Elon Musk's xAI offers Rs 5,000 per hour for this job role

Elon Musk’s AI company xAI is looking to hire people for the role of AI tutor. The xAI has listed multiple job opening for the role last week and it is willing to pay Rs 5,000 per hour for the role. The job postings are live on Linkedin.

What the job listing reads

“As an AI Tutor, you will be responsible for generating consistently high-quality and accurately labeled data through various methods to facilitate the training of natural language processing algorithms. Collaborating closely with the technical staff, you will create datasets for model training, benchmarking, and overall advancement," one posting reads.

“You will play a crucial role in the improvement of our products and services by ensuring high-quality and accurately labeled data,” it states.

As mentioned on the Linkedin job listing, the AI Tutor role is a remote, full-time, temporary position that will last up to 6 months in duration. Responsibilities will include:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Engage in diverse writing assignments to refine generative AI models.

Key qualifications required for the role

As listed by the company, a candidate must have

• Proficiency in reading and writing, both in informal and professional English.
• Strong research skills, and the ability to navigate various information resources, databases, and online resources are essential.
• You display outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.