[Hiring] STEM Expert @24-MAG

Role Description

We are sharing a specialised part-time consulting opportunity for experienced STEM and scientific-domain professionals with deep expertise in at least one technical field and strong scientific reasoning, quantitative problem-solving, data analysis, and Python skills to contribute to an advanced AI training and technical evaluation project.

Selected professionals will:

• Solve, review, and validate challenging scientific or mathematical problems within their area of expertise.
• Develop reproducible reference solutions.
• Assess AI-generated answers for technical correctness.

Key Responsibilities

• Scientific & Technical Problem Solving
  • Solve complex scientific, mathematical, or technical problems within your primary area of expertise.
  • Apply rigorous reasoning to assumptions, constraints, edge cases, and potential sources of error.
  • Develop technically defensible solutions grounded in appropriate scientific principles.
  • Interpret equations, experimental results, datasets, technical diagrams, or scientific literature where relevant.
  • Perform sanity checks to ensure analytical and numerical results are physically or mathematically plausible.
• AI-Generated Solution Evaluation
  • Review AI-generated technical answers for factual, mathematical, and scientific correctness.
  • Identify incorrect assumptions, reasoning errors, missing constraints, and subtle technical mistakes.
  • Assess whether conclusions are adequately supported by calculations, evidence, or scientific reasoning.
  • Compare alternative solution approaches and determine which methods are most appropriate.
  • Explain corrections and technical weaknesses clearly and precisely.
• Python & Scientific Computation
  • Use Python for scientific computation, data analysis, simulations, or solution validation.
  • Apply relevant tools such as NumPy, SciPy, pandas, SymPy, Jupyter, or domain-specific scientific libraries.
  • Develop reproducible computational workflows supporting analytical conclusions.
  • Validate calculations through numerical or symbolic methods where appropriate.
  • Document computational reasoning sufficiently for independent review.
• Reference Solutions & Technical Communication
  • Develop clear, reproducible reference solutions for complex STEM problems.
  • Document assumptions, methods, calculations, and final conclusions systematically.
  • Explain technical concepts and corrections in clear written language.
  • Distinguish well-supported conclusions from uncertain or unsupported claims.
  • Maintain strong standards of accuracy, reproducibility, and technical clarity across deliverables.

Qualifications

• Deep expertise in at least one relevant STEM or scientific domain.
• Relevant disciplines may include Chemistry, Biology, Mathematics, Physics, Earth Science, Geoscience, Environmental Science, Robotics, or closely related quantitative fields.
• Practical proficiency with Python.
• Strong scientific, mathematical, or quantitative problem-solving skills.
• Ability to reason carefully about assumptions, constraints, edge cases, and sources of error.
• Experience validating, reviewing, or troubleshooting scientific or technical work.
• Ability to interpret quantitative data, technical material, and scientific evidence.
• Strong written communication skills and ability to explain complex technical concepts clearly.
• Expertise may come from academic research, industry, teaching, engineering, independent technical work, or other demonstrated professional experience.
• A specific degree or fixed number of years of experience is not required where strong domain expertise can otherwise be demonstrated.
• No prior experience in AI training or model evaluation is required.

Engagement Details

• Part-time independent contractor engagement.
• Fully remote and open to candidates worldwide.
• Compensation: $100–$150/hour.
• Expected commitment: approximately 15 hours per week.
• Schedule is flexible, including the option to work evenings or weekends.
• Compensation is output-based, with payment made for tasks that meet project specifications.
• Minimum submission requirements apply.
• Work will involve scientific problem solving, AI-output evaluation, Python-based analysis, validation, and reference-solution development.
• The selection process may include screening questions, an approximately 30-minute AI interview, and hiring-manager review.
• Selected professionals should be prepared to begin their first task within approximately 24–48 hours of completing onboarding.
• Roles are typically filled within approximately 48 hours.
• Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, research group, or other third party.

Company Description

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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