Environmental Engineering - AI Data Trainer

Alignerr Corp.; Delhi; Remote; INR 3,334,000 - 8,002,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Global collaboration

Contract extension possible

Job summary

Alignerr Corp. is seeking an Environmental Engineering AI Data Trainer to craft challenging environmental scenarios across domains like contaminant transport, wastewater design, and LCA, working remotely on your own schedule.

This role focuses on designing problems, developing step-by-step solutions, auditing AI outputs for regulatory and safety criteria, and providing precise feedback to improve model reasoning. Masters or PhD preferred, strong writing and independence.

Qualifications

• Pursuing or holding a Master's or PhD in Environmental Engineering or related field.
• Strong knowledge in aquatic chemistry, wastewater design, air quality, or hazardous waste remediation.
• Ability to communicate complex concepts clearly in writing.
• Detail-oriented with careful checks on unit conversions and regulatory logic.
• Self-motivated, reliable, and able to work independently.
• No prior AI experience required.

Responsibilities

• Design advanced environmental engineering problems across domains.
• Author gold-standard step-by-step solutions.
• Audit AI outputs for technical accuracy and regulatory compliance.
• Improve AI reasoning by identifying logical flaws and providing feedback.
• Work independently and asynchronously on your own schedule.

Skills

Aquatic chemistry

Wastewater design

Air quality engineering

Hazardous waste remediation

Technical writing

Education

Master's or PhD in Environmental Engineering

Civil Engineering with environmental focus

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 accurate AI models — and we need environmental engineers to make it happen. Your deep technical knowledge will directly shape how AI understands and reasons through complex environmental problems, from wastewater treatment to hazardous waste remediation.

This is a rare opportunity to apply your graduate-level expertise in a cutting-edge AI context, working flexibly and 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, and Life Cycle Assessments (LCA)
• Author Gold-Standard Solutions — Develop rigorous, step-by-step technical solutions covering chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as benchmark responses
• Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical models for technical accuracy, safety, and regulatory compliance (EPA, ISO 14001, and more)
• Improve AI Reasoning — Identify flaws in AI logic — such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts — and deliver structured feedback that sharpens model performance
• Work independently and asynchronously on your own schedule

Who You Are

• Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with an 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 engineering and ecological concepts clearly and precisely in writing
• Detail-oriented — comfortable checking unit conversions, chemical equations, and regulatory compliance logic with high accuracy
• Self-motivated and reliable when working independently
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality, or evaluation workflows
• Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools)
• Background in EHS compliance or environmental policy

Why Join Us

• Work on cutting-edge AI projects alongside top-tier research labs
• Fully remote and flexible — set your own hours and workload
• Contribute meaningful domain expertise that shapes how AI handles real-world environmental challenges
• Freelance perks: autonomy, variety, and global collaboration
• Potential for ongoing work and contract extension