Creator Data & QA Assistant

About Pluvus

Pluvus is an AI-powered creator and affiliate marketing platform that automates the entire pipeline for DTC brands and consumer SaaS companies — from discovering the right creators to personalized outreach, onboarding, performance tracking, and payouts. We're an early-stage startup moving fast and hiring the core team that will take us from our first customers to our first hundred.

About the Role

You will work directly with our founder to maintain the quality and accuracy of our creator database. This is not a passive admin role. Our platform surfaces creator data automatically — your job is to make sure every record that reaches a client is accurate, complete, and campaign-ready.

What You'll Do

Creator Database QA & Maintenance

• Review creator profiles surfaced by our platform for accuracy, completeness, and brand safety
• Verify key data fields are correct and up to date — handle, platform, follower count, engagement rate, contact email, niche tags
• Flag and remove inactive, irrelevant, or low-quality profiles before they reach client lists
• Organize and maintain client-specific creator lists in Google Sheets
• Highlight high-potential creators with strong engagement, DTC brand affinity, or recent brand partnership activity
• Keep all lists clean, deduplicated, and updated on a weekly cadence

What We're Looking For

• Based in Vietnam, available part-time (20 hrs/week)
• Extremely detail-oriented — data accuracy is non-negotiable
• Proficient in Google Sheets — you will maintain multiple organized trackers
• Consistent and self-directed — you deliver on schedule without being followed up
• Good written English
• Prior experience in data QA, creator research, or influencer marketing is a strong advantage

What You Don't Need

• No sales or outreach experience required
• No prior knowledge of creator marketing — we train you fully in week one
• No calls, demos, or client-facing work involved

Compensation

Base salary: $180 USD per month

Part-time: 20 hours per week

Opportunity to grow with a fast-moving startup from the ground floor

To apply, click Apply on LinkedIn. In your application note, include 3 sentences or fewer describing a time you caught and fixed errors in a dataset or research list. Generic answers are not considered. Rolling applications — hiring immediately.