Re/Rs, Data Understanding - Foundations
openai
Híbrido
Zurich, Switzerland
Data
Job Score
90 pts
Hybrid model (+80)
Data (+10)
About The Team
The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs.
About The Role
We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines
We Expect You To
Have a strong track record of new or improved ML ideas, through publications, projects, or applied research.
Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact.
Be excited by OpenAI’s empirical, collaborative approach to research.
Nice To Have
Thoughtfulness about AI’s impact, including privacy, provenance, and data quality.
Experience building high-performance deep learning or large-scale data processing systems.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
What did you think of this job?
Loading comments...
About Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Software Development
Software Development is one of the most dynamic and constantly evolving fields in the job market. Professionals in this area are responsible for creating, maintaining, and optimizing web, mobile, and desktop applications that impact millions of users daily.
Key languages and frameworks include JavaScript (React, Node.js, Vue.js), Python (Django, Flask), Java (Spring), PHP (Laravel), and TypeScript. Demand for full-stack developers continues to grow, especially in tech companies and startups.
Salaries range from entry-level to senior positions, with growing opportunities for remote work and international freelancing.
About Agile
The Agile and Digital Transformation area is fundamental for organizations seeking efficiency and rapid adaptation. Agile professionals facilitate processes, eliminate bottlenecks, and promote a culture of continuous improvement.
Key certifications include CSM, PSM, SAFe, ICP, and Kanban. Knowledge of Scrum, Kanban, XP, and agile frameworks is essential, as are leadership and facilitation soft skills.
Senior Agile coaches and Scrum Masters are highly valued, especially in technology companies that adopt agile methodologies at scale.
About Business Analysis
The Business Analyst (BA) is the professional responsible for identifying problems, opportunities, and solutions in organizational processes, acting as a bridge between business areas and the technology development team. They gather and specify requirements, map value streams, design future processes, and help ensure that software deliveries align with the company's strategic goals.
About Fullstack
Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.
Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.
Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.
About Technical Support
Technical Support is essential to ensure customer satisfaction and retention. Support professionals resolve technical issues, document solutions, and identify patterns that can lead to product improvements.
Key skills include troubleshooting, customer service, technical documentation, ITIL knowledge, and ticketing tools (Zendesk, Freshdesk, Intercom).
Technical support has evolved from a reactive to a proactive function, with high-level professionals working in Customer Engineering and Support Engineering.
Comments 0