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Hadl.ai

Data Analyst, AI Operations

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  • Posted 16 hours ago
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Job Description

About Hadl

Hadl is an AI research accelerator lab. We build AI powered diagnostic tools for aquaculture and help leading companies develop market ready AI.

Our team are computer vision and data experts, with cornerstone products that help farmers understand plankton, water quality, and shrimp health in real farm environments.

Our work sits at the intersection of biology, data, and real world operations. We move fast, test often, and focus on practical impact. You will work closely with engineers, biologists, and product teams to turn complex data into reliable AI systems.

We collaborate openly, learn continuously, and value ownership. No rigid hierarchies. Curious people solving hard problems together.

About the Role

This role offers early ownership and real responsibility. You will be hands on with cutting edge AI development and exposed to global companies deploying AI in the field.

You will support data preparation, analysis, and day to day AI operations that keep models accurate and reliable.

You will work close to production models, datasets, and experiments. You will not design ML architectures, but you will learn how AI systems work in practice and how data quality drives performance.

What You'll Do

  • Prepare and organise data for analysis and models.
  • Track model performance and data quality.
  • Support training, evaluation, and update cycles.
  • Manage datasets, annotations, and results.
  • Create clear summaries and internal reports.
  • Support AI systems in production environments.

What We're Looking For

  • Early career data analyst or strong graduate profile.
  • Passion and capability for analytics and AI.
  • Comfortable with Python and at least one of SQL, R, or spreadsheets.
  • Familiar with basic machine learning concepts.
  • Exposure or strong interest in ML Ops workflows.
  • Structured, detail focused, and reliable.
  • Curious, self driven, and eager to learn.
  • Good written and spoken English.

ML Ops exposure may include:

Basic Git usage, running training scripts, managing datasets, monitoring outputs, or supporting deployments.

What We Offer

  • Hands on exposure to real production AI systems.
  • Learning alongside computer vision and data experts.
  • Responsibility and ownership from early on.
  • Fast growth in a deep tech research environment.
  • A team that values clarity, curiosity, and progress.

Salary: 6 to 12 million IDR

Role: Full time

Location: Central Jakarta, Mega Kuningan

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About Company

Job ID: 137861935

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