Senior Python Backend Engineer - AI Data Pipelines (Remote)

Alignerr Corp.

Seattle (WA)

Remote

USD 83,000 - 165,000

Part time

36 hours ago
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Job summary

Alignerr invites a Senior Python Full-Stack Engineer to join its data annotation and evaluation tooling for AI training. This role focuses on production-grade Python systems, performance, and scalable pipelines in a remote contract arrangement.

You'll build data pipelines, annotation tooling, and background-job systems, collaborating with researchers and engineers across time zones. 20–40 hours weekly, hourly contract basis.

Qualifications

  • 3–5+ years of production-grade Python experience.
  • Strong full-stack and systems programming background.
  • Experience with asynchronous task queues and background jobs.
  • Ability to optimize high-throughput databases and use WebSockets.

Responsibilities

  • Design, build, and optimize high-performance Python systems for data pipelines.
  • Develop full-stack tooling and backend services for annotation, validation, and QC.
  • Build and maintain asynchronous task queues for long-running jobs.
  • Optimize queries for high read/write workloads; serve data via real-time protocols.
  • Improve reliability and performance of production Python codebases.
  • Collaborate with data scientists, researchers, and engineers for training/eval workflows.
  • Identify bottlenecks and implement scalable fixes.
  • Participate in design reviews to drive architecture decisions.

Skills

Python development
Full-stack development
Asynchronous task queues
Database optimization
WebSockets
Technical communication
English fluency
Part-time availability

Tools

Python
Async frameworks
WebSockets
Databases
Redis

Job description

Alignerr invites a Senior Python Full-Stack Engineer to join its data annotation and evaluation tooling for AI training. This role focuses on production-grade Python systems, performance, and scalable pipelines in a remote contract arrangement.

You'll build data pipelines, annotation tooling, and background-job systems, collaborating with researchers and engineers across time zones. 20–40 hours weekly, hourly contract basis.

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