Yusuf Dhikrullah-AI Training Intern
Check rate
Experience
AI Training Intern
SuperAnnotate.com
- Annotated large datasets for machine learning and computer vision projects, improving model accuracy.
- Supported the collection and curation of diverse data types including images, video, and text, ensuring alignment with model objectives.
- Participated in team discussions to improve annotation processes, enhancing data consistency and labeling guidelines.
- Collaborated with AI companies to develop training materials and provide annotated data for various AI-related tasks, particularly in natural language processing (NLP).
AI Trainer
Freelance AI Tutor
- Worked with AI teams to train large language models (LLMs) through creation, testing, and optimization of prompts, including verification of AI responses, tone, user intent, and fact verification.
- Collaborated with AI teams to design and refine training processes for AI models, ensuring optimal data collection methods.
- Assisted in the creation of high-quality training datasets for conversational AI by interacting in natural language.
- Led efforts to annotate large amounts of training data, helping AI systems understand contextual and nuanced information.
- Provided real-time feedback on AI model behavior to assist in model fine-tuning and improvement.
- Assisted in designing AI systems by annotating conversational data and structuring training inputs for chatbots and virtual assistants.
- Authored detailed golden answers that explained reasoning, verified facts, and improved AI comprehension.
- Designed, tested, and refined prompts with Markdown formatting to ensure clarity, structure, and alignment with training guidelines.
- Summarized complex academic and technical content into concise, reader-friendly explanations to support instructional clarity in AI model training.
- Completed large batches of annotation tasks within tight deadlines while maintaining quality and consistency.
- Performed short-form recording tasks for AI model training involving audio and video annotation.
- Designed and tested prompts for marketing, customer engagement, and SEO-driven scenarios to train AI models in digital marketing use cases.
- Reviewed AI-generated marketing copy, ensuring clarity, tone alignment, and keyword optimization for search relevance.
AI Data Annotation Specialist
Freelance
- I am annotating and labeling AI models at a high quality on text, audio, and video datasets, ensuring data accuracy and contextual relevance.
- Applied annotation tools to improve model performance in natural language processing (NLP) and computer vision applications.
- Worked with AI development teams to annotate and label large datasets, including text, audio, and video data, for model training.
- Participated in refining AI-generated content, reviewing model outputs, and providing feedback to improve accuracy.
- Utilized annotation tools like Labelbox, Prodi.gy, and SuperAnnotate to annotate data for AI model development.
- Engaged in collecting audio and video data, recording sessions, and annotating for machine learning models in various contexts.
- Conducted research to gather relevant datasets, including text and audio, for AI-based models to understand human interactions.
- Selected and curated relevant material from diverse datasets to support prompt–answer generation for AI training.
- Ensured annotations and written responses were original, contextually accurate, and grounded in source material.
- Performed high-throughput tagging, validation, and classification tasks to support rapid AI dataset development.
- Developed training datasets simulating real-world content marketing strategies, improving AI accuracy in SEO-focused outputs.
AI Data Annotation Specialist & Technical Model Trainer
- Conducted critical evaluation of AI-generated responses across technical and complex domains using specialized grading rubrics to drive reinforcement learning with human feedback (RLHF).
- Developed and authored golden answers and authoritative ground-truth content, improving factual consistency and technical response quality of large language models.
- Applied advanced prompt engineering techniques and rigorous quality assurance to identify and resolve model failures, ensuring data accuracy and contextual relevance aligned with project requirements.
- Exceeded high-quality data annotation and scoring metrics (accuracy, intent verification, and content review) to improve model performance in natural language processing (NLP) applications.
Industry Experience
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Experienced in Information Technology.
Business Area Experience
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Experienced in Research and Development, Information Technology, Product Development, and Quality Assurance.
Summary
Detail-oriented AI Tutor and Data Annotation Specialist with hands-on experience in training and refining AI models and expertise in prompt engineering and golden answer authoring. Proficient in collecting, labeling, and curating text, audio, and video data to improve AI model performance. Demonstrated ability to follow data collection guidelines and work closely with technical teams to contribute to innovative AI systems. Passionate about advancing AI technologies and ensuring high-quality data for model training. Skilled in summarizing complex concepts into clear, structured explanations to train large language models (LLMs). Proficient in Markdown and familiar with LaTeX for technical formatting.
I am passionate about producing high-quality, original instructional content that advances AI technologies.
Skills
- Data Annotation: Data Annotation, Model Training Support, Data Labeling, Text Annotation, Image & Video Annotation, Audio Transcription, Intent Classification, Entity Recognition, Prompt Engineering, Conversational Ai Training, Data
- Ai Quality Assurance & Model Evaluation: Fact-Checking Ai Responses, Intent Verification, Content Review, Ai Response Scoring, Contextual Understanding Assessment
- Ai Tools & Platforms: Labelbox, Superannotate, Prodi.Gy, Scale Ai, Openai Tools, Hugging Face Datasets, Custom Annotation Software
- Technical & Analytical: Natural Language Processing (Nlp) Basics, Large Language Models (Llms), Prompt Design, Data Validation, Research & Data Analysis
- Remote Workflow & Collaboration Tools: Slack, Asana, Clickup, Google Workspace, Microsoft Office Suite
- Formating: Latex (Basic Knowledge), Markdown Formating, Golden Answer Authoring, Instructional Writing, Academic Content Summarization, Canva (Basic Image Editing For Annotation Projects)
- Ai Evaluation & Rlhf: Ai Response Scoring, Reinforcement Learning With Human Feedback (Rlhf), Prompt Engineering, Golden Answer Authoring, Technical Content Review, Contextual Understanding Assessment, Data Validation
- Cyber Threat Intelligence (Cti) Knowledge: Ttps (Tactics, Techniques, And Procedures), Threat Actor Groups Analysis, Incident Response Lifecycle (Picerl/Dair), Vulnerability Management, Threat Modeling, Log Analysis, Mitre Att&Ck Framework (Conceptual Knowledge).
Languages
Education
Obafemi Awolowo University
Bachelor of Arts, English Language and Communication Studies · English Language and Communication Studies · Ife, Nigeria · 3.4
Statistics
Experience
Global Experience
Expertise
Qualifications
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