Indonesian Language Evaluator & Quality Auditor (Remote)

AI Trainer Jobs

United States

Remote

USD 34,000 - 55,000

Full time

2 days ago
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Job summary

AI Trainer Jobs is seeking a remote Indonesian Language Expert to review prompts and model outputs, applying a defined rubric and producing auditable feedback for retraining. This contractor role emphasizes careful annotation, clear reasoning, and weekly calibration with gold-standard examples.

Responsibilities include comparing responses, labeling inaccuracies, and flagging edge cases, with an expected commitment of about 10 hours per week on a flexibly remote schedule.

Qualifications

  • Prior evaluation, annotation, or human-rater experience on Indonesian generalist evaluation or adjacent content.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that names the issue and the rubric clause being applied.
  • Strong attention to detail and the ability to flag when a prompt itself is the problem.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Evaluate Indonesian generalist evaluation model outputs against a versioned rubric and assign severity tags.
  • Compare paired responses and pick the stronger answer with a written rationale.
  • Label hallucinations, instruction-following failures, and unsafe content with structured tags.
  • Capture ambiguous prompts and route them back to the program team for rubric updates.
  • Maintain reviewer-quality scores by calibrating against gold-standard examples each week.

Skills

Indonesian language
Annotation experience
Attention to detail
Clear reasoning

Job description

AI Trainer Jobs is seeking a remote Indonesian Language Expert to review prompts and model outputs, applying a defined rubric and producing auditable feedback for retraining. This contractor role emphasizes careful annotation, clear reasoning, and weekly calibration with gold-standard examples.

Responsibilities include comparing responses, labeling inaccuracies, and flagging edge cases, with an expected commitment of about 10 hours per week on a flexibly remote schedule.

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