Aquent is hiring: Content Producer II - Linguistic Specialist in Cupertino

Job Title: Content Producer II - Linguistic Specialist

Client Location: Hybrid in Cupertino, CA

Starting: 02/10/2025

Salary/Pay Rate: $41-44/hr + benefits

Hours: Full-time

Duration: 6 months

Job Description:

We’re looking for a Content Producer/Linguistic Specialist with native-level fluency in English to help us evaluate and improve content for the Canadian market. In this role, you’ll work closely with cross-functional teams to ensure that content is accurate, culturally appropriate, and aligned with local norms. You’ll also help support Machine Learning (ML) and Large Language Models (LLMs) projects, ensuring high-quality data and content across various media types.

Responsibilities:

• Linguistic & Cultural Expertise: Ensure all content follows Canadian English grammar, spelling, and cultural norms for the Canadian market.
• Collaboration: Work with Design, Product, Editorial, Safety, and Engineering teams to deliver high-quality results on time.
• Data Quality: Maintain high standards for data quality and improve processes based on feedback.
• Content Evaluation: Review, research, and verify content and metadata accuracy across different media types.
• Feedback & Problem Solving: Provide feedback to editorial and engineering teams and suggest improvements.
• Content & Workflow Management: Follow established workflows and ensure content aligns with project guidelines, including Apple style guides.
• LLM Evaluation: Help evaluate Large Language Models using human evaluations and automated benchmarks.
• Research & Data Collection: Conduct surveys or experiments with human participants to gather insights for LLM evaluation.

Qualifications:

• Native-level fluency in English (Canadian market).
• Strong understanding of Canadian English grammar, spelling, and cultural norms.
• Excellent written and verbal communication skills.
• Experience working with cross-functional teams to deliver results on time.
• Knowledge of Machine Learning or Large Language Models (preferred).
• Experience with data quality management and conducting research with human participants (a plus).
• Degree in Linguistics, Computer Science, Machine Learning, or a related field (preferred).