Job Overview: We are looking for a detail-oriented and tech-savvy Data Annotation Specialist to label and annotate data for machine learning models. The ideal candidate will be responsible for reviewing and tagging various types of data, such as images, videos, text, and audio, ensuring accuracy and consistency in annotations to enhance the performance of AI algorithms. Key Responsibilities:
Annotate and label images, videos, audio, and text according to specific project requirements.
Ensure high-quality, accurate, and consistent data labeling in accordance with guidelines.
Review and correct annotations done by automated tools or other annotators.
Collaborate with machine learning engineers and data scientists to clarify labeling needs.
Follow strict protocols for handling sensitive data and ensuring data privacy.
Work with a variety of tools and platforms designed for data annotation.
Provide feedback on annotation guidelines and suggest improvements when necessary.
Meet project deadlines and maintain a productive workflow.
Qualifications:
High school diploma or equivalent (bachelor’s degree preferred in Computer Science, Linguistics, or related field).
Experience in data annotation or a similar role is a plus.
Familiarity with machine learning and artificial intelligence concepts is an advantage.
Basic understanding of labeling software and tools (e.g., Labelbox, CVAT, or in-house tools).
Strong attention to detail and ability to follow specific guidelines and instructions.
Ability to work independently and manage time efficiently.
Good communication skills to report issues or provide feedback on guidelines.
Proficiency in the English language; additional languages can be a plus depending on the dataset.
Basic technical knowledge of data types like images, audio, or text.
Preferred Skills:
Previous experience with large-scale data annotation projects.
Ability to work with various data formats (e.g., image files, JSON, text files).
Experience with different AI domains such as computer vision, NLP, or speech recognition.
Ability to adapt to rapidly changing guidelines or workflows.
Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Schedule: