Description
Job Summary
pJoin the front line of artificial general intelligence as a Data Engineer at ReasonCore AI. You will design, author and review reasoning content for frontier AI labs, contributing to cutting-edge projects that push the boundaries of AI innovation.
Responsibilities
- Author original reasoning problems and reference solutions calibrated to lab-defined difficulty bands.
- Review and rate model responses on rubric criteria; identify failure modes and edge cases.
- Contribute to private benchmarks and Eval-as-a-Service datasets shipped to frontier labs.
- Document your work clearly for long-term training and evaluation of models.
Required Skills
- Advanced problem-solving skills
- Strong written communication in English
- Independence and time management capabilities
- Curiosity about AI learning processes
- Experience with structured documentation
Required Skills Explained
- Strong English written communication skills, ensuring clarity and precision.
- A deep understanding of at least one reasoning vertical: spatial reasoning, scientific fields, financial analysis, or coding challenges.
- The ability to work independently and meet deadlines in a remote environment.
- Curiosity about how AI models learn, coupled with the desire to develop intuitions on LLMs (Large Language Models).
Who is this for
pCandidates should be currently enrolled or recently graduated students in one of the four reasoning verticals: spatial reasoning, scientific, financial, or coding. Strong communication and independent working skills are essential.
Why This Job is a Good Opportunity
ulliOpportunity to contribute to cutting-edge AI research and development in diverse domains like science, finance, coding, or spatial reasoning.liFully remote work with flexible hours, allowing for a good work-life balance.liPotential to engage in impactful projects that push the boundaries of AI innovation.liChance to collaborate with a global network of experts and contribute to private benchmarks and datasets used by leading AI labs.
Interview Preparation Tips
- Prepare examples of your writing skills, especially in the domain you are applying for.
- Discuss how you have worked independently or met deadlines in previous roles.
- Explain why you are curious about LLMs and AI learning processes.
- Be ready to talk about any teaching, tutoring, or exam-writing experience you might have.
Career Growth in This Role
pThe role offers a clear path for growth within the field of artificial general intelligence. As you become more experienced, you can take on leadership roles in content creation and review. There is also potential to transition into more advanced AI research or teaching roles as your expertise deepens. ReasonCore AI values creativity and adaptability, so opportunities for professional development are likely to be numerous.
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Skills
Frequently Asked Questions
What are the verticals I can apply to?You can apply in one of the four reasoning verticals: spatial reasoning (3D/4D scenes, AV perception, robotics), scientific (physics, chemistry, biology, materials science), financial (markets, statements, quantitative tasks, risk modeling), and coding (multi-step software engineering, tool use, debugging).
Do I need prior experience in AI or machine learning?No ML experience is required. However, curiosity about how frontier AI models learn is essential.
What kind of compensation can I expect?We offer competitive compensation depending on your qualifications, with a starting salary of 4 LPA.
