What Are AI Trainer and AI Evaluator Jobs, and Who Can Do Them?

Plants.work · · career-tips
What Are AI Trainer and AI Evaluator Jobs, and Who Can Do Them?

Meet the jobs that teach and evaluate AI with human expertise: why models still need people, the skills required, and how to tell real jobs from scams.

You may have seen an unusual job ad like "Thai language experts wanted to evaluate AI answers, work from home" and wondered whether it's real. The answer: this kind of work does exist and is an important part of AI development, but scammers also borrow its name. This article helps you understand both sides.

What are AI Trainers and AI Evaluators?

An AI Trainer creates examples of good answers for a model to learn from, such as writing model answers to Thai-language questions or explaining correct steps to solve a problem. An AI Evaluator scores or ranks AI answers against set criteria such as accuracy, safety and natural language. In practice the two roles are often combined and may go by other names, such as data annotator, rater or AI tutor.

Why AI models still need people

OpenAI's InstructGPT research, published in 2022, is a clear example. The researchers had labelers write demonstrations of the desired behaviour and used them to fine-tune the model, then had labelers rank the model's outputs to train it further with reinforcement learning from human feedback (RLHF). In human evaluations, outputs from the 1.3B-parameter model trained this way were preferred to outputs from the much larger 175B GPT-3. The paper also says the contractors were hired through Upwork and ScaleAI, which reflects that this work is usually done on project-based contracts.

A typical day looks like this: the system shows a question with two AI answers. You choose the better one, score it against criteria such as accuracy, completeness and safety, and write a short reason. Some tasks ask you to write the best answer yourself from scratch.

Levels of work

General level

Expert level

Language and culture level

Skills that make you good at this work

For example, a Thai teacher who has marked students' writing for years can already tell good language from odd language, and an accountant can check whether AI explains financial statements correctly. Your existing expertise is a key asset, and you don't need to know how to code to start.

Things to watch out for

AI gets better because people who really know tell it what a good answer looks like.

How to get started

  1. Be clear about your expertise, such as Thai language, accounting, law or code.
  2. Practise evaluating AI answers yourself: ask questions in your field and write down what is right or wrong and why.
  3. Update your resume to show reviewing, writing and attention to detail.
  4. Apply only to jobs where you can verify the company, and read the contract before starting.
  5. Deepen your understanding of how AI works with AI Basics Everyone Should Know.

Want to see which AI-related work your existing skills could lead to? Talk to the AI Career Assistant, then search related roles on the Plants.work jobs page.