Multilingual Image & Text AI Quality Expert

AI Trainer Jobs; United States; Remote; USD 45,000 - 75,000; Full time

Job summary

TELUS Digital is seeking a Multilingual Image & Text AI Evaluator to join the AI Community. You will participate in a two-stage visual evaluation project, assessing AI-generated images for text accuracy and correcting visual distortions across multiple languages.

You will follow complex linguistic and visual guidelines, perform precise annotations, and provide feedback to ensure high-quality outputs for leading brands.

Responsibilities

• Two-Stage Visual & Text Evaluation: Evaluate AI-generated images and text for accuracy and quality.
• Text Correctness Scoring: Assess spelling, grammar, vocabulary, and contextual accuracy in embedded text.
• Localized Bounding-Box Corrections: Annotate precise bounding boxes to fix spelling errors and distortions.

Job description

About the Role

Join the TELUS Digital AI Community and make a direct impact on the machine learning models of some of the world's largest brands.

As a Multilingual Image & Text AI Evaluator, you will participate in a specialized two-stage visual evaluation project for generative AI models. You will evaluate AI-generated images for text accuracy, identify visual distortions, and perform precise localized corrections to ensure AI outputs meet high linguistic and visual standards.

Target Languages Requested

We are currently seeking language experts with native or fluent proficiency in any of the following target languages:

• Thai


• French (France)


• Vietnamese


• Malay


• Japanese


• Korean


• Indonesian


• Arabic (Gulf)


• Spanish (Mexico)


• Portuguese (Brazil)


• Tagalog

Key Responsibilities

• Two-Stage Visual & Text Evaluation:

1. Text Correctness Scoring: Evaluate and score text embedded within AI-generated images for spelling, grammar, vocabulary, and contextual accuracy.


2. Localized Bounding-Box Corrections: Perform precise spatial bounding-box annotations to capture, flag, and correct spelling errors, typographical issues, and visual rendering distortions.

• Guideline & Quality Adherence: Consistently learn, apply, and maintain complex visual and linguistic annotation guidelines across all assigned tasks.


• Feedback & Escalation: Identify subtle visual/textual anomalies, flag ambiguous data, and ensure high annotation trustworthiness across project workflows