Environmental Engineering - AI Data Trainer

About the Role

AI is advancing fast - but it still makes mistakes that only a real expert can catch. We're looking for environmental engineers to help train and evaluate cutting-edge AI models on complex technical topics like wastewater treatment, air quality management, hazardous waste remediation, and regulatory compliance. Your domain knowledge will directly shape how AI reasons through real-world environmental problems - making these systems safer, smarter, and more reliable for engineers and researchers worldwide. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10-40 hours/week

What You'll Do

Design Challenging Problems - Develop advanced technical problems spanning contaminant transport, mass balance in treatment plants, hydrology, pollutant dispersion, and Life Cycle Assessments (LCA) Author Gold-Standard Solutions - Write rigorous, step-by-step solutions - including chemical dosage calculations, hydraulic flow models, and remediation plans - that serve as benchmark responses for AI training Audit AI Outputs - Evaluate AI-generated environmental impact statements, remediation plans, and engineering calculations for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety Improve AI Reasoning - Identify logical errors in AI outputs - such as incorrect stoichiometry, flawed hydraulic assumptions, or overlooked secondary environmental impacts - and provide structured feedback to improve model performance Work Asynchronously - Complete tasks independently on a schedule that fits your life Who You Are Advanced Degree in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field - Masters (pursuing or completed) or PhD Strong Domain Knowledge in one or more areas: aquatic chemistry, wastewater process design, air quality engineering, solid/hazardous waste management, or environmental remediation Precise and Detail-Oriented - Comfortable checking unit conversions, chemical equations, and regulatory logic with a high degree of accuracy Clear Technical Writer - Able to explain complex engineering and ecological concepts in structured, well-reasoned written form No prior AI experience required - we'll get you up to speed

Nice to Have

Experience with data annotation, data quality review, or evaluation workflows Familiarity with environmental modeling software (e.g., AERMOD, SWMM, MODFLOW) Background in EHS compliance or environmental consulting

Why Join Us

Use your expertise differently - apply your engineering knowledge to a growing field at the frontier of AI development Fully remote and flexible - work from anywhere, on your own schedule Meaningful impact - your feedback directly improves how AI handles real environmental engineering challenges Collaborate globally - work alongside a diverse network of domain experts and AI researchers Ongoing opportunity - strong performers are considered for contract extensions and additional projects Experience: 3 years required