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Trust & Safety AI Engineer - Job Opportunity at TechBiz Global GmbH

Dresden, Germany
Full-time
Mid-level
Posted: June 9, 2025
On-site
EUR 65,000 - 85,000 per year (USD 70,000 - 92,000 equivalent). This estimate reflects the specialized nature of AI safety engineering in the German market, accounting for Dresden's lower cost of living compared to major tech hubs like Berlin or Munich, while recognizing the premium for AI and content moderation expertise.

Key Responsibilities

Drive strategic content moderation initiatives by monitoring and filtering inappropriate content to ensure platform safety and positive user interactions while maintaining competitive advantage through superior community standards
Lead AI behavior optimization through advanced prompt engineering techniques to guide conversational AI systems while preserving natural interaction quality that differentiates the platform in the market
Establish and enforce comprehensive content moderation policies that align with corporate values and legal requirements, positioning the company as a responsible AI leader in the industry
Ensure global regulatory compliance across multiple jurisdictions while maintaining ethical standards that protect both users and company reputation in sensitive content markets
Navigate complex NSFW content policies by distinguishing acceptable behavior from prohibited conduct, demonstrating expertise in nuanced content classification that drives user engagement
Transform user feedback into actionable improvements for moderation systems, creating data-driven enhancement cycles that continuously elevate user experience and platform reliability
Orchestrate multilingual AI moderation systems that deliver culturally sensitive content filtering across diverse global markets, enabling international expansion and user base growth

Requirements

Education

Degree in Computer Science, Mathematics, Physics, or related subjects

Experience

Experience with prompt engineering and LLM behavior adjustment, Experience in communicating complex technical systems to laymen, Experience with managing large-scale customer feedback

Required Skills

Familiarity with content moderation systems and classifiers for detecting sensitive topics Proficiency in administering computer systems Strong communication & collaborative skills (perfectly fluent in English) Ownership and commitment Doer mindset User-centricity Comfortable building products that are based on uncensored models and content
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Sauge AI Market Intelligence

Industry Trends

The AI safety and content moderation market is experiencing explosive growth as regulatory bodies worldwide implement stricter AI governance frameworks, with the EU AI Act and similar legislation driving demand for specialized trust and safety engineers who can navigate complex compliance requirements while maintaining system performance. Large language models and generative AI systems are increasingly requiring sophisticated content moderation capabilities as they handle more sensitive and diverse content types, creating a critical need for engineers who understand both the technical aspects of AI systems and the nuanced policy requirements for content filtering. The convergence of AI ethics, user safety, and business viability is creating a new category of technical roles that blend engineering expertise with policy understanding, as companies recognize that trust and safety are fundamental to sustainable AI product development and market acceptance.

Role Significance

Typically part of a 3-8 person trust and safety engineering team within a larger AI/ML organization, working closely with policy specialists, data scientists, and product managers to implement comprehensive content moderation strategies.
Mid-level individual contributor role with significant autonomy and strategic impact on product safety and user experience. The position requires independent decision-making on complex content policy issues while collaborating across technical and policy teams to implement scalable solutions.

Key Projects

Implementation of multilingual content classification systems that can handle cultural nuances across different markets and user bases Development of prompt engineering frameworks that guide AI behavior while maintaining natural conversation flow and user engagement Creation of feedback loop systems that continuously improve moderation accuracy based on user reports and behavioral data Design of policy enforcement mechanisms that can adapt to changing regulatory requirements and social norms

Success Factors

Deep understanding of both AI/ML systems and human psychology to effectively balance automated moderation with user experience, requiring continuous learning about emerging AI capabilities and social dynamics Strong cross-cultural communication skills to navigate sensitive content policies across diverse global markets while maintaining consistent brand values and legal compliance Ability to translate complex technical concepts into actionable policy guidelines that non-technical stakeholders can understand and implement effectively Resilience and emotional intelligence to work with potentially disturbing content while maintaining professional objectivity and making sound judgments about user safety

Market Demand

High demand with limited supply of qualified candidates, as the intersection of AI engineering and content policy expertise represents a relatively new and rapidly growing specialization that most traditional software engineers lack experience in.

Important Skills

Critical Skills

Content moderation system expertise is absolutely essential as this represents the core technical competency required to build, maintain, and improve automated safety systems that can handle large-scale user-generated content across multiple languages and cultural contexts. Prompt engineering and LLM behavior adjustment skills are critical because they represent the primary mechanism for controlling AI system outputs in real-time, requiring deep understanding of both technical implementation and human psychology to achieve desired behavioral outcomes. Cross-cultural communication and policy translation abilities are vital because content standards vary significantly across global markets, and the ability to navigate these differences while maintaining consistent safety standards directly impacts business expansion and regulatory compliance.

Beneficial Skills

Machine learning and data science skills would enhance the ability to analyze moderation system performance and identify improvement opportunities through quantitative analysis of user behavior and content patterns. Legal and regulatory knowledge, particularly around international content law and AI governance frameworks, would provide valuable context for policy development and compliance assurance. User experience design understanding would help balance safety measures with user engagement, ensuring that moderation systems enhance rather than detract from overall product experience.

Unique Aspects

The role explicitly mentions working with NSFW content and uncensored AI models, indicating involvement with adult content platforms or applications that handle sensitive material, which represents a specialized niche within the broader AI safety field
Emphasis on multilingual and cultural adaptation suggests the target company operates across diverse international markets with varying content standards and regulatory requirements
The combination of technical AI engineering with policy development and user psychology represents a truly interdisciplinary role that bridges multiple domains of expertise
Focus on prompt engineering for behavior adjustment indicates work with cutting-edge conversational AI systems that require sophisticated guidance mechanisms

Career Growth

Typically 2-4 years to advance to senior individual contributor roles, with management track opportunities available after 3-5 years of demonstrated expertise in both technical implementation and policy development.

Potential Next Roles

Senior Trust & Safety Engineer with team leadership responsibilities and strategic policy development authority AI Ethics and Policy Manager overseeing broader organizational approaches to responsible AI development Principal Engineer roles in AI Safety at larger tech companies focusing on foundational safety research and implementation

Company Overview

TechBiz Global GmbH

TechBiz Global GmbH appears to be a recruitment and talent acquisition firm specializing in placing technical professionals with established technology companies, suggesting they maintain relationships with multiple clients across various sectors of the tech industry.

As a recruitment intermediary, TechBiz Global likely serves mid-market to enterprise clients who require specialized technical talent, positioning themselves as experts in matching candidates with companies that need niche skills like AI safety engineering.
Based in Germany with apparent focus on European tech market placement, particularly serving clients who need to comply with EU regulatory frameworks around AI and content moderation.
The recruiting firm emphasizes finding candidates who demonstrate ownership mentality and fast-paced execution, suggesting their clients value entrepreneurial thinking and rapid iteration in product development.
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