Antora

Ergonomics Intern (Summer 2026)

San Jose, CA Full Time

Antora builds and deploys thermal batteries to power always-on industrial operations with low-cost energy. Factory-built in the United States, Antora’s modular thermal batteries deliver reliable heat and power, enabling industrial facilities of any size to decarbonize predictably and profitably. Antora is electrifying global industry while supporting U.S. manufacturing jobs, lowering costs for energy consumers, and enhancing the competitiveness of American industry.

We are growing our company with people who put team and mission first, value connection through laughter and joy, and build with humility and openness. We are committed to continue building a diverse, passionate, and creative team dedicated to a future where every industrial facility, everywhere on earth, is powered by abundant, clean, low-cost energy.

 
 
Position Summary

Antora's Ergonomics Intern will design, build, and deploy an AI-powered THA generation system for Antora's manufacturing environment. The process begins with a standardized photo/video capture protocol for workplace tasks. The intern will then develop and configure an AI agent — leveraging vision-capable models — that analyzes captured media, identifies ergonomic hazards, calculates risk scores using NIOSH, RULA, and REBA methodologies, and populates Antora's THA template automatically. The intern will validate and refine the system iteratively, then apply it to complete THAs for every production station at Zanker. This directly supports Antora's operational safety and scaling readiness as manufacturing grows.

 

 

Roles & Responsibilities

 

  • Design and implement a photo/video-based ergonomic task capture protocol across Antora's Zanker production facility.
  • Build and iterate on an AI agent that analyzes workplace media and auto-generates Task Hazard Analyses (THAs) using Antora's standard THA template.
  • Integrate quantitative ergonomic assessment tools — NIOSH Lifting Equation, RULA, REBA, and others — into the AI pipeline to calculate and embed risk scores in each THA.
  • Apply the developed system to complete THAs for all production stations at Zanker, covering tasks across Manufacturing, Logistics & Inventory, and R&D environments.
  • Review, validate, and refine AI-generated THAs in collaboration with the EHS team.
  • Document the full workflow and deliver a user guide and handoff package so the system can continue to be used after the internship.
 
Key Qualifications

 

  • Currently enrolled in an MS or PhD program in Ergonomics, Human Factors, Industrial Engineering, or a closely related field.
  • Proficient in ergonomic assessment methods: RULA, REBA, NIOSH Lifting Equation, and others.
  • Experienced applying AI tools (vision models, LLMs, automation pipelines) to real project problems — not just theoretical familiarity.
  • Comfortable building and iterating; you don't wait to be told exactly how to do something.
  • Strong communicator who can document and present technical work to both technical and non-technical audiences.
  • Excited about using AI to make safety work faster, smarter, and more scalable.
 
Additional Qualifications Desired

 

  • Experience with computer vision or pose estimation tools (e.g., OpenPose, MediaPipe).
  • Prior internship or research experience in manufacturing, construction, or industrial environments.
  • Familiarity with task analysis and hazard analysis frameworks.

 

Work Location:  Onsite - San Jose, CA

 

Antora - Summer 2026 Summer Intern Periods:

Group 1: June 1st - August 7th

Group 2: June 15th - August 21st

 

Hourly Range:  $35 USD - $45 USD

Please note that the hourly range listed for this position reflects Antora Energy's estimated pay rate. The actual rate offered will be determined based on a candidate's experience, year in school, and degree, as they relate to the position's requirements.

Additionally, this position does not offer visa sponsorship. Only candidates with current work authorization (e.g., F-1 visa with OPT/CPT authorization) will be considered.

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