Remote PhD STEM Problem Scientist – Create & Evaluate

OpenTrain AI, Inc.

United States

Remoto

USD 62.000 - 124.000

Part-time

11 ore fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

OpenTrain AI, Inc. seeks experts to write challenging STEM problems based on their research, explain solutions, set grading criteria, and review others’ work.

Remote hourly contract (part-time) with pay ranging from $45 to $90 per hour. Applicants must hold a PhD in a STEM field and have hands-on research experience across academic, industrial, or national labs, with the ability to justify technical judgments for replication.

Competenze

  • A PhD in a STEM field is required.
  • Hands-on research experience in wet-lab, academic, industrial, national lab, computational, or theoretical work.
  • Must be able to explain and support technical judgments so other researchers can verify them.
  • Publications or research contributions are advantageous.
  • AI training or expert data project experience is helpful but not required.

Mansioni

  • Create and evaluate difficult technical problems based on your STEM research area.
  • Set objective criteria so researchers can judge answers.
  • Review problems from other contributors for technical accuracy and sound methods.
  • Flag problems that are ambiguous or unsuitable for evaluation.
  • Identify plausible but incorrect approaches and explain subtle errors.

Conoscenze

Strong technical judgment
Explain and defend judgments

Formazione

PhD in STEM field

Descrizione del lavoro

OpenTrain AI, Inc. seeks experts to write challenging STEM problems based on their research, explain solutions, set grading criteria, and review others’ work.

Remote hourly contract (part-time) with pay ranging from $45 to $90 per hour. Applicants must hold a PhD in a STEM field and have hands-on research experience across academic, industrial, or national labs, with the ability to justify technical judgments for replication.

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