A batch has 98% accuracy against reviewed references but misses every critical item. Would you accept it?

Instruction: Calculate the supplied metrics exactly. All 1,000 reference labels are already adjudicated; distinguish this batch's authorized correction from evidence that the original annotation process can handle future critical items.

Context:

Exposes class imbalance, reconciles a known defective batch and separates corrected delivery from validation of the ongoing annotation process.

Fictional senior case

A batch contains 1,000 items: 980 in the common class and 20 in the critical class. For this exercise, all reference labels have been reviewed and adjudicated under the applicable guideline. An annotator labels every item common.

The client's proposed use relies on identifying critical items for a separate review workflow. No minimum acceptance threshold is specified. Calculate overall accuracy and critical-class recall, then recommend what to deliver, withhold or investigate. Explain what evidence could change your recommendation.

Updated

Prepare a stronger answer

The overall accuracy is 980 divided by 1,000, or 98%. Critical-class recall is zero divided by 20, or 0%. Every critical item was missed. I'd report both numbers and would not accept the submitted labels for a workflow that relies on finding critical items...

This member answer includes:

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  • • Guidance for adapting the answer to your experience
  • • Common mistakes and how to avoid them
  • • Answered interviewer follow-ups
  • • Strong, adequate and weak assessment criteria
  • • A follow-up that changes the scenario constraints
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Your preparation path

Choose the track that matches the role. Work through its questions in order, then explain each answer in your own words.

1. Entry level annotation

Apply guidelines, label text and spans, and explain a small practice project.

  1. How would you explain the data annotator role and the kind of work you would expect to do? Free sample
  2. How would you learn a new annotation guideline before starting your first batch? Member answer
  3. Apply a sentiment guideline to four short comments. Which labels would you choose, and why? Free sample
  4. Mark two location mentions using the exact character-offset contract. How would you check your result? Free sample
  5. Walk me through an annotation or quality-checking project you can discuss, including your own contribution and limits. Member answer

2. AI response evaluation

Compare responses using separate criteria for correctness, instruction following, and writing quality.

  1. Compare two AI responses against a supplied fact sheet. Which response is better under the rubric? Free sample
  2. One response is accurate but breaks the required format; another follows the format but contains a false claim. How would you rate them? Member answer
  3. Write a short rating rationale that identifies the decisive error without restating both responses. Member answer
  4. An AI response includes a factual claim you cannot verify from the supplied sources. What would you do? Member answer
  5. Two responses have different strengths and neither clearly wins. How would you apply the ranking rules? Member answer

3. Senior review and quality

Work through disagreement, missed critical cases, changing guidelines, review capacity, and reviewer calibration.

  1. Two experienced reviewers disagree repeatedly, and the deadline leaves little time for adjudication. What would you recommend? Free sample
  2. A batch has 98% accuracy against reviewed references but misses every critical item. Would you accept it? Member answer
  3. A labeling rule changes halfway through a delivery. Would you relabel old work, split the dataset or delay the release? Member answer
  4. The delivery requires review of every item, but the available reviewers cannot finish by the deadline. What would you change? Member answer
  5. A reference answer appears to contradict the written rule, and workers are being penalized for disagreeing with it. What would you do? Member answer

Try the 20 minute mock assessment. Use the fictional cases to practice; the self-check is not an employer's hiring benchmark.

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