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.
Location: Remote
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.
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