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.