AI Research Intern: Shape Frontier Models & Datasets

AfterQuery

San Francisco (CA)

On-site

USD 34,000 - 83,000

Part time

14 days+

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Benefits offered by this job

Health Insurance
401(k) match
Daily UberEats stipend
Monthly wellness stipend
Commuting covered

Job summary

AfterQuery in San Francisco, CA is offering an AI/ML Research Internship for undergraduates and master's students. You will work directly with our research team on cutting-edge AI projects focused on advanced reasoning, data-centric methods, and agentic models.

This is a hands-on role with access to specialized datasets and the potential to co-author papers. You'll contribute to experiments, data processing, and documentation, while engaging in discussions with researchers and mentors.

Qualifications

  • Experience in AI, ML, or related research projects.
  • Familiarity with large language models and reinforcement learning.
  • Knowledge of NLP or multi-modal systems.
  • Previous research experience or publications.
  • Strong communication skills; able to explain complex concepts.
  • Experience with data visualization and analysis tools.

Responsibilities

  • Support research scientists in designing and running experiments.
  • Collect, process, and analyze proprietary datasets.
  • Help develop and test new algorithms for advanced reasoning and agents.
  • Contribute to research documentation and findings.
  • Participate in research discussions and present findings.
  • Collaborate on interdisciplinary projects with interns and researchers.

Skills

AI/ML research
Language models
NLP / multi-modal
Publications
Communication
Data visualization

Education

Pursuing undergraduate or masters degree

Job description

AfterQuery in San Francisco, CA is offering an AI/ML Research Internship for undergraduates and master's students. You will work directly with our research team on cutting-edge AI projects focused on advanced reasoning, data-centric methods, and agentic models.

This is a hands-on role with access to specialized datasets and the potential to co-author papers. You'll contribute to experiments, data processing, and documentation, while engaging in discussions with researchers and mentors.

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