Job Description

About the Role:

TrustScale is building scalable, high-quality human-in-the-loop systems to power AI. We are looking for an AI Quality Control Specialist - Spanish Language Specialist who can analyze, validate, and challenge AI-generated outputs with precision and consistency. This is not a proofreading role. You will act as a quality gatekeeper, ensuring outputs meet standards for accuracy, utility, and linguistic quality across large-scale workflows.

What You Will Do:

• Evaluate AI-generated content in Spanish across multiple task types (annotation, review, validation).
• Apply structured quality frameworks to assess:
• Accuracy and factual correctness.
• Utility (alignment with user intent).
• Language quality (fluency, tone, clarity).
• Train vendors
• Participate Clients Calls

Identify and flag:

• Hallucinations and misinformation.
• Logical inconsistencies.
• Cultural or linguistic mismatches.
• Provide clear, structured feedback to improve upstream quality.
• Detect patterns of errors across batches and contribute to quality insights.
• Support calibration efforts to ensure consistent scoring across teams.
• Contribute to guideline refinement and evaluation standards.

Who You Are:

• Professional proficiency in Spanish and strong command of English are required.
• Highly analytical with strong critical thinking skills.
• Comfortable working with ambiguous and evolving guidelines.
• Detail-oriented with the ability to maintain consistency at scale.
• Clear communicator, able to justify decisions and provide actionable feedback.
• Naturally skeptical—able to question outputs and validate information.

Preferred Background:

• Journalism, editorial, or investigative research.
• Linguistics, translation, or localization QA.
• Content moderation / Trust & Safety.
• Experience in AI data annotation, evaluation, or QA.

What Success Looks Like:

• High consistency in quality scoring across tasks.
• Strong alignment with QA benchmarks.
• Ability to detect non-obvious quality issues.
• Feedback that improves annotator performance and overall output quality.
• Contribution to a scalable, predictable quality system.

Why TrustScale:

At TrustScale, we operate AI talent as a supply chain—structured, measurable, and optimized. You will be part of a system where quality is not subjective, but defined, measured, and continuously improved.