Indonesian-Speaking STEM PhD — AI Safety Evaluator

HumanitApp

Tangerang

Hybrid

IDR 462,445,000 - 559,802,000

Full time

11 days ago
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Job summary

HumanitApp is hiring PhD-level scientists who are proficient bilingual speakers (English & Indonesian) to help make advanced AI models safer. You will apply scientific expertise to evaluate and strengthen model handling of specialized topics in Indonesian.

No prior AI/ML experience is required; training will be provided. Responsibilities include writing expert prompts, evaluating model responses for accuracy and safety, and applying structured guidelines to content classification.

Qualifications

  • A PhD in chemistry, biology, or a closely related field.
  • ongoing or completed
  • with the depth to write prompts across chemical, biological, or radiological and nuclear subject areas.
  • Native or near-native fluency in Indonesian, plus business-level written English.
  • Deep familiarity with modern laboratory and computational techniques in your subfield.
  • Sound judgment around scientific safety and the responsible handling of dual-use information.

Responsibilities

  • Write expert-level prompts in Indonesian across specialized scientific topics.
  • Evaluate and annotate model responses for scientific accuracy, helpfulness, and appropriate handling of sensitive content.
  • Apply structured guidelines to classify prompts and conversations.

Skills

Bilingual English/Indonesian
Scientific reasoning

Education

PhD in chemistry, biology or related field

Tools

Laboratory techniques
Computational techniques

Job description

HumanitApp is hiring PhD-level scientists who are proficient bilingual speakers (English & Indonesian) to help make advanced AI models safer. You will apply scientific expertise to evaluate and strengthen model handling of specialized topics in Indonesian.

No prior AI/ML experience is required; training will be provided. Responsibilities include writing expert prompts, evaluating model responses for accuracy and safety, and applying structured guidelines to content classification.

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