University of Benin
Bachelors degree, Mechanical Engineering
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Experience: 1. Data Labeling: Annotate, categorize, and label data accurately using provided guidelines and tools. 2. Quality Assurance: Review and verify data annotations for consistency and accuracy. 3. Data Categorization: Identify patterns and categorize data based on predened criteria. 4. Tool Usage: Utilize annotation software or platforms effectively for efcient data labeling. 5. Collaboration: Work with data scientists, machine learning engineers, and project managers to understand project requirements. 6. Feedback Integration: Incorporate feedback to improve the quality of annotations. Skills: Attention to Detail: Ability to focus on minute details to ensure data accuracy. 2. Analytical Skills: Strong analytical thinking to categorize data logically. 3. Technical Prociency: Familiarity with annotation tools, basic computer skills, and sometimes scripting knowledge 4. Communication: Clear written and verbal communication for reporting inconsistencies or providing feedback. 6. Adaptability: Willingness to learn new tools and adapt to evolving project needs.
Daniel O. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelors degree, Mechanical Engineering
Data Annotator