Uiux Designer Ml Applications

Company Intelligence

PlantIn is a mobile app company specializing in plant identification, care, and botany education, with features like AI-powered plant scanning, watering calculators, offline fungus identification, and care plans for users' "green pets." It positions itself in the consumer tech and agritech space, focusing on making botany accessible via iOS and Android apps (e.g., rated 4.5/5 on App Store with features for edible/poisonous mushroom detection). No detailed history, size, or growth data is available from sources; it appears to be a smaller, app-focused startup without public records of funding rounds or employee count. Recent updates include predictive plant search in version 5.42.0, indicating ongoing product iteration. The role's remote Colombia location suggests operations or targeting in Latin America, but no specifics on culture, values, mission, office locations, or hybrid policies are documented. Contact via support@plantin.xyz for inquiries.

Program Deep Dive

Limited details available on this specific **UI/UX Designer

• ML Applications** internship/graduate program at PlantIn. The role targets junior talent for designing user interfaces/experiences in machine learning-driven features, likely tied to the app's AI plant identification and care tools. Expected skills: UI/UX design principles (e.g., Figma, Adobe XD), ML app integration (e.g., understanding AI outputs for visual design), mobile-first design for iOS/Android. Daily responsibilities may include prototyping ML-enhanced features like plant scanners or care dashboards, user testing, and iterating based on app feedback. No confirmed program structure, timeline, mentorship, training, or post-program career paths; assume entry-level remote role with hands-on learning in a fast-paced app environment.

Application Success Guide

Apply via the provided URL: https://www.remoterocketship.com/jobs/junior-ux-designer/

• a job aggregator posting the remote Colombia-based role.[User Query] Requirements: Likely portfolio of UI/UX work (focus on mobile/ML apps), basic proficiency in design tools; no deadlines specified
• apply ASAP as remote junior roles fill quickly. Process:

1. Submit resume, portfolio link, and cover letter via the form.
2. Expect 1-2 technical interviews (portfolio review, design task).
3. Final with team lead. Common questions: "Walk us through your portfolio piece for an AI feature," "How would you design a plant ID interface for low-connectivity users?" (tailored to app's offline mode). No data on assessments or case studies; prepare a 30-60 min ML UX case (e.g., redesigning app's watering calculator UI). Standout candidates showcase mobile portfolios with AI/ML elements (e.g., intuitive data viz for plant health), user research from real apps, and passion for plants/botany via personal projects.

Insider Tips

• PlantIn values: Demonstrate botany/app enthusiasm
• reference app features like fungus ID or care plans to show you've used it. Prioritize soft skills (user empathy, iteration speed) over deep tech; basic ML UX knowledge (e.g., handling AI predictions visually) edges out pure design.
• Industry knowledge: Know mobile agritech trends (AI plant apps like PictureThis competitors), Colombia's ag context (e.g., coffee/plant heritage indirectly relevant).
• Questions to ask: "How does the team integrate ML model outputs into UX for non-expert users?" or "What user data from the app shapes design priorities?"
• Red flags: Generic portfolios without mobile/AI focus; ignoring app's plant-care mission; poor remote collaboration signals (e.g., no time-zone flexibility for Colombia).

Practical Information

No salary, benefits, start dates, or duration data available

• typical for junior remote UX roles in Colombia startups: $800-1,500 USD/month stipend (entry-level benchmark), plus remote perks like flexible hours.[General] Networking: Leverage app's user community or alumni via LinkedIn (search PlantIn employees); build portfolio projects mimicking their features for visibility. Duration likely 3-6 months, flexible start. Tailor apps to show ML UX impact for success.