Energy Engineer – AI Evaluation Specialist

Job Summary

Join our customer's team as an Energy Engineer – AI Evaluation Specialist, where your expertise in energy systems and AI model evaluation will drive accuracy and innovation in sustainable technology solutions. In this unique cross-disciplinary role, you’ll validate technical models, assess complex energy interactions, and ensure the feasibility of integrated systems using advanced data and evaluation techniques. This is a fantastic opportunity for analytical minds with strong communication skills who are passionate about both energy engineering and artificial intelligence.

Key Responsibilities

Translate property specifications into technical system design envelopes, covering aspects such as roofing, load analysis, interconnection, structural considerations, and code compliance. Produce and validate energy output and demand impact projections (e.g., annual kWh, load profiles, round-trip efficiency, HP COP/SCOP). Evaluate cross-system interdependencies, including PV to storage charging windows, heat pump load shifts, and EVSE demand spikes. Identify and flag constructibility and permitting constraints, proposing alternative configurations when needed. Assess technical sizing and feasibility of integrated energy solutions, leveraging AI evaluation tools and rubrics. Pressure-test efficiency assumptions and generation/production estimates for accuracy and reliability. Document findings and communicate technical insights effectively, both in writing and verbally, to inform decision-making processes.

Required Skills and Qualifications

Proven experience in energy engineering, system design validation, or renewable energy modeling. Demonstrated ability to evaluate and annotate AI models, with a strong focus on detailed, rubric-based assessments. Expertise in prompt creation, instruction tuning, CoT data generation, or related model evaluation tasks. Excellent written and verbal communication skills; a genuine commitment to clear, thoughtful communication is essential. Familiarity with structural and electrical constraints in energy systems (PV, storage, heat pump, EVSE). Strong analytical mindset and ability to synthesize complex technical data for actionable insights. Proficiency in using remote collaboration tools and working independently in a distributed team environment.

Preferred Qualifications

Prior experience as an RLHF annotator, AI trainer, or data annotator in technical domains. Background in managing or contributing to rubric-based evaluation projects. Experience in multi-technology energy system design or feasibility assessment projects.