Environmental Engineering - AI Data Trainer

Alignerr Corp.; Miami (FL); Remote; USD 55,000 - 83,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Job summary

Alignerr is seeking an Environmental Engineering AI Data Trainer to stress-test and improve how advanced language models reason through real-world environmental engineering problems. You will design challenging scenarios, author benchmark solutions, and audit outputs for regulatory compliance, working remotely on a flexible schedule.

Ideal candidates hold a Master’s or PhD in Environmental Engineering or related fields, with strong knowledge in hydraulics, wastewater treatment, and regulatory

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 aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.

Responsibilities

• Design advanced environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, LCA, and more.
• Author rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — for AI training.
• Audit AI outputs for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others).
• Sharpen AI reasoning by identifying breakdowns and providing structured feedback to improve model performance.

Skills

Environmental engineering

Hydraulics

Wastewater treatment

Regulatory knowledge

Data annotation

Education

Master’s or PhD in Environmental Engineering or related

Strong environmental modeling knowledge

Tools

AERMOD

SWMM

Job description

Environmental Engineering – AI Data Trainer

We're partnering with the world's leading AI research teams to build smarter, more technically rigorous AI models — and we need environmental engineers to help get there.

As an AI Data Trainer, you'll put your deep domain knowledge to work stress-testing and improving how advanced language models reason through real-world environmental engineering problems. From contaminant transport to hazardous waste remediation, your expertise will directly shape the reliability of AI systems used by engineers, researchers, and policymakers worldwide.

This is a fully remote, flexible contract role — work on your own schedule, on problems that matter.

About The Role

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• 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

Who You Are

• 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

Nice to Have

• Experience with data annotation, data quality review, or evaluation systems
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)

Why Join Us

• Work on cutting‑edge AI projects alongside top AI research labs
• Fully remote and flexible — work when and where it suits you
• Freelance perks: autonomy, variety, and global collaboration
• Get rare, hands‑on exposure to how large language models are trained and evaluated
• Contribute to AI that could shape the future of environmental science and sustainability
• Potential for ongoing work and contract extension