Oluwaseun Alade

Data Annotator with experience in image annotation, text classification, content moderation, data validation, and AI response evaluation. Proven ability to follow complex annotation guidelines, maintain high levels of accuracy, and contribute to the development of high-quality datasets for machine learning applications. Skilled in identifying data inconsistencies, performing quality assurance checks, and supporting AI model improvement through structured annotation and feedback processes.

Data Annotator (AI Ops) at Hugo Technologies (2025-04 – Present)

• Annotated and labeled 10,000+ image and text according to project guidelines, ensuring high-quality training data for machine learning models.
• Annotated short-form video content by labeling summaries, keyframes, named and unnamed entities, and other semantic elements to support AI model training and improve video understanding.
• Categorize and classify textual data following annotation guidelines to improve natural language processing (NLP) model performance.
• Evaluated 1000+ AI-generated responses weekly for relevance, accuracy, safety, and clarity to support model improvement.
• Review and moderate content to ensure compliance with platform safety standards and age-appropriate content policies.
• Maintained 95%+ annotation accuracy while meeting project productivity and quality benchmarks.

Content Writer (part-time) at RediscoverMe Coaching (2025-05 – 2025-08)

• Created engaging content for RediscoverMe social media pages.
• Conducted thorough research on topics to ensure content accuracy, relevance, and authority.
• Aligned content with brand guidelines while optimizing messaging for clarity, engagement, and audience relevance.
• Scheduled and coordinated posts across platforms to maintain consistency.
• Collaborated with other team members to brainstorm content ideas and campaign strategies.

Customer Support and Data Entry Specialist at Hauliin (2024-01 – 2025-03)

• Tagged, categorized, and validated large datasets containing 5,000+ records to support AI and machine learning workflows. Annotated image and text-based data according to project requirements and quality standards.
• Conducted quality reviews to identify and correct inconsistencies, ensuring data accuracy and reliability.
• Organized and maintained structured datasets to improve accessibility and operational efficiency. Collaborated with team members to ensure timely completion of data processing and annotation tasks.

Bachelor of Technology in Food Science and Technology – Federal University of Technology, Akure