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Telus
Mercor
Mindrift
OneForma
Labelbox
Data Annotation Tech
CVAT
Text
Image
Audio
Classification
RLHF
Entity (NER) Classification
Object Detection
Text Generation
Question Answering
Text Summarization
Fine-tuning
Transcription
Evaluation/RatingData Clerk / Research Assistant (Internship) — Noble News Media Organisation (2023–2024). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other and Power BI. Education includes Bachelor of Science, Ahmadu Bello University (2024) and National Youth Service Corps Completion, National Youth Service Corps (NYSC) (2024). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.
TextRLHFExecuted RLHF-based data annotation tasks on text datasets, evaluating and ranking AI-generated responses across accuracy, helpfulness, and safety using structured platform rubrics. Processed over 500 text data points weekly as part of a large LLM training pipeline, consistently meeting and exceeding platform quality standards by applying annotation guidelines with precision.
TextCompleted independent data analysis and visualization projects using labeling logic aligned with AI training workflows. Conducted content analysis exercises by tagging and categorizing media outputs by theme, tone, and audience. Performed prompt evaluation by comparing AI-generated responses against expected outputs to understand model quality criteria. • Tagged and categorized media outputs using theme, tone, and audience labels • Applied data structuring and labeling logic when building dashboards • Compared AI responses to expected outputs for quality evaluation • Practiced instruction-following assessment aligned with RLHF-style evaluation tasks
TextClassificationWorked as a Data Clerk/Research Assistant performing structured news content verification and categorization. Labeled content by topic, sentiment, and relevance while maintaining consistency across multiple media monitoring assignments. Cross-referenced sources to flag inaccurate or inconsistent information and supported QA-style workflows for downstream annotation pipelines. • Categorized news content with labels for topic, sentiment, and relevance • Verified facts by cross-referencing multiple structured and unstructured sources • Maintained consistent outputs under tight deadlines and repetitive structured tasks • Summarized findings objectively to support clear interpretation of labeled content
Bachelor of Science, Mass Communication
National Youth Service Corps Completion, National Service
Data Analyst & Research Project Worker
Data Clerk / Research Assistant (Intern)
