AI Workflow Engineer, LLM Integration And Prompt Engineering

You will help integrate large language models into automation workflows. Your work will focus on making AI systems produce more useful, reliable results through better prompts, structured inputs, and repeated testing.

You will also review generated content and help define the standards used to judge its quality. Projects may include content generation, communication, and personalized outreach flows.

• Design real-world AI automation pipelines.
• Write, test, and refine prompts for large language models.
• Create and apply evaluation criteria for model outputs.
• Review generated responses for quality and reliability.
• Improve workflows through input structuring and iterative refinements.
• Work with model evaluation, fine-tuning, human feedback, and function calling tasks.

What it pays and takes

This is a part-time contractor role for someone with intermediate experience in LLM integrations and prompt engineering.

• Pay: $15 to $45 per hour.
• Time: 20 or more hours per week.
• Location: Worldwide and fully remote.
• Work arrangement: Part-time contractor.
• Experience: Intermediate level.
• Focus: LLM integrations, prompt engineering, workflow automation, output evaluation, and coding-related AI tasks.
• Language requirements: None listed.

How it works

Apply on OpenTrain. The employer reviews applications there.

About AI training work

AI training work is the human work behind systems that generate and understand text, code, and other content. People write examples, test model behavior, and rate outputs so AI systems can become more useful and reliable.