Energy Engineer – AI Evaluation Specialist

$30 - $40/hourpay

Required Skills

energy engineering
renewable energy modeling
ai model evaluation
rubric-based assessment
prompt creation
instruction tuning
complex data analysis
system design validation
pv system design
energy storage systems
heat pump systems
evse (electric vehicle supply equipment)
structural and electrical constraints assessment
technical documentation
written and verbal communication
remote collaboration tools
independent work
rlhf annotation
constructibility and permitting analysis
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

Job Description

Job Title: Energy Engineer – AI Evaluation Specialist


Job Type: Part-time


Location: Remote


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:

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


Required Skills and Qualifications:

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


Preferred Qualifications:

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

This job is currently closed and not accepting applications. Thank you for your interest!

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