Environmental AI Data Trainer (Remote, Flexible)

Alignerr Corp.; Miami (FL); Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Autonomy

Global collaboration

Job summary

Alignerr Corp. is seeking an Environmental Engineering AI Data Trainer to stress-test and improve how language models reason through real-world environmental engineering problems.

You will design complex scenarios, author rigorous solutions, and audit AI outputs, ensuring regulatory compliance and high-quality benchmarks. The role is fully remote, hourly contract, with flexible scheduling and a commitment of 10–40 hours per week, enabling independent, project-based work on impactful

Qualifications

• Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field.
• Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
• Able to communicate complex technical and ecological concepts clearly and precisely in written form.
• Detail-oriented — meticulous when it comes to unit conversions, chemical equations, and regulatory logic.
• Self-motivated and comfortable working independently on technically demanding tasks.
• No prior AI experience required.

Responsibilities

• Design Advanced Technical Problems — Create challenging environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more.
• Author Gold-Standard Solutions — Develop rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as benchmark responses for AI training
• Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others)
• Sharpen AI Reasoning — Identify where AI reasoning breaks down — incorrect stoichiometry, missed secondary impacts, flawed unit conversions — and provide structured feedback that directly improves model performance

Skills

Environmental engineering knowledge

Regulatory understanding

Technical writing

Independent work

Education

Master's or PhD in Environmental Engineering

Tools

AERMOD

SWMM

Job description

Alignerr Corp. is seeking an Environmental Engineering AI Data Trainer to stress-test and improve how language models reason through real-world environmental engineering problems.

You will design complex scenarios, author rigorous solutions, and audit AI outputs, ensuring regulatory compliance and high-quality benchmarks. The role is fully remote, hourly contract, with flexible scheduling and a commitment of 10–40 hours per week, enabling independent, project-based work on impactful