LinkedIn Is Hiring A Software Engineering Ai Trainer

We are looking for talented Software Engineers to join our AI Labor Marketplace as project consultants. This role offers the flexibility of contract work with a focus on cutting-edge AI evaluation tasks. 🚀

Overview

Position: Part-time, project-based expert evaluation work

Work Arrangement: Remote

Languages Required: English and Polish

About the Role

As a contributor, you will design and assess realistic software engineering tasks such as bug fixing, feature development, refactoring, and test generation. Your work will involve creating complex coding scenarios and reviewing peer submissions for quality, accuracy, and realism. This is a project-based consulting position where you control your schedule and tools, and you may work for multiple clients concurrently. 💻

Responsibilities

• Design and implement multi-file coding tasks covering bug fixes, feature development, refactoring, and testing
• Write clear natural-language specifications and reference implementations
• Develop and extend unit and integration test suites
• Review peer-generated tasks for correctness, clarity, and realism
• Identify edge cases, ambiguities, and potential failure modes
• Ensure alignment between specifications, code, and expected outputs

Expected Outcomes

• High-quality, production-realistic coding tasks 🎯
• Complete and correct reference implementations ✅
• Robust test coverage and validation artifacts 🧪
• Structured, actionable peer review feedback 📝

Qualifications

• Advanced professional written proficiency in English and Polish
• 3–5 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 in production systems
• Experience with testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing
• Proven ability to debug and navigate large, multi-file codebases
• Experience with code reviews, refactoring, and production migrations
• Prior experience with data annotation, evaluation, or structured labeling for AI/ML systems
• Experience defining solution trajectories and writing evaluation rubrics
• Familiarity with LLM evaluation, prompt design, or benchmarking workflows

Additional Information

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