Environmental Engineering - AI Data Trainer

Talantir; France; Remote; EUR 43,000 - 74,000; Full time

Benefits offered by this job

Autonomy

Flexibility

Global collaboration

Job summary

Alignerr, a remote hourly contract, seeks an Environmental Engineering - AI Data Trainer to design advanced problems in environmental engineering and to document rigorous solutions for AI model training.

You will author step-by-step ground-truth solutions, audit AI-generated plans for regulatory compliance, and provide feedback to improve model reasoning.

Qualifications

• Masters or PhD in Environmental Engineering, Civil Engineering (env fokus) or closely related field.

Responsibilities

• Develop complex environmental engineering problems across domains like contaminant transport, mass balance in treatment plants, hydrology, and LCA.

Job description

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.