Biliaminu S.

Key Skills

Software

Scale AI

Remotasks

Top Subject Matter

NLP data labeling and LLM evaluation for alignment training

Computer vision annotation plus speech and intent labeling

Text data curation

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Segmentation

Classification

Freelancer Overview

Freelance AI Data Annotator (Independent / Remote Projects). Core strengths include N, A, and Scale AI. Education includes Bachelor of Science, University of Ilorin (2020). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF, Segmentation, and Classification.

Labeling Experience

Freelance AI Data Annotator (Independent / Remote Projects)

TextRLHF

Freelance AI Data Annotator role focused on large-scale text labeling and AI training support using RLHF evaluation. Responsibilities included delivering human feedback signals on generative model outputs and assessing safety, robustness, and factual grounding via structured prompt testing. Work emphasized high accuracy and consistent quality across production labeling tasks. • Labeled 40,000+ text samples for classification, NER, and sentiment analysis • Provided RLHF comparisons and quality ratings for generative AI outputs • Authored and evaluated adversarial prompts for LLM safety/robustness/factuality • Collaborated to refine annotation guidelines and resolve edge-case conflicts

2023 - Present

Freelance Data Annotator (Scale AI / Remotasks)

Scale AIImageSegmentation

Freelance Data Annotator role supporting training data creation for computer vision and speech/intent systems. Completed multimodal labeling including detailed visual annotations and audio transcription categories to improve downstream model performance. Maintained top-tier labeling quality and contributed to team throughput through mentoring and QA adherence. • Labeled bounding boxes, semantic segmentation masks, and keypoints for vision training • Transcribed and categorized audio clips for ASR and intent-detection pipelines • Maintained 99%+ quality scores with Top Contributor recognition • Mentored new annotators on platform workflows and labeling standards

2021 - 2022

Content & Data Analyst (Andela Talent Network)

TextClassification

Content & Data Analyst work focused on preparing labeled text resources for NLP preprocessing and multi-label classification projects. Responsibilities emphasized data cleaning, taxonomy design, and ongoing quality reporting using inter-annotator agreement metrics. The role supported consistent dataset construction for model development workflows. • Curated and cleaned large text corpora for NLP preprocessing • Developed taxonomy frameworks for multi-label classification • Produced weekly quality reports tracking inter-annotator agreement (IAA) • Supported structured data quality processes for labeling consistency

2020 - 2021

Education

Work History