Remote AI Scientist Evaluator — STEM Expert

Planet Pharma

United Kingdom

Remote

GBP 65,000 - 90,000

Full time

3 days ago
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Job summary

Planet Pharma seeks experienced STEM professionals to review and improve AI-generated responses across engineering and scientific domains. This fully remote role requires real-world industry or research experience and emphasizes technical judgment and high-quality feedback.

Applicants should be proficient in data analysis, experimental design, and methodological critique. The position offers flexible scheduling and no fixed hours, suitable for accomplished engineers and scientists seeking remote

Qualifications

  • Five or more years of substantive applied experience in a STEM field.
  • Experience across Mechanical, Electrical, Civil, Chemical, or related engineering disciplines.

Responsibilities

  • Evaluate AI-generated responses within your area of expertise.
  • Assess technical accuracy, completeness, and practical applicability of outputs.
  • Review analyses, engineering solutions, and experimental methodologies.
  • Compare AI responses to identify best professional-standard outputs.
  • Identify inaccuracies and methodological flaws; provide actionable feedback.
  • Apply domain knowledge to ensure alignment with scientific principles.
  • Collaborate with project guidelines while working independently remotely.

Skills

Instrumentation and test data
Measurement and sensor outputs
Laboratory records and experimental
CAD models and drawings
Simulation and modelling
Scientific software outputs

Education

Master's degree in STEM
PhD or equivalent

Tools

MATLAB
Python
RSolidWorks
AutoCAD
SPICE
GIS platforms
Chromatography software
Spectroscopy software

Job description

Planet Pharma seeks experienced STEM professionals to review and improve AI-generated responses across engineering and scientific domains. This fully remote role requires real-world industry or research experience and emphasizes technical judgment and high-quality feedback.

Applicants should be proficient in data analysis, experimental design, and methodological critique. The position offers flexible scheduling and no fixed hours, suitable for accomplished engineers and scientists seeking remote

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