Environmental Engineering - AI Data Trainer

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

  • Location: Remote

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.You’ll challenge advanced language models on topics like water and wastewater treatment, air quality management, EHS and compliance, and solid and hazardous waste management — documenting every failure mode so we can harden model reasoning.

Organization

: Alignerr

Position

: Environmental Engineering - AI Data Trainer

Type

: Hourly Contract

Compensation

: $35–$60 /hour

Location

: Remote

Commitment

: 10–40 hours/week

What You’ll Do

  • Develop Complex Problems: Design advanced environmental engineering problems across domains like contaminant transport, mass balance in treatment plants, hydrology, and Life Cycle Assessments (LCA).
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations that serve as "golden responses."
  • Technical Auditing: Evaluate AI-generated remediation plans, environmental impact statements, and mathematical proofs for technical accuracy, safety, and adherence to regulatory standards (e.g., EPA, ISO 14001).
  • Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect stoichiometry in biological processes or failure to account for secondary environmental impacts—and provide structured feedback to improve the model's "thinking" process.

Requirements

  • Advanced Degree: Masters (pursuing or completed) or PhD in Environmental Engineering, Civil Engineering (with an environmental focus), or a closely related field.
  • Domain Expertise: Strong foundational knowledge in core areas such as aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
  • Analytical Writing: The ability to communicate complex ecological and engineering concepts clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking unit conversions (e.g., mg/L to ppm), chemical equations, and regulatory compliance logic.
  • No AI experience required

Preferred

  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with environmental modeling software

Why Join Us

  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they’re trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.

Application Process (Takes 15-20 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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