Senior Backend Engineer for AI Model Training
$50 - $100 per hourSaidGig
Role Overview
Design and build realistic Reinforcement Learning environments that train and evaluate AI models on production-grade cloud infrastructure tasks. Your work will create reproducible scenarios that test AI systems on design, deployment, troubleshooting, security, scaling, and recovery of distributed systems.
Key Responsibilities- Design, develop, and implement cloud infrastructure environments that evaluate AI model proficiency in systems design, deployment, and troubleshooting.
- Create detailed, reproducible scenarios covering distributed systems, networking, Identity and Access Management (IAM), message queues, persistent storage, observability, rolling deployments, and disaster recovery.
- Develop deterministic validation tests and golden reference solutions to verify environment behavior and model correctness.
- Produce intentionally defective variants and failure scenarios to test AI model responses and recovery strategies.
- Document architecture, edge cases, and operational flows for each environment to ensure clarity and reproducibility.
- Collaborate with technical leads and project participants to refine environment specifications and acceptance criteria iteratively.
- Apply DevOps and infrastructure automation practices to deliver scalable, secure, and maintainable evaluation environments.
- Proven expertise in backend programming using one or more of these languages: C++, Python, Rust, GoLang, JAVA, JavaScript.
- Strong practical experience with DevOps, cloud infrastructure, CI/CD pipelines, and automation tools.
- Demonstrated ability to architect, scale, and secure distributed systems in production-grade environments.
- Deep understanding of networking, IAM, message queues, durable storage, observability, rolling deployments, and disaster recovery concepts.
- Role type: Contractor.
- Commitment: 20 hours per week.
- Location: Remote.
- Project context: Engagement is for an advanced, customer-facing project focused on creating Reinforcement Learning Environments for AI model training and evaluation.
- Start timeline: Roles are typically filled within 48 hours; candidates who can jump in right away are preferred.
- Pay rate: $50 - $100 per hour.
- Payment model: Output-based, paid per task that meets the project specifications.
- Work duration per task will vary by expert experience and workflow.
- Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
- Applicants must be able to engage as independent contractors.
- Apply to the role and complete the screening questions.
- Complete an AI interview, approximately 30 minutes, which is reviewed by recruiters.
- Final review by the hiring manager.
Vacancy posted 6 days ago
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