Remote Trust & Safety ML Engineer: Safeguard Generative AI

spinmaster; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Comprehensive benefits

Career development

Job summary

Spin Master is seeking a remote Trust & Safety Engineer to build and operate safeguards for a generative AI product used by children. You will own the moderation pipeline, evaluation tools, and incident response, ensuring safety is integrated from the start while enabling harmless creativity.

You will work hands-on with ML and backend teams to refine classifiers, evaluate prompts and models, and balance protection with user experience.

Qualifications

• Experience applying trust and safety engineering to real-user products.
• Experience building content safety evaluations or classifiers beyond vendor setups.
• Strong Python engineering skills with production-grade code.
• Judgment balancing accuracy and user experience under pressure.

Responsibilities

• Maintain moderation across the full flow from a child’s spoken request to the image that is printed.
• Build and expand safety evaluation suites for model and prompt changes before release.
• Improve classifiers and decide between in-house or third-party models.
• Tune moderation to reduce over-blocking while preserving safeguards.
• Conduct red-team exercises and maintain tools for reviewing flagged content and parent reports.
• Own the incident response process and support data retention/deletion compliance.
• Collaborate with ML and backend engineers to bake safety into releases before launch.

Skills

Trust & safety engineering

Content safety evaluations

Python programming

Decision making under pressure

Job description

Spin Master is seeking a remote Trust & Safety Engineer to build and operate safeguards for a generative AI product used by children. You will own the moderation pipeline, evaluation tools, and incident response, ensuring safety is integrated from the start while enabling harmless creativity.

You will work hands-on with ML and backend teams to refine classifiers, evaluate prompts and models, and balance protection with user experience.