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Posted 3 days ago
Responsibilities and deliverables
Backend Engineer
Pay: $60 - $110/hour
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
Design, develop, and maintain scalable backend services and APIs that meet demanding performance requirements.
Collaborate cross-functionally to translate business needs into technical specifications and impactful backend solutions.
Optimize backend systems for reliability, security, and efficiency, ensuring seamless user experiences.
Write clean, well-documented, and thoroughly tested code, adhering to best engineering practices.
Participate actively in code reviews, mentoring, and knowledge sharing sessions with fellow engineers.
Monitor, troubleshoot, and resolve backend issues in production environments, targeting root causes and continuous improvements.
Contribute to architecture discussions and decisions, bringing innovative ideas and a solutions-oriented mindset.
Required Skills and Qualifications:
1+ Years Proven expertise in backend development using modern programming languages.
Extensive experience designing and implementing RESTful APIs and microservices architectures.
Strong proficiency with relational and NoSQL databases, along with data modeling principles.
Deep understanding of system security, authentication, and authorisation best practices.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Excellent written and verbal communication skills, with a collaborative and proactive approach.
Ability to thrive in a fast-paced, fully remote expert team environment.
Preferred Qualifications:
Familiarity with event-driven or server less architectures.
Experience with CI/CD pipelines and automated testing frameworks.
Background in mentoring or technical leadership within backend teams.
About us:
Data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)