We are looking for a detail-oriented AI/ML Data Annotation Associate to support the development and improvement of Artificial Intelligence (AI) and Machine Learning (ML) solutions.

The role involves reviewing video footage, identifying relevant objects, activities, events, or behaviors, and accurately annotating the video data according to defined guidelines. The annotated data will be used to train, validate, and improve Machine Learning and Computer Vision models.

This role is suitable for individuals who are observant, comfortable working with digital tools, and capable of performing structured, accuracy-focused work.

Key Responsibilities

- Review video footage and understand the activities, objects, events, and interactions occurring within the video.
- Annotate and label video data using specialized annotation tools based on predefined guidelines.
- Identify and tag objects, people, actions, movements, events, or other attributes required for Machine Learning models.
- Perform annotation activities such as:
- Object identification and classification
- Bounding box or region annotation
- Object tracking across video frames
- Activity and action classification
- Event identification
- Timestamp and sequence annotation
- Attribute and metadata tagging
- Maintain high levels of annotation accuracy and consistency.
- Review completed annotations and correct errors before submission.
- Follow project-specific annotation standards and quality guidelines.
- Identify ambiguous scenarios and escalate them for clarification.
- Incorporate feedback from quality reviewers and continuously improve annotation accuracy.
- Meet agreed productivity, quality, and turnaround-time targets.
- Maintain confidentiality and appropriately handle video and data used for annotation.
- Collaborate with annotation leads, quality teams, data teams, and AI/ML teams when required.





Required Skills

- Strong attention to detail and observational ability.
- Ability to concentrate on video content for extended periods.
- Good visual interpretation and pattern-recognition skills.
- Basic computer proficiency and ability to learn new software tools.
- Ability to understand and consistently follow detailed instructions.
- Good written comprehension and communication skills.
- Ability to distinguish between similar objects, activities, or events.
- Strong commitment to accuracy and quality.
- Ability to work independently while meeting productivity targets.

Key Performance Indicators Performance may be measured based on:

- Annotation accuracy
- Quality-review scores
- Consistency of labeling
- Number of videos/frames/tasks completed
- Turnaround time
- Adherence to annotation guidelines
- Rework/error percentage

Educational Qualification

- Graduate or undergraduate qualification in any discipline.
- Candidates with solid computer skills and attention to detail may also be considered based on the requirements of the project.
- A technical or computer-science background is not mandatory.

What the Role Contributes Video annotation is an important part of the Machine Learning development lifecycle. The annotations created in this role provide structured training data that enables AI systems to learn how to recognize objects, understand activities, track movement, identify events, and interpret real-world video information.

The role therefore provides an entry point into the growing field of AI data operations and Machine Learning data preparation, with potential progression into areas such as Data Quality, Annotation Quality Assurance, Annotation Team Leadership, AI Data Operations, and Computer Vision data projects.

Benefits

- Health insurance
- Internet reimbursement
- Leave encashment
- Provident Fund

Work Location: In person

📌 AI/ML Data Annotation Associate (Bengaluru)
🏢 Shyena Solutions Private
📍 Bengaluru