Data Labelling and Tagging Consultant

We are seeking a highly skilled and detail-oriented Data Labelling and Tagging Consultant to assist in the preparation, annotation, and organization of datasets for AI/ML models. The ideal candidate will possess expertise in data annotation tools, tagging methodologies, and a solid understanding of machine learning workflows. You will play a crucial role in ensuring data quality, consistency, and accuracy for training and evaluating models. Key Responsibilities: Data Annotation and Tagging: - Label, tag, and annotate datasets (e.g., text, images, audio, video) according to predefined guidelines. - Ensure consistency and accuracy in annotations to meet project requirements. - Identify and correct data inconsistencies and anomalies. Tool and Workflow Management: - Use data labelling tools such as Labelbox, Supervisely, Scale AI, or similar platforms. - Design and implement annotation workflows for large-scale datasets. - Optimize the tagging process for speed and accuracy. Data Quality Assurance: - Conduct quality checks on labelled data to ensure adherence to project standards. - Collaborate with the QA team to refine guidelines and improve labelling accuracy. Collaboration with Teams: - Work closely with data scientists, engineers, and product managers to understand data requirements. - Provide feedback to improve annotation guidelines and processes. Documentation and Reporting: - Maintain comprehensive documentation of labelling methodologies and processes. - Provide regular updates on project progress, including metrics for dataset quality and completeness. Required Skills and Qualifications: - Bachelors degree in Computer Science, Data Science, or a related field (or equivalent experience). - Proven experience in data labelling, annotation, or data preparation for AI/ML models. - Proficiency with annotation tools like Labelbox, CVAT, or Amazon SageMaker Ground Truth. - Familiarity with machine learning concepts and workflows. - Excellent attention to detail and problem-solving skills. - Strong organizational skills and the ability to manage multiple tasks simultaneously. - Basic programming skills (e.g., Python) are a plus. - Experience with image, text, or video datasets is highly desirable. Skills: Python Experience: 1.00-6.00 Years