Judging two AI answers side by side: the evaluator’s method

· a.pannella87

Last updated: 27 October 2026 · OpenJob editorial team

To judge two AI answers, read the prompt first and decide what a good answer must contain. Then score each answer against the rubric one dimension at a time: accuracy, instruction following, completeness, safety and style. Check facts you can verify, and write a short justification that names the decisive difference.

Key points

  • Decide what a good answer needs before reading either answer.
  • Score one rubric dimension at a time to avoid the halo effect.
  • If you cannot verify a fact, say so instead of guessing.
  • A good justification names the decisive difference in one or two sentences.

Many evaluation tasks show you a prompt and two answers and ask which is better. People new to the work tend to pick the answer they like. Reviewers want to see that you picked the answer the rubric prefers, and that you can say why in two or three sentences.

Read the prompt before either answer

Write down, in your head or in the notes field, what a good answer must contain. If the user asked for a list of three items, an answer with five is wrong however elegant it is. Doing this first stops the more fluent answer from setting your standard.

Score against the rubric, one dimension at a time

Most rubrics separate accuracy, instruction following, completeness, safety and style. Rate each answer on one dimension before moving to the next. The common failure is a “halo”: an answer that sounds confident gets credit for accuracy it has not earned.

Check facts you can check

If an answer states a date, a formula or a legal rule, verify it where the guidelines allow. If you cannot verify it, say so in your justification rather than guessing either way.

Write the justification for the reviewer

A useful justification names the decisive difference: “B follows the requested format and A does not; both are accurate.” Avoid adjectives that carry no information, such as “better written”.

Where prompt evaluation differs

Some projects ask you to judge the prompt rather than the answers: is it clear, is it realistic, would it actually test the model? The same discipline applies. Decide what the prompt is trying to test, then check whether it does.

Who is hiring for this now

Evaluation work is spread across specialist listings. Examples on OpenJob include the Clinical Mental Health Expert for conversation evaluation, and language-specific roles such as Italian Language Expert.

Open roles you can apply to from anywhere

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Frequently asked questions

What is the halo effect in AI evaluation?

It is giving an answer credit it has not earned because it sounds confident or well written. A fluent answer can still be inaccurate or ignore the instructions. Rating each rubric dimension separately, starting with accuracy and instruction following, keeps style from deciding the result.

How long should a justification be?

Usually two or three sentences. Name the decisive difference, for example that one answer follows the requested format and the other does not, and mention any factual error. Avoid empty adjectives such as better written, which give the reviewer no information.

What if both AI answers are wrong?

Say so. Most rubrics let you rate both answers low or mark them as equally poor. Explain the main error in each. Choosing the less bad answer without comment hides information the project needs, and reviewers usually prefer an honest verdict.

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