Environmental Engineering - AI Data Trainer

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.

• Remote

Organization
:
Alignerr Position
:
Environmental Engineering - AI Data Trainer Type
:
Hourly Contract Compensation
: $35–$60 /hour Location
:
Remote Commitment
: 10–40 hours/week

• 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

PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.