Freelance Energy Sector Experts at AI Startup

Reposted 18 Days Ago
Be an Early Applicant
Hiring Remotely in San Francisco, CA, USA
In-Office or Remote
Junior
Artificial Intelligence • Computer Vision • Machine Learning • Software
The Role
Evaluate AI-generated energy forecasts based on accuracy and quality, leveraging analytical and quantitative skills to assess forecast responses.
Summary Generated by Built In
Lightly AG is an ETH and HSG spin-off pioneering in machine learning and computer vision. Backed by Y Combinator and top-tier investors, our technology is used by global leaders in autonomous driving, medical imaging, and visual inspection.
With a small but sharp team in Zurich, we’re looking for analytical and driven Energy Sector Professionals to help us evaluate energy sector forecasts.
Estimated project scope of approximately 15 hours/week.
Tasks
Evaluate AI-generated energy forecasts by assessing the accuracy and quality of forecasts and responses using a provided rubric.
Project expected to begin early July.
Requirements
You’re a strong candidate if you:
* Have at least 2-3 years of recent experience in the energy sector
* Ideally with forecasting experience
* Are fluent in English (requirement)
* Have strong analytical and quantitative skills
* Communicate clearly and precisely
Benefits
* Work directly with a YC-backed team on cutting-edge AI evaluation projects
* Competitive compensation tailored to experience and scope of work
Send us your CV. If you’ve handled similar tasks before, we’d love to hear specific examples.
We look forward to hearing from you!

Skills Required

  • At least 2-3 years of recent experience in the energy sector
  • Forecasting experience
  • Fluency in English
  • Strong analytical and quantitative skills
  • Clear communication skills
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The Company

What We Do

Lightly is a data-centric AI company that helps machine learning teams build better vision systems by curating and managing vision data. It provides tools for data curation, labeling, and model pretraining to optimize datasets and accelerate AI development.

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