alignerr
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Unknown · San Francisco, US
Hiring: Engineering, AI Training
What employees say
+ Competitive pay and compensation. Timely payout
− Irregular work and project availability. Highly invasive projects.
More reviews on the company profile.
Interview experience · Senior Software Engineer
Asks about ur experience, more of experience focused. was asked about a specific project and end to end question on that. The problems I faced etc etc. it was okayish
Easy difficulty · India · 1 reports
More interview insightsJob description
Overview
Environmental Engineering – AI Data Trainer
Responsibilities
- 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
Qualifications
- 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
- Familiarity with environmental modeling software (e.g., AERMOD, SWMM, EPA tools)
- Background in EHS compliance or environmental policy
- 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
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Job application FAQ
Last updated 17 September 2026
- How do I apply for Environmental Engineering - AI Data Trainer at alignerr?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. alignerr may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Environmental Engineering - AI Data Trainer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Environmental Engineering - AI Data Trainer remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Environmental Engineering - AI Data Trainer role at alignerr?
- Key skills for this role include Remote. Upload a resume to see which requirements you already meet and which are gaps.