At a glance
- Company
- ArniSun
- Location
- Delhi
- Work arrangement
- On-site
- Employment type
- Full-time
- Salary
- INR 48,000 to 85,000 per month
- Opened
- Oct 31, 2026
- Closes
- Open until filled
About the role
We are looking for an AI Beauty Personalization Specialist with 3–6 years of experience to develop recommendation flow audits, personalization briefs, and testing notes. Skills in recommendation evaluation and skincare knowledge are important for user suitability and recommendation fairness.
Responsibilities
- Develop and maintain recommendation flow audits, personalization briefs, and testing notes on responsible personalization in beauty recommendations, with agreed deadlines and clear version control.
- Handle reviewing user inputs, checking recommendation logic, and documenting exclusions; document assumptions and handoffs for the next contributor.
- Use Google Sheets, analytics dashboards, personalization prototypes to produce traceable work and communicate relevant findings.
- Apply recommendation evaluation, skincare knowledge, data privacy to improve the reliability and usefulness of the final materials.
- Coordinate with product, skincare, and data teams and check user suitability and recommendation fairness before delivery.
Qualifications
- Relevant background in data analytics, product design, or cosmetic science with AI experience; equivalent demonstrated expertise may be considered where licensure is not required.
- Typically 3–6 years of relevant work, supported by examples of recommendation flow audits, personalization briefs, and testing notes.
- Working knowledge of Google Sheets, analytics dashboards, personalization prototypes and a practical approach to reviewing user inputs, checking recommendation logic, and documenting exclusions.
- Ability to apply recommendation evaluation, skincare knowledge, data privacy and communicate limitations or tradeoffs.
- Preferred: experience reviewing user suitability and recommendation fairness with product, skincare, and data teams.
How to apply
Apply using the application form on this page. Submit your updated resume/CV, contact details, qualifications and a brief cover letter describing relevant experience. Include examples of recommendation flow audits, personalization briefs, and testing notes. Shortlisted applicants will be contacted about the next steps.
Frequently asked questions
What deliverables would a AI Beauty Personalization Specialist own?
The role focuses on recommendation flow audits, personalization briefs, and testing notes, specifically covering responsible personalization in beauty recommendations. The person would also carry out reviewing user inputs, checking recommendation logic, and documenting exclusions and keep work organized for editorial or stakeholder review.
Which tools are most useful for a AI Beauty Personalization Specialist?
Experience with Google Sheets, analytics dashboards, personalization prototypes is relevant because the day-to-day workflow includes reviewing user inputs, checking recommendation logic, and documenting exclusions. Tool familiarity should be supported by demonstrable results, not just course certificates.
What qualifications and experience suit the AI Beauty Personalization Specialist role?
A suitable applicant generally has 3–6 years of related experience and a background in data analytics, product design, or cosmetic science with AI experience. Practical samples of recommendation flow audits, personalization briefs, and testing notes are valuable.
How would ArniSun assess the work of a AI Beauty Personalization Specialist?
The proposed quality criteria include user suitability and recommendation fairness. Evaluators would also look for sound recommendation evaluation, skincare knowledge, data privacy and evidence that recommendations are accurate, clear, and usable.
Who would a AI Beauty Personalization Specialist work with?
The role is designed to work closely with product, skincare, and data teams. Collaboration involves sharing drafts or test findings, resolving feedback, and explaining decisions in the context of responsible personalization in beauty recommendations.
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AI Beauty Personalization Specialist · ArniSun