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Full-Stack Software Engineer (AI Reinforcement Learning Data Platform)

clera • United States
Visa Sponsorship Relocation
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Build product interfaces, backend services, and internal tools for an AI reinforcement learning data platform. Develop dashboards, partner workflows, and APIs supporting environment creation, evaluation, and training data improvement. Requires 3+ years of full-stack experience with Python, a modern web stack, and hands-on AI/ML or RL experience.

Key Highlights
Full-stack role building tools for an AI reinforcement learning data platform
On-site in San Francisco with limited remote option by time zone overlap
Base salary $130,000-$225,000 USD annually
Visa sponsorship and relocation support available
Requires 3+ years full-stack experience with Python and a modern web stack
Key Responsibilities
Develop tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior
Build partner workflows for creating, submitting, testing, and iterating on reinforcement learning environments and training data
Create dashboards and observability tools for environment quality, evaluation results, data collection progress, and pipeline health
Design backend services and APIs connecting task authoring, data collection, evaluation, quality review, and training systems
Collaborate across research, operations, and go-to-market teams to ship and improve products
Technical Skills Required
Python React SQL
Benefits & Perks
Visa sponsorship
Relocation support
Nice to Have
Experience with data collection, annotation, or evaluation platforms
AWS
Kubernetes
Terraform
Grafana

Job Description

About the Role

Build the product interfaces, backend services, and internal tools that support an AI reinforcement learning data platform. You will work with research, operations, and external partners to turn complex needs into useful tools for creating, evaluating, and improving training data.

What You'll Do

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