AI Data Trainer

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

Job summary

A leading AI research collaboration firm is seeking an Environmental Engineering - AI Data Trainer to develop advanced problems and evaluate AI-generated solutions. This role requires a Master's or PhD in a related field and strong knowledge in areas like aquatic chemistry. Offering competitive pay, flexibility, and the chance to work on cutting-edge AI projects, this freelance position allows for remote work and potential contract extensions.

Benefits

Competitive pay

Flexible remote work

Exposure to advanced AI projects

Freelance autonomy

Qualifications

• Masters or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a related field.
• Strong knowledge in aquatic chemistry, wastewater process design, or hazardous waste remediation.
• Ability to communicate complex ecological concepts clearly.

Responsibilities

• Design advanced environmental engineering problems across domains.
• Create rigorous technical solutions, including chemical dosage calculations.
• Evaluate AI-generated plans for technical accuracy and regulatory standards.
• Identify logical fallacies in AI reasoning and provide feedback.

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.