

Key Skills

Software

Scale AI

Telus

Other

Top Subject Matter

AI model training and response quality/safety (text/NLP)

Video dataset annotation for ML training

Image dataset labeling for ML training

Top Data Types

Text

Video

Image

Audio

Top Task Types

RLHF

Classification

Transcription

Segmentation

Freelancer Overview

AI Data Annotator / Trainer — Scale AI (RLHF on text). Core strengths include Scale AI, Telus, and Other. Education includes Bachelor of Science in Computer Science, University of Nigeria Nsukka(2024) and ALX Africa Certificate, ALX Africa (2023). AI-training focus includes data types such as Text, Video, and Image and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Content Trainer — Telus Digital (audio transcription/speech)

TelusAudioTranscription

Performed audio transcription and speech annotation tasks to generate accurate labeled speech data. Reviewed output quality to ensure high fidelity and correctness for downstream use. Applied consistent annotation practices to meet project standards and dataset requirements. • Completed audio transcription with high fidelity • Labeled speech content to support training pipelines • Ensured correctness through quality review steps • Delivered annotations aligned with task guidelines

2023 - Present

AI Content Trainer — Telus Digital (NLP evaluation)

TelusText

Evaluated and improved AI model outputs across NLP tasks, including dataset and model output assessment. Conducted cultural and linguistic quality reviews to improve dataset diversity and inclusivity. Completed related audio transcription and speech annotation work with high fidelity and accuracy. • Evaluated NLP outputs to identify quality issues • Performed cultural/linguistic quality reviews for inclusivity • Supported dataset improvements via feedback and correction • Completed speech-related annotations with high accuracy

2023 - Present

AI Data Annotator / Trainer — Scale AI (image labeling)

Scale AIImageClassification

Annotated and labeled large-scale image datasets to support training of state-of-the-art ML models. Produced high-quality labels that contributed to reliable dataset construction and model performance. Followed strict QA expectations and worked with reviewers to resolve discrepancies. • Labeled images for computer vision model training • Maintained high accuracy against project quality standards • Addressed guideline ambiguities with QA support • Supported multiple annotation projects across diverse content

2023 - Present

AI Data Annotator / Trainer — Scale AI (video labeling)

Scale AIVideo

Annotated and labeled large-scale video datasets to train state-of-the-art ML models. Ensured labels were accurate, consistent, and aligned with project requirements for effective model learning. Collaborated asynchronously with QA reviewers to address ambiguities and improve annotation outcomes. • Labeled video data for machine learning model training • Applied quality checks to maintain benchmark accuracy • Coordinated with QA reviewers to handle guideline edge cases • Produced reliable annotations for diverse dataset projects

2023 - Present

AI Data Annotator / Trainer — Scale AI (RLHF on text)

Scale AITextRLHF

Trained and evaluated AI models by performing RLHF tasks, including rating and ranking AI-generated responses for quality and safety. Worked on large-scale text datasets to support downstream ML training and alignment objectives. Maintained consistency with annotation guidelines and quality benchmarks during high-volume review cycles. • Rated AI-generated responses for safety and overall quality • Ranked outputs to reflect preferred assistant behavior • Followed guidelines to resolve edge cases with QA reviewers • Met strict accuracy and quality benchmarks across projects

2023 - Present

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Education

Work History