At a Glance
- Tasks: Create cutting-edge data for training large language models and collaborate with technical teams.
- Company: Join xAI, a mission-driven company focused on creating AI systems that aid humanity's pursuit of knowledge.
- Benefits: Enjoy a fully remote role with competitive pay ranging from $55 to $65 per hour.
- Why this job: Be part of a small, motivated team that values curiosity and engineering excellence.
- Qualifications: Advanced English skills and strong experience in Python or JavaScript required; 2 years of industry experience preferred.
- Other info: Flexible full-time or part-time options available; must have reliable access to a smartphone.
The predicted salary is between 42000 - 84000 ÂŁ per year.
Software Engineering Specialist – Human Data
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Software Engineering Specialist – Human Data
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Join to apply for the Software Engineering Specialist – Human Data role at xAI
About xAI
xAI\’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company\’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Role
As a Software Engineering Specialist on the Human Data team, you will be responsible for creating cutting-edge data to facilitate the training of large language models. Collaborating closely with technical staff, you will contribute to datasets for model training, benchmarking, and overall advancement.
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.
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
- 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.
- 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 (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, 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.
xAI is an equal opportunity employer and does not unlawfully discriminate based on race, color, religion, ethnicity, ancestry, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, disability, medical conditions, genetic information, marital status, military or veteran status, or any other applicable legally protected characteristics.
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.
California Consumer Privacy Act (CCPA) Notice
Seniority level
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Seniority level
Not Applicable
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Technology, Information and Internet
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Software Engineering Specialist - Human Data employer: xAI
Contact Detail:
xAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Specialist - Human Data
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially how they relate to human data. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the community on platforms like GitHub or Stack Overflow. Contributing to open source projects or answering questions can showcase your skills and commitment, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your past projects in detail, particularly those that involved Python or JavaScript. Be ready to explain your thought process, challenges faced, and how you overcame them, as this reflects your problem-solving abilities.
✨Tip Number 4
Network with current employees or alumni from xAI if possible. They can provide insights into the company culture and expectations, which can be invaluable when tailoring your approach during the application process.
We think you need these skills to ace Software Engineering Specialist - Human Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python or JavaScript, as well as any relevant projects or contributions to open source. Emphasise your hands-on industry experience and any specific tools or systems you've worked with.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for AI and how your skills align with the mission of xAI. Mention your adaptability and problem-solving abilities, and provide examples of how you've thrived in fast-paced environments.
Showcase Your Communication Skills: Since strong communication is key for this role, consider including a section in your application that demonstrates your ability to share knowledge effectively. This could be through links to articles, presentations, or even your GitHub contributions.
Highlight Relevant Qualifications: Clearly outline your qualifications that match the job description, such as your understanding of computer science fundamentals and any experience with databases, SQL, or cloud services like AWS. Be specific about your programming skills and any relevant certifications.
How to prepare for a job interview at xAI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and JavaScript, as well as any other programming languages you know. Bring examples of your work, such as GitHub repositories or projects that demonstrate your coding abilities and problem-solving skills.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining complex technical concepts in simple terms. This will help you convey your ideas effectively during the interview and show that you can collaborate well with cross-functional teams.
✨Demonstrate Your Curiosity
xAI values individuals who thrive on curiosity. Be ready to discuss how you've tackled challenges in the past and what you've learned from them. Show enthusiasm for AI and data-driven solutions, and express your eagerness to contribute to innovative projects.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your understanding of computer science fundamentals, algorithms, and debugging. Practice coding problems and be ready to explain your thought process as you work through them, demonstrating your logical reasoning skills.