Build and evaluate advanced self-hosted n8n workflows for AI training, integrations, scraping, and automation. This global contract pays $15-$45 per hour and requires 20+ hours each week.
The work
You will help train and evaluate AI systems that build complex n8n automation pipelines. The work combines prompt and response writing, technical evaluation, coding, and improvement of AI-generated workflows.
- Create prompts that test n8n workflow design, including nodes, execution patterns, error handling, retries, and data parsing.
- Review and rate multi-step automation pipelines against clear technical criteria.
- Improve AI-generated workflows for reliability, scalability, performance, sequencing, rate limits, and timeouts.
- Design automations that connect multiple services through APIs, webhooks, OAuth, API keys, and mapped data.
- Work on use cases such as AI content workflows, lead generation and outreach systems, and web scraping pipelines.
- Evaluate scraping workflows, including extraction reliability, parsing, and structured or unstructured data handling.
- Process and transform JSON, CSV, and HTML data, including validation and normalization.
- Use your n8n expertise to support prompt writing, evaluation and rating, fine-tuning, reinforcement learning from human feedback, and coding tasks.
What it pays and takes
This is a flexible, project-based contractor role for an intermediate-level n8n workflow developer. You should be able to work independently and communicate in written English at B2 level or higher.
- Pay: $15-$45 per hour.
- Time: 20+ hours per week.
- Engagement: Part-time contractor work that is non-permanent and project-based.
- Location: Open worldwide.
- English: Conversational English, with B2+ written communication.
- Required: Proven hands-on experience building advanced n8n automations in self-hosted environments.
- Required: Experience setting up and maintaining self-hosted n8n with Docker, environment variables, credentials, and basic operations.
- Required: Strong knowledge of n8n workflow logic, nodes, execution modes, and troubleshooting failed runs.
- Required: Experience designing resilient workflows with retries, deduplication, idempotency, error branches, logging, and alerts.
- Preferred: A written portfolio or examples of scalable automations and end-to-end workflows.
How it works
Apply on OpenTrain. The employer reviews applications there.
About AI training work
AI training is the human work behind systems that learn from examples, including writing prompts, rating responses, reviewing code, and testing automation behavior. OpenTrain AI helps people find and build careers in this field, where technical experience is used to improve how AI systems work.