Senior AI Evaluator (STEM) — Remote

Planet Pharma; Wolverhampton; On-site; GBP 55,000 - 90,000; Full time

Job summary

Planet Pharma is seeking experienced STEM professionals to assess and improve AI-generated responses across engineering disciplines. This fully remote role offers self-directed scheduling and no fixed hours, focusing on technical judgment to evaluate accuracy, completeness, and practicality of AI outputs.

Candidates should have five or more years of substantive STEM experience, with expertise in mechanical, electrical, civil, chemical, or related fields.

Qualifications

• Five+ years of substantiative applied STEM experience.
• Experience reviewing technical reports, engineering documentation, or research outputs.
• Experience with modelling, simulation, validation, or quality assurance activities.

Responsibilities

• Evaluate AI-generated responses within your STEM domain.
• Assess accuracy, completeness, and practical applicability of AI outputs.
• Review analyses, engineering solutions, calculations, and methodologies.
• Compare AI responses and select best solutions per professional standards.
• Identify inaccuracies, flaws, and unsupported conclusions.
• Provide clear written feedback and improvement recommendations.
• Work independently in a fully remote environment.
• Collaborate with project guidelines while maintaining independence.

Skills

STEM experience

Data analysis

Python

MATLAB

Experiment design

Analytical reasoning

Education

Master's degree or PhD

Tools

MATLAB

Python

AutoCAD

SolidWorks

SPICE

GIS platforms

Job description

Planet Pharma is seeking experienced STEM professionals to assess and improve AI-generated responses across engineering disciplines. This fully remote role offers self-directed scheduling and no fixed hours, focusing on technical judgment to evaluate accuracy, completeness, and practicality of AI outputs.

Candidates should have five or more years of substantive STEM experience, with expertise in mechanical, electrical, civil, chemical, or related fields.