Environmental Engineering - AI Data Trainer

About The JobAt Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.Location: RemoteYou'll challenge advanced language models on topics like water and wastewater treatment, air quality management, EHS and compliance, and solid and hazardous waste management — documenting every failure mode so we can harden model reasoning.OrganizationAlignerrPositionEnvironmental Engineering - AI Data TrainerTypeHourly ContractCompensation$35–$60 /hourLocationRemoteCommitment10–40 hours/weekWhat You'll DoDevelop Complex Problems: Design advanced environmental engineering problems across domains like contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA).Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as golden responses.Technical Auditing: Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and adherence to regulatory standards (e.g., EPA, ISO 14001).Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts—and provide structured feedback to improve the model's "thinking" process.RequirementsAdvanced Degree: Masters (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering (with an environmental focus), or a closely related field.Domain Expertise: Strong foundational knowledge in core areas such as aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.Analytical Writing: The ability to communicate complex ecological and engineering concepts clearly and concisely in written form.Attention to Detail: High level of precision when checking unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory compliance logic.No AI experience required.PreferredPrior experience with data annotation, data quality, or evaluation systems.Familiarity with environmental modeling software.Why Join UsCompetitive pay and flexible remote work.Collaborate with a team working on cutting-edge AI projects.Exposure to advanced LLMs and how they're trained.Freelance perks: autonomy, flexibility, and global collaboration.Potential for contract extension.Application Process (Takes 15‐20 min)Submit your resume.Complete a short screening.Project matching and onboarding.PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.#J-18808-Ljbffr