Location: Chennai, India
Duration: 3-6 months, Open to hire for full time based on performance
About Us:
Smartan Fit is a pioneering fitness technology company that integrates cutting-edge AI solutions to revolutionize gym management and personalized fitness experiences. We are committed to creating innovative tools that empower gym owners, trainers, and members to achieve their fitness goals seamlessly.
Join us as we shape the future of fitness technology!
Role Overview:
We are seeking a detail-oriented and motivated Computer Vision Data Annotation Intern to join our team. The selected candidate will play a critical role in preparing high-quality labeled datasets for training and evaluating our AI models. This internship is an excellent opportunity to gain hands-on experience in the fields of computer vision and artificial intelligence within a dynamic and innovative environment.
Responsibilities:
- Annotate, label, and categorize images and videos for training computer vision models.
- Review and validate annotations to ensure accuracy and consistency across datasets.
- Collaborate with the AI/ML team to define annotation guidelines and workflows.
- Perform quality control checks on datasets to identify and correct errors.
- Provide feedback to improve annotation tools and processes.
- Manage and organize large datasets, ensuring data security and confidentiality.
- Stay updated on advancements in computer vision and data annotation techniques.
Requirements:
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
- Strong attention to detail with excellent analytical skills.
- Basic understanding of computer vision and machine learning concepts.
- Proficiency in using annotation tools (e.g., RoboFlow, CVAT, or others).
- Familiarity with Python and libraries like OpenCV is a plus.
- Ability to work independently and meet deadlines.
- Strong communication skills and a collaborative attitude.
Preferred Qualifications:
- Previous experience with data annotation for computer vision projects.
- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
- Understanding of fitness equipment or biomechanics (a bonus for fitness enthusiasts!).
What We Offer:
- Hands-on experience with real-world AI projects in the fitness tech industry.
- Mentorship from experienced professionals in AI and computer vision.
- Opportunity to contribute to cutting-edge products and solutions.
- A supportive team culture.
- A steppingstone to a career in artificial intelligence and computer vision.
How to Apply:
Submit your resume highlighting your interest in the role and relevant experience to [email protected]. Applications will be reviewed on a rolling basis.