Horizon Labs – AI Operations Intern

About the Company

Horizon Labs is an AI-studio focused on building AI-enabled consumer ventures. We operate like a startup factory with experienced teams, frameworks, and infrastructure and look for real-world problems that have meaningful AI solutions and focus on building within the consumer and healthcare verticals. Our model involves incubating ideas, launching startups, and scaling growth globally.

About The Role

We're looking for an AI Operations Intern to help operationalise AI-enabled workflows across research, execution, and internal process support. This role sits at the intersection of tooling, process, and business operations, with a focus on making work faster, more reliable, and easier to scale.

What You'll Do

Map existing workflows and identify opportunities to improve them with AI, automation, and better process design.

Support prompt workflows, agent handoffs, documentation, and structured operating procedures.

Test AI tools and orchestration methods to improve reliability, transparency, and repeatability.

Coordinate with cross-functional teams to capture requirements and implement workflow improvements.

Produce clear documentation and summaries so processes can be reused by a growing team.

What We Look For

Currently pursuing or recently completed a relevant degree, ideally from leading universities such as NUS, NTU, SUTD, and SMU. Strong candidates from other institutions will also be considered.

Strong academic performance, ideally distinction or above, alongside evidence of initiative, ownership, and high-quality execution.

Basic understanding of AI/ML workflows, including data preprocessing, model training, and deployment, or a strong willingness to learn.

Familiarity with tools such as Python, SQL, or Jupyter Notebooks.

Comfortable working with APIs, cloud platforms (AWS, GCP, or Azure), and automation tools.

Strong organisational and analytical skills with attention to detail.

Ability to document processes, track experiments, and manage version control (e.g., Git).

Comfortable using AI tools beyond simple chat workflows to accelerate analysis, drafting, research, and execution.

Strong process thinking and a habit of documenting workflows clearly.

Why Apply

You'll work close to real product problems, ship AI features end-to-end, and develop strong judgement for what it takes to make AI systems reliable in production.