Question 1

What types of LLM evaluation can I hire for on OpenTrain?

Accepted Answer

You can hire for golden dataset creation, pairwise preference ranking, rubric-based scoring, output quality review, LLM-as-judge validation, and more. Whether you need human baselines for benchmarks, preference data for model comparison, or ongoing quality monitoring, you can find experienced evaluators in our network.

Question 2

What domains and languages do your evaluators cover?

Accepted Answer

Our network includes domain experts across medicine, law, finance, software engineering, science, creative writing, and more. For multilingual evaluation, we have native speakers in dozens of languages who can assess fluency, cultural accuracy, and localized quality.

Question 3

What evaluation tools can I hire AI Trainers into?

Accepted Answer

AI Trainers work directly in your stack. This includes evaluation platforms, internal tooling, or any custom workflow you use. OpenTrain is tool-agnostic, so you invite hires to your own environment and maintain full control over access and data.

Question 4

How do I maintain consistency across multiple evaluators?

Accepted Answer

Quality control is managed by you and your team. Many clients establish calibration sets, run inter-rater reliability checks, and provide detailed rubrics before production work begins. OpenTrain gives you the tools to share guidelines, communicate feedback, and manage your team from one place.

Question 5

How does pricing work for LLM evaluation projects?

Accepted Answer

Pricing is set between you and the AI Trainers you hire. Rates vary based on domain expertise, task complexity, and turnaround requirements. 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.

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