You will work closely with our team of data annotation experts to ensure high-quality and accurately labeled data for machine learning and AI training purposes. This entry-level position is ideal for individuals who are passionate about technology, data, and the applications of artificial intelligence.

Key Responsibilities:

Data Annotation:
Learn and apply annotation techniques to label various types of data, including text, images, and videos.
Follow annotation guidelines and project-specific instructions with a high degree of accuracy.

Quality Control:

Assist in quality control processes to ensure that annotated data meets project requirements and quality standards.
Identify and report any inconsistencies or issues in the labeled data.
Collaboration:
Work closely with team members and project managers to ensure effective communication and collaboration on annotation tasks.
Seek feedback and guidance to improve annotation skills.

Documentation:

Maintain detailed documentation of annotation processes and activities.
Contribute to the development of annotation guidelines and best practices.

Technology Utilization:

Utilize annotation software and tools to perform labeling tasks efficiently.
Learn to use specialized software and platforms for data annotation.

Professional Development:

Stay up-to-date with industry trends and best practices related to data annotation and machine learning.
Participate in training and skill development programs as needed.


Qualifications:



Bachelor's degree in a relevant field (computer science, engineering, data science, etc.) or equivalent experience.
Strong attention to detail and the ability to maintain a high level of accuracy.
Basic knowledge of machine learning and artificial intelligence concepts is a plus.
Eagerness to learn and adapt to new tools and technologies.
Good communication and teamwork skills.
Highly organized with the ability to manage multiple tasks effectively.

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[ Article by: seed it solution ]