Do you like the idea of a brand new team where you have the opportunity to influence your future way of working? Are you attracted to the idea of a virtual assistant which is more than just a wrapper on top of somebody else’s large language model technology? We are building a team to develop and deliver Red Hat’s own flavor of large language model to power our product-supporting virtual assistants, and we’re looking for people like you.

Be prepared to work in a highly distributed environment which is somewhat unshaped and very fast paced, adding a bit of startup freshness and agility to our corporate stability. This is a dual role: while wearing a Data Analyst hat, you’ll elevate the fine-tuning and evaluation of our large language models (LLM), and oversee all facets of human data management, ensuring seamless operations and high-quality, diverse, and scalable data collection.  At other times, wearing an AI Scientist hat, you’ll use your expertise with generative AI to fine tune and evaluate large language models using Red Hat’s unique knowledge and expertise.

You will be part of a broader ecosystem which gives Red Hat customers and the open source community the ability to be self-sufficient in deploying and operating virtual assistants for Red Hat products. For this, we need highly collaborative and self-driven individuals who seek to have broad impact.

What you will do

• Lead and coordinate LLM data collection and labeling projects..
• Collaborate with the data science team to maintain and enhance the human feedback annotation tools.
• Establish and manage operational processes for human data management.
• Drive execution of human data initiatives, including drafting labeling guidelines, reviewing data, and optimizing for quality, diversity, and volume—while improving tooling and processes for greater efficiency.
• Deliver clear evaluation reporting through dashboards and data  analysis.
• Create and maintain a broad network of people with whom you partner with to achieve your objectives.
• Modify pre-trained large language models to make their responses fit for the intended purpose. Design, run, and analyze scientific experiments to constantly improve our fine tuning results.
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

What you will bring

• Excellent English written and verbal communication skills.
• Experience with Generative AI. Possess a solid understanding of how LLMs function, including principles of prompt engineering.
• Experience with distributed version control systems such as Git.
• Excel at managing projects and building strong relationships across internal teams and external partners using both written and verbal communication.
• Experience with Python development, AI, and Machine Learning platforms, tools, and frameworks, such as: Tensorflow, PyTorch, LLaMA.cpp, and Kubeflow.
• Experience with data labeling, collection and analytical workflows is a plus
• Understanding of Generative AI’s elementary concepts, such as prompt tuning, prompt engineering, RAG, tokenization, and chunking is a big plus
• Experience with languages and tools, such as Python and SQL, for data manipulation and analysis is an advantage

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

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