At a glance
- Company
- ArniSun
- Location
- Delhi
- Work arrangement
- On-site
- Employment type
- Full-time
- Salary
- INR 38,000 to 68,000 per month
- Opened
- Oct 31, 2026
- Closes
- Open until filled
About the role
We are looking for an AI Beauty Tools Research Analyst with 2–5 years of experience to prepare AI tool comparison sheets, capability briefs, and risk notes. Skills in AI product research and evaluation methods are important for repeatable tests and transparent uncertainty.
Responsibilities
- Develop and maintain AI tool comparison sheets, capability briefs, and risk notes on feature and accuracy research for AI beauty tools, with agreed deadlines and clear version control.
- Handle testing product flows, comparing claims, and documenting limitations; document assumptions and handoffs for the next contributor.
- Use Google Sheets, vendor documentation, test devices to produce traceable work and communicate relevant findings.
- Apply AI product research, evaluation methods, privacy awareness to improve the reliability and usefulness of the final materials.
- Coordinate with beauty editors and software reviewers and check repeatable tests and transparent uncertainty before delivery.
Qualifications
- Relevant background in technology research, data analysis, or AI product portfolio; equivalent demonstrated expertise may be considered where licensure is not required.
- Typically 2–5 years of relevant work, supported by examples of AI tool comparison sheets, capability briefs, and risk notes.
- Working knowledge of Google Sheets, vendor documentation, test devices and a practical approach to testing product flows, comparing claims, and documenting limitations.
- Ability to apply AI product research, evaluation methods, privacy awareness and communicate limitations or tradeoffs.
- Preferred: experience reviewing repeatable tests and transparent uncertainty with beauty editors and software reviewers.
How to apply
To apply, complete the application form on this page with your contact information, qualifications and relevant professional experience. Upload an updated resume/CV and a brief cover letter. Provide examples of AI tool comparison sheets, capability briefs, and risk notes. ArniSun will contact shortlisted candidates regarding the next steps.
Frequently asked questions
What deliverables would a AI Beauty Tools Research Analyst own?
The role focuses on AI tool comparison sheets, capability briefs, and risk notes, specifically covering feature and accuracy research for AI beauty tools. The person would also carry out testing product flows, comparing claims, and documenting limitations and keep work organized for editorial or stakeholder review.
Which tools are most useful for a AI Beauty Tools Research Analyst?
Experience with Google Sheets, vendor documentation, test devices is relevant because the day-to-day workflow includes testing product flows, comparing claims, and documenting limitations. Tool familiarity should be supported by demonstrable results, not just course certificates.
What qualifications and experience suit the AI Beauty Tools Research Analyst role?
A suitable applicant generally has 2–5 years of related experience and a background in technology research, data analysis, or AI product portfolio. Practical samples of AI tool comparison sheets, capability briefs, and risk notes are valuable.
How would ArniSun assess the work of a AI Beauty Tools Research Analyst?
The proposed quality criteria include repeatable tests and transparent uncertainty. Evaluators would also look for sound AI product research, evaluation methods, privacy awareness and evidence that recommendations are accurate, clear, and usable.
Who would a AI Beauty Tools Research Analyst work with?
The role is designed to work closely with beauty editors and software reviewers. Collaboration involves sharing drafts or test findings, resolving feedback, and explaining decisions in the context of feature and accuracy research for AI beauty tools.
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AI Beauty Tools Research Analyst · ArniSun