Horizon Labs – AI Operations Intern

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.

Job Description

We are seeking an AI Operations Intern to help operationalize 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.

Preferred Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Information Systems, Data Science, Business, or a related field ideally from leading universities such as NUS, NTU, or SMU, while still considering strong candidates from other institutions.
• 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 organizational 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.
• High attention to detail and discipline in checking facts, requirements, and deliverables before sharing work.
• Able to thrive in a fast-moving startup environment with ambiguity, rapid iteration, and cross-functional collaboration.
• Strong process thinking and a habit of documenting workflows clearly.

Key Responsibilities

• 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.

Why Apply

This role offers hands-on exposure to how AI actually gets operationalized inside a business — not just in theory, but through systems, playbooks, and team workflows that scale.