Environmental Engineering - AI Data Trainer

Alignerr Corp.; Sheffield (TX); Remote; USD 55,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Job summary

Alignerr Corp. invites environmental engineers at the master's or PhD level to join as an AI Data Trainer. This remote, hourly-contract role focuses on crafting sophisticated environmental-engineering scenarios, authoring benchmark solutions, and auditing AI outputs for accuracy and compliance.

You will apply domain knowledge in contaminant transport, wastewater design, ASHRAE/ISO standards, and LCA contexts while maintaining precise calculations and clear written explanations.

Qualifications

• Master's degree or PhD in Environmental Engineering or Civil Engineering (environmental focus)
• Strong written communication of complex concepts
• Meticulous attention to unit conversions, chemical equations, and regulatory logic

Responsibilities

• Design Advanced Technical Problems across domains including contaminant transport and water treatment
• Author Gold-Standard Solutions with step-by-step technical responses
• Audit AI-Generated Outputs for technical accuracy, safety, and regulatory compliance
• Sharpen AI Reasoning by identifying model errors and providing structured feedback

Skills

Environmental engineering concepts

Technical writing

Analytical thinking

Education

Master's degree or PhD in Environmental Engineering or civil/environmental focus

Tools

AERMOD

SWMM

Job description

Environmental Engineering – AI Data Trainer

About The Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need environmental engineers to make it happen. Your domain expertise will directly shape how AI understands and reasons through complex environmental challenges, from water treatment design to hazardous waste remediation.

This is a unique opportunity to apply your graduate-level knowledge in a cutting-edge AI context, working remotely on your own schedule.

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

What You'll Do

• Design Advanced Technical Problems — Craft challenging environmental engineering scenarios across domains including contaminant transport, mass balance in treatment plants, hydrology, air quality modeling, and Life Cycle Assessments (LCA)
• Author Gold-Standard Solutions — Develop rigorous, step-by-step technical responses featuring chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmark answers
• Audit AI-Generated Outputs — Evaluate AI-produced remediation plans, environmental impact statements, and engineering calculations for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others)
• Sharpen AI Reasoning — Identify and document model errors such as incorrect stoichiometry in biological treatment processes or overlooked secondary environmental impacts, and provide structured feedback to improve AI reasoning

Who You Are

• Currently pursuing or have completed a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
• Strong foundational knowledge in one or more of: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
• Able to communicate complex engineering and ecological concepts clearly and precisely in writing
• Meticulous attention to detail — especially with unit conversions, chemical equations, and regulatory compliance logic
• No prior AI experience required — we'll get you up to speed

Nice to Have

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

Why Join Us

• Work on genuinely cutting-edge AI projects alongside top research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with meaningful, intellectually stimulating work
• Contribute to AI systems that will reason about real-world environmental problems
• Potential for ongoing work and contract extension