Senior Energy & Environmental AI Evaluation Specialist

Innodata Inc.

Philippines

Remote

PHP 900,000 - 1,500,000

Full time

32 hours ago
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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

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

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