Vim Workflow AI Training Specialist

The Work

You will create realistic computer-based tasks that show how Vim is used for coding, documentation, text editing, system administration, and developer productivity. You will prepare the files, folders, references, terminal environment, and configuration needed for each task.

You will then complete the workflow on your computer, check that the setup works, confirm that the result is accurate and clear, and record the process for AI training.

• Design challenging Vim tasks based on practical developer and terminal workflows.
• Use Vim modes, motions, operators, search and replacement, macros, buffers, windows, tabs, registers, plugins, and configuration.
• Document each task and workflow clearly in English.
• Validate task setups and review completed workflows for accuracy and clarity.
• Use screen recording tools to capture the work for AI training.

What It Pays and Takes

This is a remote, part-time contractor role. Work is self-directed and coordinated across time zones.

• Pay: Up to $20 per hour.
• Time: 20 or more hours per week.
• Location: Open to candidates in Bangladesh, India, and Pakistan.
• Language: English proficiency at B2 level or higher.
• Required: Strong hands-on Vim experience for text editing, code editing, terminal workflows, configuration, or developer productivity.
• Required: Comfort with computers, terminals, files, folders, configuration files, and screen recording tools.
• Required: Ability to create realistic tasks, follow detailed guidelines, document workflows clearly, and work carefully.
• Work style: Reliable, self-directed work in a remote contractor setting.
• Helpful experience: Coding, Linux, system administration, DevOps, technical writing, quality assurance, or documentation.

How It Works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI Training Work

AI training is the human work behind systems that learn from examples, including recorded computer tasks, written instructions, and reviewed workflows. People with practical technical skills help make those examples accurate and useful for training AI models.