Question 1

What types of function calling work can AI Trainers handle?

Accepted Answer

AI Trainers on OpenTrain can handle the full range of function calling work, including tool selection labeling, argument annotation with schema-valid parameters, multi-step trace review, error recovery examples, preference ranking between tool calls, and safety testing for prompt injection or unsafe actions. Whether you need training data creation, evaluation, or QA review, you can find qualified specialists for the job.

Question 2

How are AI Trainers vetted for function calling projects?

Accepted Answer

All AI Trainers go through screening for structured output accuracy, schema comprehension, and relevant experience. For function calling work specifically, we look for candidates who understand agent workflows, can produce valid JSON arguments, and have experience with the types of tools and APIs your project requires. You can also review work history and run your own assessments before hiring.

Question 3

What tools or platforms can AI Trainers work in?

Accepted Answer

AI Trainers work directly in your stack. This includes agent frameworks, eval platforms like Argilla or Scale, custom annotation tooling, or any other system you use. OpenTrain is tool-agnostic, so you invite hires to your own environment and maintain full control over access and data.

Question 4

Can AI Trainers handle complex multi-step agent workflows?

Accepted Answer

Yes. Many AI Trainers on the platform have experience reviewing and annotating multi-step tool chains, where agents call multiple functions in sequence to complete a task. This includes labeling correct tool ordering, evaluating intermediate outputs, and creating training examples for recovery when a step fails.

Question 5

How does pricing work for function calling projects?

Accepted Answer

Pricing is set between you and the AI Trainers you hire. Most function calling work is priced hourly, with rates varying based on complexity and domain expertise required. You can review proposals, compare rates, and negotiate directly. Payments are handled through OpenTrain with funds released upon your approval.

Question 6

What is the difference between direct hire and managed service?

Accepted Answer

Direct hire gives you full control. You post a job, review proposals, hire AI Trainers, and manage the work yourself using OpenTrain's built-in tools. Managed service is for larger or ongoing projects where you want OpenTrain to handle recruiting, quality management, and delivery end-to-end. Request a quote to learn more.

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