Environmental Engineering - AI Data Trainer

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

Environmental Engineering – AI Data Trainer

About The Role

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.

• 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