Environmental Engineering - AI Data Trainer
Posted 1 week ago by Alignerr
Negotiable
Undetermined
Remote
Birmingham, England, United Kingdom
Summary: The Environmental Engineering - AI Data Trainer role at Alignerr involves collaborating with AI research teams to develop and evaluate advanced environmental engineering problems and solutions. The position requires creating rigorous technical solutions and auditing AI-generated plans for accuracy and compliance. Candidates should possess an advanced degree in Environmental Engineering or a related field, along with strong analytical writing skills. This is a remote, hourly contract position with flexible hours.
Key Responsibilities:
- Design advanced environmental engineering problems across various domains.
- Create rigorous, step-by-step technical solutions as "golden responses."
- Evaluate AI-generated remediation plans and environmental impact statements for accuracy.
- Identify logical fallacies in AI reasoning and provide structured feedback.
Key Skills:
- Advanced Degree: Masters or PhD in Environmental Engineering or related field.
- Strong foundational knowledge in aquatic chemistry, wastewater process design, or air quality engineering.
- Ability to communicate complex concepts clearly in writing.
- High attention to detail in technical evaluations.
- Prior experience with data annotation or evaluation systems preferred.
- Familiarity with environmental modeling software preferred.
Salary (Rate): £60.00/hour
City: Birmingham
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.