Data Annotator

Key Responsibilities:
Data Labeling: Accurately label and categorize data according to guidelines and specifications.
Quality Control: Ensure the highest quality of annotated data by performing regular reviews and corrections.
Collaborate: Work closely with data scientists and engineers to provide feedback and improve annotation guidelines.
Maintain Records: Keep detailed records of annotations and any issues encountered during the process.
Adhere to Deadlines: Complete annotation tasks within set deadlines while maintaining high accuracy.

Qualifications:
Experience: 6 months to 2 years of experience in data annotation or a similar role.
Attention to Detail: Exceptional attention to detail and accuracy in data labeling.
Technical Skills: Familiarity with data annotation tools and software. Basic understanding of machine learning and AI concepts is a plus.
Communication Skills: Strong written and verbal communication skills.
Team Player: Ability to work effectively in a team and collaborate with colleagues.
Problem-Solving: Strong analytical and problem-solving abilities.

Preferred Qualifications:
Experience with annotation tools such as [e.g., Labelbox, RectLabel, Google Docs, MS Excel etc.].
Knowledge of programming languages like Python is a plus.
Previous experience working on projects involving AI and machine learning.