Software Engineer, Human Data

As a Software Engineer specializing in Human Data at OpenAI, your primary responsibilities will include building and optimizing data pipelines for human-generated data, developing tools for scalable data collection, and collaborating with research teams to ensure data improves model alignment. You'll be innovating on evaluation techniques to enhance AI capabilities and contributing to influential products like ChatGPT and Sora.

To be considered for the Software Engineer, Human Data position at OpenAI, you should have a BS, MS, or PhD in Computer Science or a related field, along with at least 3 years of industry experience in software development. Familiarity with ambiguous environments and a passion for new technologies are also important.

The Software Engineer in Human Data at OpenAI directly influences AI products like ChatGPT by ensuring that high-quality human data is used for training. This role contributes to improving model capabilities and reducing harmful outputs, which significantly enhances user experiences.

The work environment for a Software Engineer in Human Data at OpenAI is collaborative and innovative. With a hybrid work model, employees work three days in the office, which fosters team interactions while allowing flexibility. The team is dedicated to pushing boundaries and values diverse perspectives.

Key skills for success as a Software Engineer, Human Data at OpenAI include strong software development experience, the ability to navigate cross-functional teams seamlessly, and excellent communication skills. Adaptability and a willingness to experiment with new technologies are also crucial.

In answering this question, highlight specific examples of data pipelines you have built or optimized. Focus on the tools and technologies you used, the challenges you faced, and how you ensured data quality and efficiency.

Discuss your experience collaborating with team members from different functions. Emphasize your communication skills and any strategies you’ve employed to foster collaboration and resolve conflicts, showcasing your ability to adapt in diverse environments.

Outline your approach to maintaining high data quality. You might mention automated testing, peer reviews, and validation techniques, and emphasize how these methods contribute to enhancing model training and evaluation.

Share examples of how you've assessed model performance, including specific metrics and feedback processes. Explain how human feedback or synthetic data can play a role in improving AI model capabilities.

Talk about OpenAI's mission to ensure AI benefits all of humanity and how that aligns with your personal values. Mention your passion for AI technology and your desire to contribute to meaningful advancements in the field.

Provide an instance where you had to pivot quickly due to changing project demands. Discuss the strategies you used to manage your time effectively while shifting focus to new priorities.

Discuss the resources you use to keep up with the latest developments in AI, such as research publications, online courses, or industry conferences. This demonstrates your commitment to continuous learning and innovation.

List the programming languages you excel in, particularly those relevant to the Software Engineer role at OpenAI. Be specific about projects you've undertaken using these languages.

In answering this, outline the project, the challenges you encountered, and how you overcame them. Highlight your problem-solving skills and any lessons you learned during this experience.

Explain your openness to receiving feedback and how you view it as an opportunity for growth. You may also mention specific experiences where feedback led to improvements in your work.