Meridial
Backend Engineering Specialist - Freelance AI Trainer Project
About this role
Freelance Backend Engineering Specialist role focused on training AI models by reviewing and annotating AI-generated code. You'll evaluate backend outputs for correctness, efficiency, and best practices while helping refine prompts and engineering guidelines for next-generation AI systems.
What you'll do
- Review and annotate AI-generated backend code for technical accuracy
- Assess code outputs for logical soundness, efficiency, and scalability
- Identify and document error patterns in AI-generated solutions
- Provide expert feedback on backend engineering best practices
- Collaborate on refining prompts and evaluation methodologies
- Help develop engineering guidelines for AI model training
What they're looking for
- Backend engineering (Python, Java, Go, or C++)
- Web frameworks (Django, Spring, Express)
- SQL and NoSQL databases
- API design
- Distributed systems
- Cloud services
- Docker/Kubernetes containerization
- Problem-solving and attention to detail
Benefits
- Remote work opportunity
- Flexible freelance engagement
- Hourly rate of $8-$65 based on experience
- Work with cutting-edge AI technology
- Contribute to AI model development
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Meridial
Meridial trains and improves advanced AI models through expert evaluation and feedback across infrastructure, software engineering, machine learning, and language domains. The company hires experienced freelance specialists—including software engineers, ML experts, and language specialists—to test AI reasoning, identify failure modes, and provide detailed training data to enhance model capabilities.
View all jobs at MeridialLikely interview questions
- Walk us through your experience evaluating and reviewing code for correctness, efficiency, and scalability. Can you describe a specific example where you identified a significant flaw in backend logic?
- You'll be assessing AI-generated code outputs across Python, Java, Go, or C++. Which of these languages are you most proficient in, and how would you approach evaluating code quality in a language you're less familiar with?