Environmental Engineering - AI Data Trainer

Alignerr Corp.; Seattle (WA); Remote; USD 55,000 - 103,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Autonomy

Global collaboration

Job summary

Alignerr seeks an Environmental Engineering AI Data Trainer to shape how AI understands complex environmental problems. The role is a remote hourly contract, with 10–40 hours per week, focusing on contaminant transport, regulatory compliance, and environmental modeling tasks.

You will design advanced scenarios, craft gold-standard solutions, audit AI outputs for accuracy, and provide feedback to improve model reasoning, all while working independently.

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.
• Ability to communicate complex technical concepts clearly in writing.
• Detail-oriented with unit conversions and regulatory compliance checks.

Responsibilities

• Design Advanced Technical Problems across domains like contaminant transport, mass balance in treatment plants, hydrology, and LCA.
• Author Ground-Truth Solutions with step-by-step reference solutions including dosing calculations and hydraulic models.
• Audit AI outputs for technical accuracy, safety, and regulatory adherence (EPA, ISO 14001).
• Refine AI reasoning by identifying errors and providing structured feedback to improve model performance.
• Work Independently with a flexible, asynchronous schedule.

Skills

Technical writing

Independent work

Analytical thinking

Communication of complex concepts

Education

Master's or PhD in Environmental Engineering or related field

Civil Engineering (environmental focus)

Tools

AERMOD

SWMM

EPANET

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. As an AI Data Trainer, your domain expertise will directly shape how AI understands and reasons through complex environmental engineering problems, from contaminant transport to regulatory compliance.

This is a rare opportunity to sit at the intersection of environmental science and cutting-edge artificial intelligence — no prior AI experience required.

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

What You'll Do

• Design Advanced Technical Problems — Craft challenging, real-world environmental engineering scenarios across domains including contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA)
• Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as the gold standard for AI responses
• Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and adherence to regulatory standards (EPA, ISO 14001, and others)
• Refine AI Reasoning — Identify logical errors in AI responses — such as incorrect stoichiometry in biological treatment processes or failure to account for secondary environmental impacts — and provide structured feedback to improve model performance
• Work Independently — Complete task-based assignments on a flexible, asynchronous schedule that fits your life

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 writing
• Detail-oriented — confident checking unit conversions (mg/L to ppm), balancing chemical equations, and verifying regulatory compliance logic
• Self-motivated and comfortable working independently on analytical tasks
• No prior AI experience required

Nice to Have

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

Why Join Us

• Work on cutting-edge AI projects with top research labs and organizations at the forefront of AI development
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Apply your environmental engineering expertise in a meaningful new context
• Potential for ongoing work and contract extension