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Software Engineer - Backend

Alignerr

full-remotemidcontractbackendother Seattle, WA Today via LinkedIn
30,000 - 120,000 USD/annual

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Tags

Backend DevelopmentNode.jsPythonREST APIsDatabasesAsynchronous ProgrammingMicroservicesDistributed SystemsAI Training (RLHF)Data Labeling

About the role

Role overview

Software Engineer – Backend (Contract), fully remote and asynchronous (minimum 15 hrs/week). You’ll help evaluate and write backend code that supports AI data and model development work.

Responsibilities

  • Review and evaluate AI-generated backend code for correctness, efficiency, scalability, and clarity (e.g., Node.js, Python, Java, Go)
  • Write high-quality backend solutions for server-side and API development across varying difficulty levels
  • Provide clear, developer-friendly explanations for architectural decisions, code logic, and problem-solving approaches
  • Identify and flag edge cases and ambiguities in problem statements or AI responses

Requirements

  • Fluent English with strong written communication and ability to explain backend concepts clearly
  • Backend expertise including:
    • Server-side languages/frameworks (e.g., Node.js, Python, Java, Go)
    • RESTful APIs, databases, and asynchronous programming
  • 3–5 years of backend experience (backend frameworks/tools/domains such as Express, Django, Spring Boot, microservices, cloud platforms are a plus)
  • Bachelor’s degree (or pursuing) in Computer Science or related field (Master’s/PhD preferred)

Nice-to-haves

  • Experience with data labeling, RLHF, or other AI training projects

Interview process

  • Screen with Zara (AI interviewer) in English
  • Domain-specific interview assessing backend expertise, including distributed systems and microservices

Work setup

  • Fully remote, asynchronous
  • Flexible workload; success is judged by clear outcomes and autonomy

About Alignerr

Alignerr is associated with Labelbox, which builds a data engine for accelerating breakthrough AI. Its platform, expert services, and marketplace help teams iterate on data for safer, smarter models in production, serving AI labs and enterprises.

Scraped 4/15/2026

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