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Lawrence IhesiLI
Open to opportunities

Lawrence Ihesi

@lawrenceihesi

I’m an RLHF-certified AI data specialist and video annotation auditor for high-precision training quality.

Nigeria
Message

What I'm looking for

I’m looking for remote opportunities where I can audit and improve AI training data quality—especially RLHF, prompt evaluation, SQE, and multilingual annotation—while working with clear guidelines, high standards, and fast feedback loops.

I’m an RLHF-Certified AI Data Specialist with 3+ years delivering high-precision annotation, evaluation, and quality assurance across image, audio, and video modalities. I’ve completed 300+ hours of AI video annotation with Auditor Certification status, and I consistently support enterprise-grade annotation standards through guideline enforcement and structured QA workflows.

I build reliable training data by handling edge cases with careful, judgment-based interpretation and by validating outputs for accuracy and consistency—including 500+ RLHF-labeled samples at 97% accuracy and 800+ hours of multilingual transcription. I enjoy remote-first work that blends RLHF preference ranking, prompt/output evaluation, and search quality evaluation (SQE), while bringing fluent coverage across English, Igbo, and Nigerian Pidgin.

Experience

Work history, roles, and key accomplishments

Luel.ai logoLU
Current

RLHF Data Specialist

Luel.ai

Jan 2023 - Present (3 years 4 months)

Delivered 7,000+ spatially precise image annotations and transcribed 800+ hours of multilingual audio (English, Igbo, Nigerian Pidgin) with structured intent labeling. Achieved 97% accuracy across 500+ RLHF-labeled samples and supported RLHF preference ranking, prompt output scoring, and search quality evaluation (SQE), improving consistency on edge-case batches.

Education

Degrees, certifications, and relevant coursework

OP

Ogbonnaya Onu Polytechnic

Higher National Diploma (HND), Electrical & Electronics Engineering

Earned a Higher National Diploma (HND) in Electrical & Electronics Engineering in 2024.

Tech stack

Software and tools used professionally

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