AI Safety Engineer — Remote Free-Tier Moderation

Coinscapture; Northern (KY); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Learning stipend

Annual discretionary travel stipend

Offsite retreats

Co-working stipend

Job summary

ElevenLabs is seeking an experienced AI Safety Engineer to deploy and operate automated moderation systems, with a focus on protecting free-tier users. You will help build scalable safety infrastructure alongside ML and full-stack engineers, bridging research and production for robust guardrails.

In this role you will own end-to-end technical execution, including architecture, deployment and monitoring, ensuring observability and scalable safety across multimodal spaces.

Qualifications

• 6+ years backend software engineering experience in production systems at scale.
• Proficiency with Python and building APIs, data pipelines and services.
• Experience deploying ML/AI systems in production and ML ops concepts.
• Cloud, containers, CI/CD, and observability best practices.

Responsibilities

• Design and build scalable backend infrastructure for abuse detection and moderation.
• Architect robust APIs, data pipelines, and services for real-time and batch workflows.
• Implement monitoring, SLIs/SLOs, and alerting to ensure reliability.
• Collaborate with ML engineers to productionize research models and guardrails.
• Drive safety roadmap decisions for scalable, precise platform guardrails.

Skills

Backend engineering

Python

APIs

Distributed systems

AWS/GCP

Docker

Kubernetes

CI/CD

Observability

Prometheus

Grafana

ML/AI in prod

Kafka/Redis

Tools

Docker

Kubernetes

Prometheus

Grafana

Kafka

Redis

AWS

Job description

ElevenLabs is seeking an experienced AI Safety Engineer to deploy and operate automated moderation systems, with a focus on protecting free-tier users. You will help build scalable safety infrastructure alongside ML and full-stack engineers, bridging research and production for robust guardrails.

In this role you will own end-to-end technical execution, including architecture, deployment and monitoring, ensuring observability and scalable safety across multimodal spaces.