Lawrence Ihesi
@lawrenceihesi
I’m an RLHF-certified AI data specialist and video annotation auditor for high-precision training quality.
What I'm looking for
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
AI Video Annotation Auditor
AtlasCapture.io
Jan 2024 - Present (2 years 4 months)
Completed 300+ hours of high-complexity AI video annotation, including autonomous driving and motion-ambiguity sequences. Earned Auditor Certification to independently review and approve team annotations and enforce guideline adherence through structured QA workflows.
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
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
Availability
Location
Authorized to work in
Job categories
Skills
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