Environmental Engineering - AI Data Trainer

Alignerr

United States

Remote

GBP 55,000 - 110,000

Full time

4 days ago
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Benefits offered by this job

Fully remote

Job summary

Alignerr seeks environmental engineering experts to train cutting-edge AI models from remote locations. You will design complex problems, craft ground-truth solutions, and audit AI outputs for regulatory compliance and accuracy.

Ideal candidates hold an advanced degree in environmental engineering or related fields and can work independently on flexible hours, with a focus on water treatment, air quality, and waste remediation.

Qualifications

  • Pursuing or holding a Master’s or PhD in Environmental Engineering, Civil Engineering (environmental focus) or related field.
  • Strong knowledge in aquatic chemistry, wastewater design, air quality engineering, or hazardous waste remediation.
  • Excellent written communication of complex concepts.
  • Attention to unit conversions, chemical equations and regulatory logic.
  • Self-motivated and able to work independently on technical tasks.

Responsibilities

  • Design advanced environmental engineering challenges spanning transport, mass balance, hydrology and LCA.
  • Develop step-by-step solutions including dosage calculations and flow models.
  • Audit AI outputs for technical accuracy and regulatory compliance.
  • Provide structured feedback to improve model reasoning and reduce errors.
  • Complete assignments remotely on your own schedule.

Skills

Environmental engineering
Water treatment
Air quality
Regulatory compliance
Independent work

Education

Master's degree in Environmental Engineering
PhD in Environmental Engineering
Civil Engineering with environmental focus

Tools

AERMOD
SWMM
GoldSim

Job description

Environmental Engineering – AI Data Trainer
About The Role

We're looking for environmental engineering experts to help train and improve cutting-edge AI models. Your deep technical knowledge — from water treatment to air quality to hazardous waste remediation — will directly shape how AI reasons through complex environmental problems.

This is a unique opportunity to work at the intersection of environmental science and artificial intelligence, contributing to some of the most advanced language models being built today.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design Complex Problems — Create advanced environmental engineering challenges spanning contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA) to stress-test AI reasoning
  • Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as reference-quality "golden responses"
  • Audit AI Outputs — Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety
  • Refine AI Reasoning — Identify logical errors such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts, and provide structured feedback to improve model quality
  • Work Independently — Complete task-based assignments on your own schedule with full remote flexibility
Who You Are
  • Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (with environmental focus), or a closely related field
  • Strong foundational knowledge in at least one core area: 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
  • High attention to detail — especially for unit conversions, chemical equations, and regulatory compliance logic
  • Self-motivated and comfortable working independently on technical tasks
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, data quality, or evaluation systems
  • Familiarity with environmental modeling software (e.g., AERMOD, SWMM, GoldSim)
  • Background in EHS compliance or environmental impact assessment
Why Join Us
  • Work on cutting-edge AI projects in collaboration with world-leading AI research labs
  • Fully remote and flexible — work on your own schedule, from anywhere
  • Freelance perks: autonomy, variety, and global collaboration
  • Apply your domain expertise in a new and growing field
  • Contribute to meaningful work that improves how AI handles real-world environmental challenges
  • Potential for ongoing work and contract extension
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