Remote ML Engineer, Trust & Safety — Safer AI for Kids

Jobgether; United States; Remote; USD 98,000 - 131,000; Full time

Benefits offered by this job

Remote-first

Toronto-based opportunity

Flexible hours

Comprehensive benefits

Career development

Innovative AI tech

Collaborative culture

Professional impact

Inclusive workplace

Engaging environment

Job summary

Jobgether is seeking a Trust & Safety engineer to own and enhance the end-to-end content moderation pipeline. You will build safeguards for AI-generated content, develop evaluation frameworks, and maintain incident response playbooks.

You will collaborate with ML, Backend, and Platform teams to embed safety in new features, and you will continuously improve moderation systems as the product scales. The role emphasizes responsibility, independent leadership of critical initiatives, and a strong

Qualifications

• Experience in applied Trust & Safety engineering for consumer products.
• Strong Python software engineering for production-grade moderation pipelines.
• Proven track record building or improving ML classifiers for harmful content.
• Understanding of moderation methodologies and safety systems.
• Experience designing evaluation suites to measure model safety impact.
• Ability to balance precision/recall and tuning thresholds.
• Experience with red-teaming, adversarial testing and vulnerability identification.
• Ability to build reliable, fail-safe production systems for sensitive content.

Responsibilities

• Own end-to-end content moderation pipeline safety.
• Develop safeguards for AI-generated content and copyrighted material.
• Expand safety evaluation frameworks and thresholds.
• Define criteria to deploy new models and prompts with safety.
• Improve classifiers for harmful content and decide tool usage.
• Balance moderation precision with user protections and minimize false positives.
• Run red-team exercises to identify model and pipeline weaknesses.
• Develop internal review tools for investigating content and parent reports.
• Own incident response procedures and runbooks for safety issues.
• Overlap safety with data retention and privacy compliance.
• Collaborate with ML, Backend, and Platform teams to embed safety in features.
• Monitor safeguards and expand as product scales internationally.
• Maintain reliable, scalable moderation systems.

Skills

Python

ML classifiers

Content moderation

Red-teaming

Incident response

Data privacy

Collaboration

Decision making

Ownership mindset

Job description

Jobgether is seeking a Trust & Safety engineer to own and enhance the end-to-end content moderation pipeline. You will build safeguards for AI-generated content, develop evaluation frameworks, and maintain incident response playbooks.

You will collaborate with ML, Backend, and Platform teams to embed safety in new features, and you will continuously improve moderation systems as the product scales. The role emphasizes responsibility, independent leadership of critical initiatives, and a strong