Job Location: Bangalore
Notice Period: Immediate Joiner
Roles & Responsibilities:
1. Data Annotation Specialist / Video Analyst
* Annotate images and videos using internal tools with high accuracy.
* Label keyframes, objects, actions, and events per guidelines.
* Follow complex instructions and maintain annotation quality standards.
* Work with large datasets and ensure consistency in annotations.
* Communicate issues or ambiguities in annotation instructions.
* Collaborate with QA teams to improve annotation processes.
2. Synthetic Data Verifier
* Review and verify synthetic data generated using 3D simulations or AI tools.
* Compare real-world and synthetic datasets for accuracy and realism.
* Report anomalies, bugs, or deviations in synthetic environments.
* Suggest improvements to the synthetic data generation process.
3. Annotation Tech Lead
* Lead a team of annotators and analysts across various projects.
* Ensure timely delivery and quality of annotated datasets.
* Design and maintain annotation workflows, SOPs, and quality checks.
* Provide technical guidance on tools, scripting (e.g., Python), and automation.
* Liaise with ML/AI engineers to understand data needs and iterate on labeling
strategies.
* Train and mentor new team members on best practices and tools.
Key Skills Required:
* Strong attention to detail and pattern recognition.
* Experience with data annotation tools (e.g., CVAT, Labelbox, V7, SuperAnnotate).
* Familiarity with video tagging, frame-by-frame analysis, or temporal annotation.
* Basic understanding of computer vision concepts is a plus.
* Experience with Python or automation tools is a bonus (for tech leads).
* Ability to work in a fast-paced and iterative environment.
Qualifications:
* Bachelor’s degree in any discipline (Engineering, Computer Science, or related field
preferred).
* 0-6 years of relevant experience (higher experience for tech lead roles).
* Prior experience in data labeling or AI/ML projects preferred.
Nice to Have:
* Exposure to synthetic data tools (e.g., Unreal Engine, Unity, Blender).
* Understanding of AI model training pipelines.
* Experience in QA or process improvement for annotation pipelines.