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Build neuro-symbolic-relational reasoners to align LLMs with enterprise data
RelationalAI is developing technology to teach large language models the logic, semantics, and business context of modern enterprises using private, structured data. The work involves combining relational knowledge graphs with proprietary neuro/symbolic-relational reasoners to deliver trustworthy decision intelligence. As part of a globally distributed team, you will help build systems that use semantic models to understand business operations...
Why This Role?
Help redefine how AI learns from data on a globally distributed team of engineers and scientists
Key Responsibilities
- Develop neuro/symbolic-relational reasoners for large language models
- Integrate relational knowledge graphs with LLM alignment technologies
- Build systems that use semantic models to understand business operations
- Reason across enterprise data to drive better decision outcomes
- Advance Superalignment technology for private, structured data learning
- Collaborate in a globally distributed team to redefine AI learning from data
Requirements
- Experience with large language models and AI alignment
- Background in relational knowledge graphs or graph-based reasoning
- Expertise in neuro-symbolic AI or hybrid reasoning systems
- Proficiency in building systems that reason over structured enterprise data
- Ability to work effectively in a globally distributed, remote team
- Drive to solve high-stakes decision intelligence problems with explainable AI
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from Jobicy
Original description from Jobicy
Who We Are At RelationalAI, we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise. Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We… Who We Are At RelationalAI , we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise. Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that. RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud. By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners , we deliver trustworthy decision intelligence : systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes. We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality. If you’re driven by curiosity, thrive in complexity, and want to help b
Salary Context
Similar AI roles on LokerDollar pay around $146.5k/yr (range $12k–370k/yr, n=44 active listings).
Openness not stated by employer — check the listing
Frequently asked questions
- Is Don’t see what you’re looking for? at RelationalAI a remote job?
- Yes. Don’t see what you’re looking for? at RelationalAI is a fully remote role open to candidates worldwide.
- What type of employment is Don’t see what you’re looking for? at RelationalAI?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at RelationalAI.
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