Remote AI Response Evaluator - STEM Expert
Planet Pharma
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Job summary
Planet Pharma is seeking experienced STEM professionals to support AI evaluation and validation across multiple scientific and engineering disciplines. This fully remote role targets candidates with real-world industry or advanced research backgrounds who can apply technical judgment to evaluate AI-generated outputs.
The position emphasizes independent work, rigorous feedback, and adherence to professional engineering and scientific standards while operating within flexible scheduling and remote
Qualifications
- Five or more years of substantive applied experience in a STEM field (e.g., Mechanical/Electrical/Civil/Chemical Engineering, Physics, Materials Science, Environmental Science).
- Experience in industry, government research, lab work, or advanced academic research.
- Undergraduate study alone does not count toward the minimum experience requirement.
Responsibilities
- Evaluate AI-generated responses within your area of scientific or engineering expertise.
- Assess technical accuracy, completeness, and practical applicability of AI outputs.
- Review analyses, engineering solutions, calculations, and experimental methodologies.
- Compare multiple AI outputs and determine which best meets professional standards.
- Identify inaccuracies, methodological flaws, statistical errors, and unsupported conclusions.
- Provide clear written feedback explaining evaluation decisions and recommended improvements.
- Apply domain expertise to ensure alignment with established scientific principles.
- Collaborate with project guidelines while working independently in a fully remote environment.
Skills
Education
Tools
Job description
Planet Pharma is seeking experienced STEM professionals to support AI evaluation and validation across multiple scientific and engineering disciplines. This fully remote role targets candidates with real-world industry or advanced research backgrounds who can apply technical judgment to evaluate AI-generated outputs.
The position emphasizes independent work, rigorous feedback, and adherence to professional engineering and scientific standards while operating within flexible scheduling and remote
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