Senior Energy & Environmental Systems Domain Expert (AI Training, Benchmarking & Technical Evaluation)

Innodata Inc.; Philippines; Remote; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive compensation package

Flexible remote-friendly work

Opportunity to shape AI models with a

Job summary

Innodata Inc. seeks a Senior Energy & Environmental Systems Domain Expert to support AI model development and evaluation in energy and environmental sciences.

You will apply deep expertise across power systems, hydrology, atmosphere, wildfire science, and petroleum engineering to design benchmarks, validate outputs, and uphold high accuracy standards. You will interpret complex data, produce rigorous technical templates, and communicate findings to cross-functional teams while supporting

Qualifications

• Strong foundation in data analysis and scientific modeling.
• Experience with technical reporting and documentation.
• Familiarity with AI model evaluation and prompt engineering is a plus.
• Exceptional written and verbal communication skills.

Responsibilities

• Interpret, analyze, and validate complex scientific imagery, charts, and diagrams.
• Cover power systems, hydrology, atmospheric science, wildfire science, and petroleum engineering.
• Design high-fidelity tasks and reference solutions for AI evaluation.
• Document complex concepts clearly for technical stakeholders.
• Lead rigorous reviews and ensure alignment with standards and regulations.

Education

Bachelor’s degree in Environmental Science

Master’s degree in Energy Engineering

Ph.D. in a related discipline

Job description

We are seeking a versatile and specialized Senior Energy & Environmental Systems Domain Expert to support the development and evaluation of advanced artificial intelligence models. In this role, you will leverage your deep technical expertise across power systems, renewable energy, hydrology, atmospheric modeling, wildfire science, and petroleum engineering to analyze complex scientific data, design rigorous technical benchmarks, validate AI-generated outputs, and ensure the highest standards of accuracy in energy and environmental intelligence.

Core Responsibilities & Competencies

Interpret, analyze, and validate complex scientific imagery, charts, graphs, technical illustrations, maps, and specialized diagrams. Your specialized subject-matter expertise will cover:

• Power Systems & Renewable Energy: Analysis of power-system operations, frequency events, and solar energy systems (including PV curves and sun path diagrams).
• Hydrology & Water Resources: Surface-water hydrology, watershed dynamics, and flood/flow forecasting via hydrograph interpretation.
• Environmental & Atmospheric Science: Air-quality dispersion modeling and atmospheric impact assessments.
• Wildfire Science & Earth Systems: Wildfire science, fire behavior modeling, and environmental risk evaluation.
• Petroleum & Subsurface Engineering: Petroleum reservoir engineering, pressure transient analysis, and well testing interpretation.

2. Analytical Thinking & Problem Solving

• Apply critical thinking, rigorous evidence evaluation, and independent problem-solving to complex, unstructured energy and environmental scenarios.
• Validate technical calculations, predictive models, and environmental solutions against established industry standards, physics principles, and regulatory frameworks.

3. Problem Design & Technical Communication

• Develop challenging, high-fidelity tasks, technical questions, problem templates, and gold-standard reference solutions for AI training and evaluation.
• Document and explain complex environmental and energy concepts clearly and concisely for technical and cross-functional stakeholders.

4. Evaluation, Quality & Fairness

• Conduct meticulous technical reviews, error detection, and accuracy validations on scientific datasets, technical text, and AI model outputs.
• Calibrate quality standards and design fair, robust assessments that accurately measure genuine domain expertise in energy and environmental systems.

5. Research, Digital Literacy & Professional Practice

• Perform comprehensive scientific research, source validation, licensing verification, and data provenance checks.
• Utilize modern digital tools and participate actively in AI/LLM evaluation workflows (e.g., RLHF, domain benchmarking, and model alignment).
• Maintain meticulous attention to detail, collaborate effectively with diverse teams, and adapt rapidly to evolving project needs.

Qualifications & Requirements

• Education: Bachelor’s, Master’s, or Ph.D. degree in Environmental Science, Energy Engineering, Electrical Power Systems, Hydrology, Atmospheric Science, Petroleum Engineering, or a closely related discipline.
• Experience: 3+ years of professional, operational, or academic research experience within one or more of the specialized sub-domains listed above.
• Technical Proficiency:
• Strong foundation in data analysis, scientific modeling, and technical reporting.
• Familiarity with AI model evaluation, data annotation, or prompt engineering frameworks is a strong plus.
• Communication: Exceptional technical writing, documentation, and communication skills.

What We Offer

• Competitive compensation package.
• Flexible remote-friendly work environment.
• Unique opportunity to shape the future of artificial intelligence by embedding expert-level energy and environmental science into advanced language and vision models.