AI Data Trainer

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

Job summary

A leading AI consulting firm is seeking an Environmental Engineering - AI Data Trainer to work remotely. This role involves developing complex environmental engineering problems and authoring rigorous technical solutions. Candidates should have an advanced degree in Environmental Engineering or a related field, with strong analytical writing skills and attention to detail. The role offers competitive pay and flexible hours, focusing on cutting-edge AI projects in collaboration with leading research teams.

Benefits

Competitive pay

Flexible remote work

Global collaboration opportunities

Qualifications

• Advanced degree (Masters or PhD) in Environmental Engineering or closely related field.
• Strong foundational knowledge in areas like aquatic chemistry and wastewater process design.
• Ability to communicate complex engineering concepts clearly.

Responsibilities

• Design advanced environmental engineering problems across various domains.
• Create rigorous technical solutions and evaluate AI-generated plans for accuracy.
• Identify logical fallacies in AI reasoning and provide corrective feedback.

Skills

Analytical Writing

Attention to Detail

Domain Expertise in Environmental Engineering

Education

Masters or PhD in Environmental Engineering or related field

Tools

Environmental modeling software

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.

Location: Remote

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.