Overview

Data Annotator (Plankton) Jobs in Jakarta, Indonesia at Hadl.ai

Title: Data Annotator (Plankton)

Company: Hadl.ai

Location: Jakarta, Indonesia

About the job

You will help build the foundation of our models depends on: clean, verified, high-quality plankton data. Hadl moves quickly and solves hard problems. We build computer vision systems for aquatic biological imaging, from plankton detection to shrimp health analysis, and the quality of our data is what sets our models apart. We're driven by openness, innovation, professionalism, and winning as a team.

About the Role

This role is for someone with a sharp eye, real patience, and pride in getting things exactly right. You will turn raw plankton imagery into the verified datasets that become data for model training, combining genus labelling with review and quality control. You will own a genus specialisation, hold a high bar for accuracy, and work closely with the annotation team to keep classification consistent across the pipeline.

What you'll do

  • Annotate plankton datasets according to project guidelines and taxonomy, meeting daily targets and deadlines.
  • Maintain high annotation quality against defined standards
  • Take part in weekly calibration sessions, using the team guidance system to keep classification consistent.
  • Perform review and QC checks, flagging misclassifications, outliers, and edge cases to your sub-lead.
  • Own a genus specialisation (for example diatoms, dinoflagellates, cyanobacteria, or zooplankton) as assigned by your team lead.

What we're looking for

  • Background in biology, marine biology, microbiology, or a related field (or equivalent aptitude and a strong willingness to learn a defined taxonomic class set).
  • Sharp eye for detail and the ability to stay consistent across long annotation sessions.
  • Comfort following detailed guidelines precisely, with the judgment to flag ambiguous organisms.
  • Strong communication for calibration and QC discussions.

Nice to have

  • Prior image annotation experience (CVAT, Labelbox, Roboflow, or similar).
  • Microscopy or phytoplankton identification experience.
  • Familiarity with plankton taxonomy references.

Working hours

  • 8 hours per day, 5 days a week, based in Jakarta (WIB). Start time is tentative and may shift.
  • During active projects, this may move to 6 days a week within the same weekly hour budget.
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