Back End Engineer - AI Infrastructure (Remote Contract)

Alignerr Corp.

New York (NY)

Remote

USD 83,000 - 165,000

Part time

21 hours ago
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Job summary

Alignerr is seeking Back End Developers for a fully remote, hourly contract based in or around New York. You will design, build, and optimize server-side systems, APIs, and data pipelines that power AI-driven products, from AI training data workflows to scalable microservices handling real-world traffic.

Join a remote, flexible team and contribute to data pipelines, model-serving infrastructure, and high-performance backend engineering across distributed teams and time zones.

Qualifications

  • Back-end languages: Python, Go, Java, Node.js, or Rust.
  • RESTful API design and microservices in distributed systems.
  • Experience with relational and NoSQL databases (PostgreSQL, MongoDB, Redis).
  • Cloud platforms like AWS, GCP, or Azure.
  • Version control (Git), CI/CD, and containerization (Docker, Kubernetes).

Responsibilities

  • Design, develop, and maintain back-end services, APIs, and data pipelines.
  • Build scalable server-side architecture to support AI workloads.
  • Write clean, testable, well-documented code.
  • Integrate with databases, queues, cloud services, and third-party APIs.
  • Optimize performance, reliability, and scalability as usage grows.
  • Collaborate asynchronously with distributed teams of engineers and researchers.
  • Conduct code reviews and contribute to architecture decisions.
  • Work independently on task- and project-based assignments.

Skills

Python
Go
Java
Node.js
Rust
RESTful API design
Microservices architecture
Distributed systems
Relational databases
NoSQL databases
AWS
GCP
Azure
Docker
Kubernetes
Git
CI/CD

Tools

Docker
Kubernetes
PostgreSQL
MongoDB
Redis
Git
CI/CD pipelines

Job description

Alignerr is seeking Back End Developers for a fully remote, hourly contract based in or around New York. You will design, build, and optimize server-side systems, APIs, and data pipelines that power AI-driven products, from AI training data workflows to scalable microservices handling real-world traffic.

Join a remote, flexible team and contribute to data pipelines, model-serving infrastructure, and high-performance backend engineering across distributed teams and time zones.

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