Labelwise

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.

Remote · Contract · EU time zone preferred · Capacity: propose what the scope needs.

We pay for outcomes, not hours. You own the pipeline; we own the product.

Contract engagement, scope-driven. Propose your own structure — trial period, fixed-price milestones, retainer, or a hybrid. Whatever fits how you actually work.
 

We're building the definitive structured quality, safety & value dataset for the global supplement market. Two customers: consumers (React Native app) and AI systems (structured API). The data pipeline IS the product. 
 

What you deliver:

A pipeline that generalizes across our module types: boolean classification, multi-class classification, characteristic extraction, entity extraction, entity linking/grouping, and structured attribute profiling.
Core deliverables:

• Golden-record schema and workflow that works for any of the above, co-built with our regulatory SME
• Eval harness in CI — accuracy reported on every commit, per module
• Versioned prompt/rule system with rollback
• Measured, reproducible accuracy numbers on held-out sets, per module, against written gates
• A workflow our SME can operate without a developer in the loop

Success = numbers we trust, on sets we trust, with a pipeline that won't silently regress — and a framework that scales to every remaining module without rework.
 

Stack: Python, DSPy, vLLM, PaddleOCR, RT-DETR, open-weight VLMs and LLMs. Laravel/Filament backend (you consume it, our backend team maintains it).
 

Required:

• 3+ years shipping production ML/data pipelines — not research
• Prompt optimization at scale: DSPy / BootstrapFewShot / MIPROv2, or equivalent (LangChain + pytest eval harness counts)
• VLM inference serving (vLLM / TGI / llama.cpp)
• OCR pipelines wired to detection models
• Eval-first: you ship the harness before the pipeline
• Clean Python, git discipline, versioned prompts
• You've maintained a pipeline in production for 12+ months (not just built and handed off

Not a fit if you:

• Propose RAG for structured extraction
• Want to fine-tune before prompt-optimizing
• Want to pre-train a domain model
• Need a PM to translate goals into tickets
   

Nice to have: Comfortable reading enough PHP/Laravel to integrate with our Filament admin.

We provide: 

• Direct CEO collaboration — fast decisions.
• Regulatory SME owns golden records and sign-off
• Backend team handles schema and infra
• Written acceptance criteria before each module
   

Compensation: fixed-price per milestone, or retainer. Propose your structure with application.
 

How to apply?

Fill out questioner below and submit.

NB. No cover letters. No AI-generated applications — we'll notice.