Vision AI Engineer - Intern

Aviso de fuente externaen MISTI AI

Build MISTI AI's annotation agent and produce and review labeled datasets used to train vision models for safety systems at mines and industrial sites.

Fuente externa - sin verificarhace 7 semanasVigente hasta: 11 nov 2026

Salario

No especificado

Ubicación

Lima, Perú

Tipo de empleo

Tiempo completo

Modalidad

No especificado

Vision AI Engineer - Intern

Lima, Perú

Descripción del empleo

About the role

MISTI AI turns cameras at mines and industrial sites into real-time safety systems. Its vision models run on Nvidia Jetson devices in harsh conditions and on networks that may drop for hours. MISTI AI is a small team across London, Lima and Delhi, with systems live on real sites, backed by Fuel Ventures and part of NVIDIA Inception.

This internship focuses on an AI annotation agent that turns raw site footage into training data. You will build the agent and run data through it, producing and reviewing labeled datasets used to train vision models. The role combines engineering with human judgment work that supports data quality.

Responsibilities

  • Ship features and fixes across a Python backend and a React frontend.
  • Strengthen the human-in-the-loop experience by reducing busywork and surfacing cases that need a person.
  • Work with cloud GPU infrastructure and real production data.
  • Produce and review labeled datasets used to train the models.

Datos clave

  • The internship combines building an annotation agent with producing and reviewing labeled datasets.
  • The agent uses a Python backend and a React frontend.
  • The role involves cloud GPU infrastructure and real production data.

Preguntas frecuentes

  • What does the internship involve?

    You will build an AI annotation agent and produce and review labeled datasets used to train vision models.

  • What technologies are used to build the agent?

    The agent has a Python backend and a React frontend.

  • What kind of data and infrastructure will I work with?

    The role involves cloud GPU infrastructure and real production data.

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