AI Tutor

Summary

Join xAI and contribute to our mission of creating AI systems that understand the universe and aid humanity. As an AI Tutor specializing in Portuguese, you will generate high-quality, accurately labeled data in Portuguese to improve our models. This remote, full-time, temporary position (up to 6 months) involves utilizing proprietary software, collaborating on annotation tool design, and participating in writing projects. You will work closely with our technical team to produce datasets for model training and benchmarking. The role requires native Portuguese proficiency and excellent communication skills. Compensation ranges from $35/hour to $65/hour, with benefits including medical, vision, dental, STD, LTD, and life insurance for full-time employees.

Requirements

• Native proficiency in Portuguese
• Excellent command of the Portuguese language, both in spoken and written form, across informal and professional contexts
• Strong research skills, and the ability to navigate various sources of information, databases, and online resources in Portuguese are essential
• Exceptional communication, interpersonal, analytical, and organizational skills
• Expert level of reading comprehension in Portuguese and the ability to make informed judgments with limited data

Responsibilities

• Utilize proprietary software to input and label data for designated projects entirely in Portuguese
• Ensure the delivery of top-tier curated data with an emphasis on Portuguese language nuances
• Collaborate on the design of annotation tools, enhancing efficiency for Portuguese-specific data handling
• Participate in various writing projects to enhance our generative AI models, with focus on Portuguese data

Preferred Qualifications

• Background in technical writing, journalism, or professional writing with a focus on Portuguese content
• A strong passion for and commitment to technological advancements and innovation

Benefits

• Medical, vision, dental, STD, LTD and life insurance
• This is a fully remote position
• Team members are expected to work from 9:00 am - 5:30 pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter