Posted:2 weeks ago|
Platform:
Hybrid
Full Time
Youll help teach machines how to learn from humansthrough data, patterns, and behavior. Youll work with Python, explore how models make decisions, and help train AI to better understand intent. If you're curious about how people and machines interact, and how intelligence can feel intuitive, this role is for you.
**You'll be working shoulder-to-shoulder with Ostensibles core team architects of ambient clarity, systems empathy, and human-led design. This isn't a siloed role; it's a front-row seat to paradigm-shifting work. Youll contribute directly to the foundational layers of our OS and AI stack, shaping how machines interpret human nuance. And if the timing, chemistry, and clarity align, Ostensible may invite you to become part of the core, because we don’t just hire talent, we cultivate visionaries. **
- Basic proficiency in **HTML, CSS, and JavaScript** (or equivalent front-end stack)
- Familiarity with **version control systems** like Git/GitHub
- Comfort using **low-code/no-code platforms** (e.g., Bubble, Web flow, Framer) or willingness to learn
- Experience with **API integration** and basic RESTful concepts
- Understanding of **responsive design** and accessibility principles
- [ ] **Submit a verifiable psychometric assessment**
Preferably from ezsixty.com - use job/referral code: `AIMLNCR` (OR)
Admissible: Any reputable, third-party test with shareable results (e.g., Traitify, Hogan, 16Personalities Pro).
- [ ] **Complete and update your LinkedIn profile**
Include recent roles, skills, and any clarity-driven projects or publications.
- [ ] **Specify your preferred job location (optional)**
Remote, hybrid, or city-based—Ostensible values intentional presence.
- [ ] **Provide a portfolio or work sample (optional)**
This could be a GitHub repo, design prototype, writing sample, or even a lo-fi concept sketch. Show us how you think.
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