AI/ML Data Annotation Trainer

Job highlights

• . Bachelors or Master s degree in Computer Science,AI / ML,Data Science,or a related field
• . 3+ years of experience in AI / ML data annotation,data labeling,or AI model training
• Experience with annotation tools such as Labelbox,CVAT,Supervisely,V7 Labs,or similar
• Experience in working with cross-functional teams in an AI / ML environment

Job Title: AI/ML Data Annotation Trainer

Location: Bangalore

Job Type: Full-Time

About the Role: We are looking for an experienced AI/ML Data Annotation Trainer who is well-versed in Computer Vision, Large Language Models (LLMs), and other relevant domains. The ideal candidate will have a strong understanding of AI/ML workflows, data annotation techniques, and quality assessment methods. This role involves training teams on best practices for data labeling, annotation tools, and model performance optimization.

Key Responsibilities:

• Design and deliver training sessions on AI/ML Data Annotation processes, including Image, Video, Text, and Audio annotation.
• Develop and maintain training materials, SOPs, and guidelines for various annotation projects.
• Provide hands-on training on annotation tools and platforms such as CVAT, Labelbox, SuperAnnotate, or similar.
• Educate teams on quality control mechanisms, best practices, and techniques for improving annotation accuracy.
• Train teams on data pre-processing, bias mitigation, and annotation standards for Computer Vision, NLP, and Multimodal AI models.
• Conduct assessments and evaluations to measure trainees performance and improve training methodologies.
• Collaborate with project managers, quality analysts, and other stakeholders to align training with business needs.
• Stay updated with the latest advancements in AI/ML and data annotation practices to refine training content.

Required Qualifications & Skills:

• Bachelors or Master s degree in Computer Science, AI/ML, Data Science, or a related field.
• 3+ years of experience in AI/ML data annotation, data labeling, or AI model training.
• Strong knowledge of Computer Vision, NLP, Large Language Models, and AI/ML model training workflows.
• Experience with annotation tools such as Labelbox, CVAT, Supervisely, V7 Labs, or similar.
• Familiarity with Python, TensorFlow, PyTorch, or OpenCV is a plus.
• Excellent training, mentoring, and communication skills.
• Ability to analyze and troubleshoot data annotation quality issues.
• Experience in working with cross-functional teams in an AI/ML environment.

Preferred Qualifications:

• Experience in training teams for large-scale AI/ML projects.
• Understanding of model evaluation metrics and data augmentation techniques.
• Previous experience working in data annotation for autonomous vehicles, healthcare AI, or retail AI.