AI Data Trainer

Alignerr Corp.; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading AI research firm seeks an Environmental Engineering - AI Data Trainer to design and evaluate complex environmental problems and solutions. This role requires a Master's or PhD in Environmental Engineering or related fields. Candidates will review AI-generated plans and enhance model reasoning. The position offers competitive hourly pay, remote work flexibility, and potential for contract extension. Ideal for those with strong analytical writing and attention to detail. Prior environmental modeling familiarity preferred.

Benefits

Competitive pay and flexible remote work

Autonomy and global collaboration

Exposure to cutting-edge AI projects

Qualifications

• Strong foundational knowledge in aquatic chemistry and wastewater process design.
• Ability to communicate complex ecological and engineering concepts clearly.
• High level of precision when checking unit conversions and regulatory compliance.

Responsibilities

• Design advanced environmental engineering problems across various domains.
• Create rigorous technical solutions, including hydraulic flow models.
• Evaluate AI-generated remediation plans for accuracy and safety.
• Identify logical fallacies in AI reasoning and provide feedback.

Skills

Advanced Degree in Environmental Engineering

Domain Expertise in aquatic chemistry

Analytical Writing

Attention to Detail

Education

Masters or PhD in Environmental Engineering or related field

Job description

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 such as 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 מבית: 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 such as contaminant transport, mass balance in treatment plants, hydrology, andrepeat 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 adherenceiq 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.-how-else?
• 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.