xAI’s mission is to develop advanced AI systems that are truthful, competent, and maximally beneficial for all of humanity. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
As an AI Coding Tutor, you will be responsible for generating consistently high-quality and accurately labeled data through various methods to facilitate the training of large language models. Collaborating closely with the technical staff, you will create datasets for model training, benchmarking, and overall advancement. You will play a crucial role in the improvement of our products and services by ensuring high-quality and accurately labeled data.
The AI Coding Tutor role is a full-time remote position. Part-time may be offered on a case-by-case basis but full-time is strongly preferred (please see the bottom of this job description for more details).
Responsibilities:
- AI model training initiatives by curating code examples, offering precise solutions, and meticulous corrections in Python, JavaScript (including ReactJS), C/C++, and Java.
- Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.
Key Qualifications:
- Advanced proficiency in English, both verbal and written.
- Strong experience in either Python or JavaScript, with a solid foundation in software development practices. Please note that for those with experience in only JavaScript, experience with ReactJS is preferred but not required. Knowledge of other languages is a strong plus.Strong grasp of computer science fundamentals like data structures, algorithms, and debugging skills.
- A minimum of 2 years of hands-on industry experience with a proven track record in software development and/or public proof of work (such as on GitHub).
- Extensive experience with a wide array of tools and systems such as Databases, SQL, Kubernetes, Spark, Kafka, gRPC, and AWS.
Preferred Qualifications:
- The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment.
- Evidence of meaningful contributions to open source projects or high reputation on platforms like Stack Overflow or evidence of strong performance in programming competitions.
- Enthusiasm to collaboratively build the best truth-seeking AI out there!
Additional Requirements
- Available to work evenings and weekends, as the schedule varies depending on team operational needs; flexibility is required.
- Demonstrates a strong capacity to quickly adapt by learning new skills and unlearning outdated ones, thriving in dynamic and changing environments.
- For those who will be working from a personal device, please note your computer must be capable of running Windows 10 or macOS BigSur 11.0 or later.
Location, Hourly, and Other Expectations:
- This position is fully remote.
- We are unable to provide visa sponsorship.
- If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.
- Please indicate your interest in either full-time, part-time, or either in the application. Note that:
- Full-Time (40 hours per week): Full-time schedules are 9-5:30pm in your local time zone. The first week will be 9-5:30pm PST for onboarding.
- Part-Time (20-29 hours per week): While hours are flexible around your schedule, you must be committed to working at least 20 hours per week (with at least 10 of these hours worked on weekdays) and no more than 29 hours per week.
Compensation and Benefits:
- The pay for this role may range from $55/hour - $65/hour.
- Your actual pay will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
- For full-time roles, benefits will include medical insurance and specific benefits vary by country. We do not offer benefits for part-time roles.