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Software Engineering AI Trainer - Remote

Posted 2 days ago
Software Development
Part Time
Peru

Overview

Anyone AI is recruiting skilled software engineers to work as project consultants, focusing on designing and evaluating realistic software engineering tasks.

In Short

  • Part-time, project-based expert evaluation work
  • Remote work opportunity
  • Contributors will design and evaluate software engineering tasks
  • Work includes creating coding scenarios and reviewing peer submissions
  • Consultants control their own schedule and tools
  • Engagement on a per-project basis
  • Requires advanced proficiency in English
  • 3–7 years of software engineering experience
  • Strong proficiency in Python and JavaScript/TypeScript
  • Experience with testing frameworks and debugging

Requirements

  • Advanced professional written proficiency in English
  • 3–7 years of professional software engineering experience
  • Strong proficiency in Python and JavaScript/TypeScript
  • Working knowledge of Java, C#, or Go
  • Backend or full-stack development experience
  • Experience with testing frameworks (e.g., pytest, Jest)
  • Proven ability to debug large codebases
  • Experience with code reviews and production migrations

Benefits

  • Flexible work schedule
  • Remote working environment
  • Opportunity to work on diverse projects
  • Control over tools and methodologies used
  • Collaboration with other skilled professionals

A.A

Anyone AI

Anyone AI is a forward-thinking technology company focused on developing innovative software solutions. They specialize in creating training data for large language models (LLMs) and are committed to delivering high-quality engineering work. With a fully remote work environment, Anyone AI offers flexible part-time opportunities for skilled software engineers and coding experts proficient in languages such as Javascript, React, Node.js, Go, or C++. The company values strong software engineering fundamentals, problem-solving skills, and the ability to work independently in dynamic and production-like codebases.

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