Environmental Engineering - AI Data Trainer
- Location: Remote
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
You’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.
Organization: Alignerr Position: Environmental Engineering - AI Data Trainer Type: Hourly Contract Compensation: $35–$60 /hour Location: Remote Commitment: 10–40 hours/week
What You’ll Do
- Develop 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.
- Advanced 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
- Prior experience with data annotation, data quality, or evaluation systems
- Familiarity with environmental modeling software
- Competitive 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.
- Submit your resume
- Complete a short screening
- Project matching and onboarding