Research Scientist | Remote

Crossing Hurdles; France; Remote; EUR 74,000 - 148,000; Full time

Job summary

Crossing Hurdles is seeking a STEM Expert for remote, contract work. The role focuses on solving advanced scientific and mathematical problems, and evaluating AI-generated outputs for accuracy and rigor.

The position offers hourly compensation and a commitment of 10-40 hours per week, with remote work flexibility and collaboration across time zones.

Qualifications

• Strong expertise in at least one STEM domain.
• Experience with Python and scientific libraries.
• Ability to review AI-generated solutions for accuracy.

Responsibilities

• Solve complex scientific, mathematical, or technical problems within your domain of expertise.
• Review AI-generated solutions for factual, mathematical, and scientific correctness.
• Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.

Skills

STEM domain expertise

Python programming

Quantitative problem solving

Mathematical modeling

Tools

Python

NumPy

SciPy

Pandas

SymPy

Jupyter

Job description

• Solve complex scientific, mathematical, or technical problems within your domain of expertise.
• Review AI-generated solutions for factual, mathematical, and scientific correctness.
• Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.

Position: STEM Expert

Type: Contract

Compensation: $60 - $120/hour

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

• Solve complex scientific, mathematical, or technical problems within your domain of expertise.
• Review AI-generated solutions for factual, mathematical, and scientific correctness.
• Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.

Requirements

• Strong expertise in at least one relevant STEM or scientific domain.
• Practical proficiency with Python or other coding languages.
• Strong scientific, mathematical, or quantitative problem-solving ability.
• Familiarity with Python tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries.