Rapidly Scaling AI Caption Evaluation Across 45 Languages

The Challenge

Ensuring Your AI Captions Deliver Meaning Across 45 Languages

A caption can be grammatically correct and still miss the mark entirely. A cultural reference that doesn't land, an idiomatic expression used in the wrong register, a description of visual content that a native speaker would never phrase that way - these are the failures that damage product credibility in a market, and they're invisible to anyone who doesn't live in that language.

Launching without validated caption quality data meant risking failures that would only surface after the product was already in front of international users.

There was a second risk: governance. Evaluation data collected under inconsistent rubrics across 45 languages isn't comparable - and inconsistent data can't drive model improvement. The value of the evaluation depended entirely on every reviewer applying the same criteria.

"Discovering that your AI captions don't work in a market after launch is a very different problem from discovering it before. The cost - reputationally and operationally - isn't comparable. That's why evaluation has to happen before the product reaches users, not after."

Jennifer Nacinelli, AI Data Program Manager, Acolad

Acolad delivers targeted, accurate, and reliable datasets to ensure the best possible AI and machine learning performance.

Discover Our Data Services

The Solution

A Complete Multilingual Evaluation Program - Built and Executed in Two Weeks

Acolad designed custom evaluation guidelines and rubrics for the engagement, advising the client on quality criteria and the cultural considerations that differ by language and region. Every reviewer was:

A native speaker, not an advanced learner
Briefed on the specific quality dimensions that matter for AI-generated visual captions
Applying consistent evaluation criteria - not personal language instinct

All reviewer interactions were managed through a single point of contact, ensuring consistent briefing and quality checkpoints across the full scope.

Delivery was phased to match the client's priority markets:

Week 1: 10 priority languages - French, Italian, German, Spanish, and a set of Asian languages
Week 2: remaining 35 languages

Workflow management was built around the client's existing processes, running within Excel-based workflows to avoid platform onboarding overhead and keep reviewer allocation and quality checkpoints visible to the client throughout.

45 Languages

Evaluated with cultural nuance

Launch-Ready

AI captioning delivered at speed

Risk minimized

For global expansion of new AI captioning tools

The Results

A Global AI Caption Tool Launch Without the Quality Headaches

All 45 languages were delivered within the two-week window. The client received evaluations that were linguistically accurate and culturally grounded - produced by native speakers applying consistent criteria across every market in scope.

Instead of proceeding to international rollout on assumption, the product team had human-validated evidence of where the AI caption tool performed to standard and where it required adjustment before launch. That's the difference between a data-informed rollout decision and a reactive one.

The engagement established Acolad as the client's preferred partner for large-scale AI evaluation projects, confirmed through continued engagement after the initial delivery.