Remote STEM Researcher for AI Problem-Solving

Synthires

Santa Cruz de Tenerife

A distancia

EUR 74.000 - 148.000

A tiempo parcial

14 días+

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Descripción de la vacante

Synthires is seeking a STEM Expert (MSc./PhD) for remote, part-time engagement. Candidates will apply deep expertise in a STEM domain to solve complex problems, review AI-generated solutions, and validate calculations with Python-based workflows.

Flexible schedule and output-based payment for project tasks that meet specifications are provided. Ideal candidates have strong quantitative skills, experience with Python and coding workflows, and the ability to contribute across scientific

Formación

  • Strong expertise in at least one STEM field (chemistry, biology, mathematics, physics, geoscience, environmental science, or robotics).
  • Proficiency in Python or another programming language.
  • Strong scientific, mathematical, or quantitative problem-solving skills.
  • Experience using coding agents in technical workflows.

Responsabilidades

  • Solve complex scientific, mathematical, and technical problems within your area of expertise.
  • Review AI-generated solutions for scientific, mathematical, and factual accuracy.
  • Identify incorrect assumptions, reasoning errors, and overlooked constraints.
  • Use Python or other programming languages for calculations, simulations, and validation.
  • Provide rigorous, technically accurate solutions and feedback.

Conocimientos

STEM problem-solving
Data analysis
Scientific reasoning

Educación

MSc/PhD

Herramientas

Python
NumPy
Pandas
SciPy
Jupyter

Descripción del empleo

Synthires is seeking a STEM Expert (MSc./PhD) for remote, part-time engagement. Candidates will apply deep expertise in a STEM domain to solve complex problems, review AI-generated solutions, and validate calculations with Python-based workflows.

Flexible schedule and output-based payment for project tasks that meet specifications are provided. Ideal candidates have strong quantitative skills, experience with Python and coding workflows, and the ability to contribute across scientific

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