Join our innovative team as a Data Annotator specializing in STEM fields. In this remote position, you will play a crucial role in enhancing artificial intelligence by annotating and curating extensive datasets. Your primary responsibility will involve accurately labeling various types of data, including text and images, to ensure that AI models are trained effectively. You will also generate educational content, such as multiple-choice questions, which are essential for developing high-quality AI systems. This position is an excellent opportunity for individuals with a strong background in STEM to contribute to groundbreaking advancements in AI technology while enjoying the flexibility of remote work. You will work independently and manage your tasks to meet project goals, making a significant impact in the evolving landscape of machine learning.
IT Languages:
Python
R
Java
As a Data Annotator, you will engage in a variety of tasks that contribute to the quality and effectiveness of AI models.:
Perform multimodal data annotation by accurately labeling and tagging images and text according to established guidelines.;; Generate clear and high-quality multiple-choice questions for educational or AI training purposes.;; Conduct quality assurance by reviewing and verifying annotations to ensure consistency and accuracy across datasets.
Spoken Languages:
English;; German;; French
Skillset:
Data annotation tools
Spreadsheet proficiency
Basic software applications
Soft Skills:
Self-motivation
Time management
Attention to detail
Qualifications:
Degree in Math, Physics, Chemistry, Engineering, Biology, Music, or Medicine
Attention to detail and precision in data labeling
Proficiency in English for effective communication
Years of Experience:
3
Location:
United States
Job Benefits:
Competitive pay structure
Flexible working hours
Opportunity to contribute to cutting-edge AI technologies
Working Conditions:
Remote
Employment Type:
Temporary Contract
Company Culture:
We foster a culture of innovation and collaboration, where every team member has the opportunity to make a meaningful impact on the development of AI technologies.
Opportunities For Advancement:
Potential for long-term projects, Growth in AI and machine learning fields, Collaboration with world-class research teams