AI Trainer - STEM (Life Sciences)

About the CompanyWe are seeking experienced Science, Technology, Engineering, and Mathematics (STEM) professionals to support the development of next-generation Artificial Intelligence systems.About the RoleAs an AI Coder / AI Response Evaluator, you will use your professional expertise to review, assess, and improve AI-generated responses across a range of scientific and engineering disciplines. This project is designed for professionals with real-world industry or advanced research experience who can apply technical judgment to evaluate the accuracy, quality, and practicality of AI-generated outputs. The assignment is fully remote, offers self-directed scheduling, and does not involve shift work, patient care responsibilities, or fixed working hours.ResponsibilitiesEvaluate AI-generated responses within your area of scientific or engineering expertise.Assess the technical accuracy, completeness, logical reasoning, and practical applicability of AI outputs.Review scientific analyses, engineering solutions, calculations, experimental methodologies, and technical explanations.Compare multiple AI-generated responses and determine which solution 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 responses align with accepted scientific and engineering principles.Collaborate with project guidelines while working independently in a fully remote environment.QualificationsProfessional Experience: Five or more years of substantive applied experience in a STEM field such as:Mechanical EngineeringElectrical EngineeringCivil EngineeringChemical EngineeringMaterials ScienceEnvironmental Science or EngineeringEnergy EngineeringPhysicsApplied SciencesRelated scientific, technical, or engineering disciplinesIndustry experience, government research, laboratory experience, product development, field engineering, consulting, or advanced academic research are all considered relevant. Undergraduate study alone does not count toward the minimum experience requirement.Required SkillsTechnical Expertise: Hands-on experience working with real-world scientific or engineering data, including:Instrumentation and test dataMeasurement and sensor outputsLaboratory records and experimental datasetsCAD models and engineering drawingsSimulation and modelling outputsScientific or analytical software outputsExperience using one or more relevant technical tools such as:MATLABPythonRSolidWorksAutoCADSPICEGIS platformsChromatography softwareSpectroscopy softwareOther discipline-specific engineering or scientific analysis toolsAnalytical Skills: Strong understanding of:Experimental designMeasurement uncertainty and error analysisStatistical reasoningData interpretationScientific methodologyCommon analytical and statistical pitfallsThe entrance assessment will evaluate these skills.Preferred SkillsMaster's degree, PhD, or equivalent advanced training in a STEM discipline.Experience publishing scientific or technical research.Experience reviewing technical reports, engineering documentation, scientific publications, or research outputs.Familiarity with modelling, simulation, validation, verification, or quality assurance activities.Previous exposure to AI-assisted workflows or machine learning technologies.Pay range and compensation packageCompensation: Paid Entrance Assessment (3-4 Hours) + Paid Hours Worked Throughout the Assignment.Equal Opportunity StatementWe are committed to diversity and inclusivity in our hiring practices.