AI Research Scientist. The role, the market signal, and how to build it in your org.
Develops and tests ideas for model architectures, training methods and evaluation. Designs experiments, compares results and records findings for research and engineering teams to assess.
In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.
Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.
189 postings · 135 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
2,633 tasks extracted from real AI Research Scientist job descriptions, classified Automate / Augment / Human-only. In this source classification, 1% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- Process and manage datasets.
- Label data for model training.
- Prepare data for model training and evaluation.
- Build ai foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
- Build large deep learning models for language, images, events, or graphs.
- Build ai foundation models through design, training, evaluation, validation, and implementation phases.
- Deliver libraries, platform-level code, or solution-level code to existing products.
- Conduct applied research to advance the latest ai developments into customer experiences.
- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver ai-powered products that change how customers interact with their money.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
- Engage in high impact applied research to take the latest ai developments and push them into the next generation of customer experiences.
- Develop talent within the team and beyond.
- Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver ai-powered products.
From the market's version of this role to your version of it
Start with the work, not the org chart.
Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.