Liftedanupworkcompany

Liftedanupworkcompany

Full Stack Software Engineers for AI Training

Role

Full Stack Software Engineers for AI Training

Job type

Contract

Posted

1 week ago

Salary

Not disclosed by employer

Job description

You may contribute your expertise by:

  • Creating and answering technical questions about software engineering concepts and fullstack development, coding best practices, and debugging strategies to help train AI models
  • Reviewing and evaluating code generated by AI in languages such as JavaScript, Python, Go, Java, TypeScript, and C++
  • Analyzing code quality, maintainability, and adherence to real-world engineering standards
  • Providing expert-level feedback on version control workflows, collaborative coding practices, and effective debugging techniques

We’re looking for people with: 

  • 3+ years of professional software engineering experience with full stack development
  • Proficiency in at least two of the following languages: JavaScript, Python, Go, Java, TypeScript, or C++ -
  • Professional experience building and maintaining production-grade software systems
  • Strong knowledge of Git (or similar version control systems), including experience with branching, merging, and collaborative development workflows
  • Outstanding attention to detail and ability to clearly communicate technical feedback and coding best practices

Nice to have:

  • Backend engineering expertise with experience designing and scaling server-side systems 
  • Test-Driven Development (TDD) experience and strong testing discipline
  • Experience authoring technical specifications and API contracts
  • Hands-on expertise with testing frameworks such as PyTest, JUnit, Mocha, or similar tools
  • Experience conducting code reviews, debugging complex issues, and analyzing large codebases
  • Zero-to-one experience as a founding engineer or early employee at a startup
  • Remote work – complete tasks anytime, anywhere
  • Flexible– matched to assignments based on fit and availability
  • No guaranteed hours – workload may vary weekly
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