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AI Trainer - STEM

  • Canada

Contract

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Job details

Job type
Contract
Experience
2+ years of practical experience in: Physics, Chemistry, Biology, Mathematics
Posting language
English
Posted

Original job description

Summary

We're looking for experienced STEM professionals to help evaluate and improve cutting-edge AI systems by testing how they perform on real-world scientific and engineering challenges.

Responsibilities:

  • You'll create realistic technical scenarios based on your professional experience and assess how frontier AI models respond. This could include:
  • Data analysis and interpretation
  • Experimental design and validation
  • Engineering calculations and design reviews
  • Failure investigations and root cause analyses
  • Technical reporting and documentation
  • Simulation review and verification
  • You'll compare AI-generated outputs against professional standards, identify errors, and help build more capable and reliable AI systems.

Requirements:

  • 2+ years of practical experience in: Physics, Chemistry, Biology, Mathematics
  • Bachelor's degree
  • Strong analytical and problem-solving skills
  • Excellent written English
  • Experience working with real-world data, experiments, testing, simulations, or technical documentation
  • Familiarity with Python, MATLAB, R, or similar tools is a strong advantage
  • Experience using AI/LLM tools

ABOUT PLANET PHARMA

Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its headquarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.

Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognized by FORBES as the 17th best professional staffing firm and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing.

We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.

www.planet-pharma.com

TO APPLY

Please click ‘apply’ or contact Ann Salvador. (Recruitment Sourcer) at Planet Pharma for more information:

E: ASalvador@planet-pharma.com

Linkedin: www.linkedin.com/in/ann-salvador/

More about this job

Responsibilities

Create realistic STEM scenarios based on professional experience and evaluate how AI models respond to scientific and engineering challenges. Compare AI-generated outputs with professional standards, identify errors, and contribute to improving AI system capability and reliability.

Requirements

Requires at least two years of practical experience in physics, chemistry, biology, or mathematics, along with a bachelor's degree. Candidates should have strong analytical and problem-solving skills, excellent written English, and experience with real-world data, experiments, testing, simulations, or technical documentation; familiarity with Python, MATLAB, R, or AI/LLM tools is advantageous.

Skills

  • Data Analysis
  • Data Interpretation
  • Experimental Design
  • Experimental Validation
  • Engineering Calculations
  • Design Reviews
  • Failure Investigation
  • Root Cause Analysis
  • Technical Reporting
  • Technical Documentation
  • Simulation Review
  • Simulation Verification
  • Analytical Problem-Solving
  • Python
  • MATLAB
  • R

Visa sponsorship

Not detected in the job text

Hiring contact

Ann Salvador

Hiring contact email

ASalvador@planet-pharma.com

Categories

  • Science & Research
  • Technology
  • Engineering
  • Data & Analytics

Keywords

  • Artificial Intelligence
  • Large Language Models
  • STEM
  • Physics
  • Chemistry
  • Biology
  • Mathematics
  • Data Analysis
  • Data Interpretation
  • Experimental Design
  • Validation
  • Engineering Calculations
  • Design Reviews
  • Failure Investigation
  • Root Cause Analysis
  • Technical Reporting
  • Technical Documentation
  • Simulation
  • Testing
  • Real-World Data
  • Python
  • MATLAB
  • R
  • Professional Standards
  • AI Evaluation

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