Environmental Engineering - AI Data Trainer

• Location: Remote

About The Job

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.

Requirements

• 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

Preferred

• Prior experience with data annotation, data quality, or evaluation systems

• Familiarity with environmental modeling software

Why Join Us

• 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.

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.