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- Tasks: Design studies and evaluate how AI impacts learning and cognitive development.
- Company: Leading tech firm focused on innovative AI research.
- Benefits: Competitive salary, equity options, flexible PTO, and comprehensive health benefits.
- Other info: Hybrid work environment with strong support for professional growth.
- Why this job: Make a real difference in understanding AI's role in enhancing human capabilities.
- Qualifications: Experience in research design and evaluation methods.
Location: London, UK; New York City
Employment Type: Full time
Location Type: Hybrid
Department: Go To Market
Compensation: Estimated Base Salary $239K – $269K • Offers Equity
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
More details about our benefits are available to candidates during the hiring process.
This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
About the Role: As a Research Scientist focused on Learning & Cognitive Outcomes, you will help build the scientific and evaluation infrastructure needed to understand how AI systems affect learning, cognition, and capability development over time.
We are looking for someone who can design rigorous studies, develop scalable evaluation methods, and help answer a central question: do AI systems help people become more capable over time? This means going beyond engagement, satisfaction, or task completion to measure whether users develop better reasoning, stronger metacognition, greater autonomy, deeper understanding, improved.
Research Scientist, Learning & Cognitive Outcomes in London employer: Slope
Contact Detail:
Slope Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist, Learning & Cognitive Outcomes in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and the role thoroughly. We want you to be able to discuss how your skills align with their needs, especially in areas like learning and cognitive outcomes.
✨Tip Number 3
Showcase your passion! When you get the chance to chat with potential employers, let your enthusiasm for AI and its impact on learning shine through. We love seeing candidates who are genuinely excited about the work they’ll be doing.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’ve got loads of resources to help you along the way!
We think you need these skills to ace Research Scientist, Learning & Cognitive Outcomes in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Scientist role. Highlight relevant experience in learning and cognitive outcomes, and don’t forget to showcase any research projects that align with our mission at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and its impact on learning. Share specific examples of your work that demonstrate your skills and how they relate to the role.
Showcase Your Research Skills: Since this role involves designing studies and developing evaluation methods, be sure to highlight your research skills. Mention any methodologies you’ve used and how they’ve contributed to understanding cognitive outcomes.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll find all the details you need to submit your application smoothly!
How to prepare for a job interview at Slope
✨Know Your Research
Dive deep into the latest studies and findings related to learning and cognitive outcomes. Familiarise yourself with how AI impacts these areas, as this will not only show your passion but also your expertise during the interview.
✨Prepare Rigorous Examples
Be ready to discuss specific projects where you designed studies or developed evaluation methods. Use the STAR method (Situation, Task, Action, Result) to clearly articulate your contributions and the impact of your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and its implications for learning. This demonstrates your genuine interest in the role and helps you assess if the company aligns with your values and goals.
✨Showcase Your Collaboration Skills
Highlight experiences where you've worked with cross-functional teams. Emphasise your ability to communicate complex ideas clearly, as collaboration is key in a hybrid environment like this one.