Fashion Stylist Trainee

Role: Fashion Stylist – Persona Design & Styling Intelligence

Location: Noida (Delhi NCR)

Experience: Freshers 

Eligibility: UG/PG NIFT/Pearl Academy

CTC: 10K Stipend for 6 months OTJ Training, post confirmation 3.6 LPA package

You will lead the Styling & Persona Development function — refining, curating, and visualizing style identities for our AI engine.

Your insights will directly influence how Dripi recommends outfits, looks, and style inspirations to millions of users.

1. Style Curation & Outfit Creation

• Create complete looks across apparel, footwear, and accessories for various body types, occasions, and style personas.
• Build style guides, moodboards, and outfit recommendations aligned with Gen Z and young-adult fashion trends.

2. Trend Research & Insights

• Track latest fashion trends across global runways, Instagram, TikTok, and influencer culture.
• Provide weekly insights to improve the AI’s fashion understanding and recommendation patterns.

3. Data Annotation for AI Training

• Tag outfits and garments with attributes such as silhouette, fabric, aesthetic, vibe, occasion, and style category.
• Evaluate and refine AI-generated looks by providing stylist-quality feedback.

4. Wardrobe Intelligence & Style Logic

• Develop rules/logics for what pairs well together (fits, colors, textures, occasion-appropriateness).
• Build “if/then” style frameworks for the AI engine to generate accurate and culturally relevant suggestions.

5. Content Creation & Visual Styling

• Create visual references, style boards, and curated collections to support training datasets.
• Assist in shoots or mock-styling sessions to build content for the AI library.

6. Quality Control of AI Output

• Review AI-generated stylings for accuracy, aesthetics, and brand relevance.
• Provide corrections, alternatives, and reasoning to improve the model's style quotient.

7. Collaboration with Tech & Product Teams

• Work closely with designers, product managers, and data scientists to define styling rules and improve output quality.
• Participate in user testing to refine the style engine’s experience.

8. User Persona Understanding

• Develop fashion personas based on users’ preferences, budgets, body shapes, and style aspirations.
• Tailor styling logic to improve user satisfaction and outfit success rates.

·       Graduate or Postgraduate in Fashion Designing from NIFT/Pearl/BITS

·       Strong understanding of Indian body diversity, skin undertones, and urban fashion culture.

·       Aesthetically sharp — able to visualize how different personas express themselves through clothing.

·       Familiar with digital fashion tools (Figma, Canva, Adobe Illustrator/Photoshop).

·       Comfortable working at the intersection of fashion and AI.

·       Strong attention to detail and ability to structure creative insights systematically.

·       A front-row seat in shaping India’s first AI fashion identity system.

·       Opportunity to define how personalization in fashion works for millions of users.

·       Collaborate with a tech-first team building the future of style intelligence.

·       Certificate of Contribution + long-term opportunity to lead the Style Intelligence Division.

About Dripi

Dripi is India’s first agentic AI-powered Smart Wardrobe Platform, built to solve two of fashion’s highest-frequency consumer decisions: “What should I wear?” and “What should I buy next?”

By leveraging a user’s existing wardrobe, lifestyle, fashion persona, occasion, and contextual signals, Dripi acts as a personalized fashion decision engine across the entire wardrobe lifecycle.

It transforms wardrobes into intelligent, shoppable fashion graphs—enabling hyper-personalized styling, smarter fashion discovery, optimized purchases, and more efficient fashion commerce across online and offline ecosystems.

Beyond styling and shopping, Dripi manages all three stages of the wardrobe journey—Purchase, Usage, and Disposal—driving a more intelligent and circular fashion economy.

For details, refer www.Dripi.in