Environmental Engineering - AI Data Trainer

Environmental Engineering - AI Data Trainer

Join to apply for the Environmental Engineering - AI Data Trainer role at Alignerr
.

2 days ago – Be among the first 25 applicants.

This range is provided by Alignerr. Your actual pay will be based on your skills and experience – talk with your recruiter to learn more.

$35.00/hr – $60.00/hr

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 such as 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

• Develop complex environmental engineering problems across domains such as contaminant transport, mass balance in treatment plants, hydrology, and life‑cycle assessments.
• 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:
  Master’s (pursuing or completed) or Ph.D. in Environmental Engineering, Civil Engineering (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, 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:
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