Experience Range- 3 to 5 years of relevant experience
Mandatory Technical Skillset
- Data Annotation: Ability to label and annotate datasets (images, video, sensor data).
- Quality Assurance: Ensure accuracy, consistency, and perform quality checks.
- Tool Utilization: Hands-on experience with data labelling tools (e.g., CVAT, Scale AI, LabelBox).
- Communication: Good verbal and written communication skills.
- Collaboration: Ability to work effectively in a team with engineers and stakeholders.
Valuable to have Technical Skills
- Problem-Solving: Analytical skills to identify and resolve annotation challenges.
- Documentation: Maintaining clear records of processes and guidelines.
- Domain Knowledge: Exposure to automotive or manufacturing datasets.
Key Job Responsibilities
- Annotate and label datasets (images, video, and sensor data) with high accuracy and consistency.
- Perform quality checks to validate labelled data and ensure compliance with project guidelines.
- Use data labelling tools/software efficiently and effectively.
- Collaborate with data engineers and stakeholders to meet annotation requirements and deadlines.
- Maintain documentation of labelling processes, standards, and best practices.
- Identify and resolve basic annotation issues while supporting process improvements.
- Be a team player and work well with a diverse team which may be spread all over the world through strong and clear communication.
- Research on how to implement various requirements and make informed decisions in a timely manner.
- Take active part in weekly review meetings and put forth ideas or solutions to problems.
📌 Data Annotation Specialist (India)
🏢 Softwise Mechatronics
📍 India
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