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STEM Professionals needed! Up to $125/hr

Planet Pharma · United States

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12-week direct engagement30-40 hours/wkTitle: AI Trainer - STEM (Life Sciences)Location: US/Canada/UKRole Overview:The workExperts evaluate and improve AI-generated responses across science and engineering topics, build challenging and realistic reasoning problems used to train AI systems (often drawn from their own professional practice), grade model outputs against fine-grained rubrics, and author expert-level, source-grounded work product. The work is long-form, self-directed, and fully remote. Clear written reasoning matters as much as technical depth.Must-havesSubstantive applied experience, roughly 5+ years, in a science or engineering discipline (mechanical, electrical, civil, materials, energy, chemical, environmental, physics, or similar). Real-world or advanced-research workHands-on practice with real data and tools: instrument data, test/measurement files, CAD models, simulation outputs, lab records - and the analysis tools that go with them (MATLAB/Python/R, SolidWorks/AutoCAD, SPICE, GIS, chromatography/spectroscopy software, etc.).Comfort with statistical and experimental reasoning (experiment design, measurement error, common statistical traps). The entry assessment leans on this.Genuine availability for 30–40+ hours/week across the full 12 weeks.Strong written communication; comfortable working independently and fully remote.General familiarity with AI/LLM tools (user-level is fine).The strongest candidates look likeHands-on individual contributors who currently do (or recently did) the technical work themselves - design, test, process, analysis - rather than solely managing others. Across our expert programs this is the single most reliable predictor of success.Independent, consultant, and fractional engineers/scientists. Self-employed and consulting profiles convert and retain dramatically better than any other profile in our adjacent programs.Small-company and startup practitioners, who tend to own their data and analysis end-to-end.Mid-to-late career professionals with real weekly capacity, including semi-retired engineers and scientists who reliably finish what they start.What performs, from our own recruitment dataThis program is new, so we do not yet have STEM-specific listing-title rankings. We will update this section with ranked titles as campaign data accrues. Cross-program signal in the meantime: hands-on practitioner framings consistently outperform executive-title and credential-led framings in listings.Target roles & titles (illustrative, not a checklist)Treat these as role families. Adjacent titles with comparable scope and seniority are welcome; please do not screen out a strong candidate because their exact title is missing from this list.Mechanical: Design, test, process, and manufacturing engineers; CAD/FEA practitioners; R&D engineersElectrical & electronics: Circuit/PCB designers, power and energy systems engineers, embedded/controls engineers, signal-processing engineersCivil, structural & materials: Civil/structural engineers, geotechnical engineers, materials engineers and scientistsChemistry & chemical engineering: Analytical/process/formulation chemists, chemical engineers, lab scientists with instrument-data depth (chromatography, spectroscopy)Earth & environmental sciences: Environmental engineers/scientists, geologists, hydrologists, sustainability/EHS professionals with quantitative practicePhysics & applied math: Applied physicists, computational modelers, simulation specialists, quantitative R&D scientists