Job VC
Data Operations Specialist — Supplement Database
Technologies
Description
Remote | Freelance Hourly Contract
We're building a structured supplement intelligence platform with 50,000+ products across 350+ categories. We need a detail-obsessed operator to keep product data accurate, clean, and complete.
What We Need
Basic SQL (SELECT, JOIN, WHERE, UPDATE)
Basic regex (read and apply existing rules, no writing required)
Extreme precision and attention to detail
Comfortable with repetitive work done consistently well
Familiar with supplement facts panels and marketing language (ingredients, doses, claims, certifications)
Fine to work in evening time
Immediate Tasks
Review and correct product records in the Filament admin panel
Map ingredients, categories, and brands to internal taxonomy
Run prepared SQL queries to find data gaps and inconsistencies
Create simplified, regex-like rules to clean titles, doses, and units
QA outputs from OCR and LLM extraction pipelines — flag and correct edge cases
Maintain data quality dashboards, report issues to backend
Tech Environment
MySQL, Filament admin, basic regex
Why Join
Clear scope
— you own data quality, the backbone of the product
Direct impact
— your work ships daily, no layers between you and production
Small team
— work directly with CEO and backend
Mission
— bring transparency to the $200B global supplement market
Required
B2 English
Self-directed, reliable, hits deadlines
Async, written-first communication (Slack/WhatsApp, Linear)
About LabelWise
— Structured supplement intelligence platform. Scans labels to instantly reveal safety, quality, and price across 50,000+ products.
We're building a structured supplement intelligence platform with 50,000+ products across 350+ categories. We need a detail-obsessed operator to keep product data accurate, clean, and complete.
What We Need
Basic SQL (SELECT, JOIN, WHERE, UPDATE)
Basic regex (read and apply existing rules, no writing required)
Extreme precision and attention to detail
Comfortable with repetitive work done consistently well
Familiar with supplement facts panels and marketing language (ingredients, doses, claims, certifications)
Fine to work in evening time
Immediate Tasks
Review and correct product records in the Filament admin panel
Map ingredients, categories, and brands to internal taxonomy
Run prepared SQL queries to find data gaps and inconsistencies
Create simplified, regex-like rules to clean titles, doses, and units
QA outputs from OCR and LLM extraction pipelines — flag and correct edge cases
Maintain data quality dashboards, report issues to backend
Tech Environment
MySQL, Filament admin, basic regex
Why Join
Clear scope
— you own data quality, the backbone of the product
Direct impact
— your work ships daily, no layers between you and production
Small team
— work directly with CEO and backend
Mission
— bring transparency to the $200B global supplement market
Required
B2 English
Self-directed, reliable, hits deadlines
Async, written-first communication (Slack/WhatsApp, Linear)
About LabelWise
— Structured supplement intelligence platform. Scans labels to instantly reveal safety, quality, and price across 50,000+ products.