Alqaseem Y.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

Hausa language conversational speech for ASR/NLP training

LLM response evaluation and linguistic/cultural quality feedback for AI training

Academic/document preparation with structured legal and chart data

Top Data Types

Audio

Text

Document

Top Task Types

Audio Recording

Data Collection

Freelancer Overview

Founder, CEO & Lead Audio Engineer — Al-qasim Hausa Nexus (Corpus Development). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose, Other, and Google Workspace. Education includes Bachelor of Arts, Northwest University (2024). AI-training focus includes data types such as Audio, Text, and Document and labeling workflows including Audio Recording, Evaluation, and Rating.

Labeling Experience

Freelance AI Trainer & Sourcing Partner (Independent Contractor)

OtherText

Provided ongoing AI training support by evaluating and ranking AI-generated responses against multi-axis rubrics for accuracy, clarity, and safety. Identified linguistic edge cases, failure scenarios, and cultural nuances, translating them into documented feedback loops for frontier model enhancement. Referred qualified domain expertise to support training and sourcing needs for global AI platforms. • Rated model outputs using comprehensive safety and quality criteria. • Documented linguistic failure modes and cultural nuance gaps for iterative improvement. • Produced actionable feedback intended to strengthen model performance on real user language use. • Conducted outreach to locate and connect specialized talent for AI training tasks.

2026 - Present

Founder, CEO & Lead Audio Engineer — Al-qasim Hausa Nexus (Corpus Development)

Don't discloseAudioAudio Recording

Engineered and deployed a high-fidelity Hausa speech dataset for ASR and NLP model training, emphasizing spontaneous conversational dialogue. Captured diverse demographic acoustic profiles and ensured ethically sourced, consented recordings suitable for commercial AI pipelines. Produced structured speaker metadata to support downstream model training and evaluation in frontier AI contexts. • Recorded participant and parental consent to meet ethical and legal compliance requirements. • Designed metadata schemas mapping speaker ID, age, gender, and regional dialect tags. • Collected child (10- and 13-year-old) and adult speech data to broaden coverage of demographic variation. • Coordinated technical validation with AI infrastructure developers to enable dataset licensing and integration.

2024 - Present

Academic Contributor & Document Specialist — Careerflow Platform

DocumentData Collection

Researched and drafted an academic lecture manuscript while organizing domain categorization of complex legal memorandums and original data charts. Managed publication-standard documentation practices to ensure the output met external requirements. Curated and structured source materials as part of preparing educational and informational assets. • Researched and produced a 30-page lecture manuscript on global governance and statehood dynamics. • Categorized and organized legal memorandums and original data charts for clarity and compliance with publication standards. • Ensured proper handling of complex domain content for audience-facing educational material. • Maintained adherence to external platform publication guidelines.

2026 - 2026

Education

Work History