
Software Engineering Specialist
5 days ago
About the Role
The Software Engineering Specialist - Human Data 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.
- 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.
- 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
- Demonstrates a strong capacity to quickly adapt by learning new skills and unlearning outdated ones, thriving in dynamic and changing environments.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.
- 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.
- You must own and have reliable access to a smartphone.
- 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 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.
- 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, specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable federal, state, and local laws, including the San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For Los Angeles County (unincorporated) Candidates:
xAI reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of a conditional offer of employment:
- Access to information technology systems and confidential information, including proprietary and trade secret information, and/or user data;
- Interacting with internal and/or external clients and colleagues; and
- Exercising sound judgment.
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