AI Data Annotator (Dutch-speaking)

Deskripsi pekerjaan AI Data Annotator (Dutch-speaking) AiSensum (PT Aisensum Bigdata Analytics)

ABOUT AISENSUM

AISensum builds and deploys AI teammates (Daniel, Sasha, and Nicole) that work inside enterprise business processes to drive measurable outcomes. Daniel handles revenue intelligence. Sasha drives time and cost automation. Nicole lifts quality and productivity across frontline operations.

We have deployed across Southeast Asia for enterprises including Uniqlo, Nestlé, Indofood, P&G, ASICS, Combiphar, Siloam Hospitals, and TimeZone. We are now expanding our AI data operations to support a Netherlands-based enterprise client — which is why we need you.

Human in the Lead. AI teammates in the background.

JOB CHALLENGE

Together with our Netherlands client, we are deploying a Dutch-language voice AI system that evaluates frontline worker performance against standard operating procedures. The AI listens to real workplace conversations and determines whether the right things were said, in the right way, at the right moment.

Before that system can work, it needs to be trained on correctly labelled audio. That's your job. As a Data Annotator, you will listen to Dutch-language audio recordings and mark whether the speaker followed the expected script — what was said, what was missed, and what deviated from the SOP. You are not writing the rules. You are applying them, consistently, at volume.

If you label it right, the AI learns right. If the AI learns right, the client's workers get fair, accurate evaluations. The quality of your annotation is the foundation everything else is built on.

SCOPE OF WORK

Listen to Dutch-language audio recordings of frontline worker interactions and assess whether the speaker followed the required SOP at each step.

Label each recording accurately; marking what was said correctly, what was missed, and what deviated from the expected script.

Document annotation findings with specific detail: not just a pass/fail, but what exactly was said or omitted and where in the interaction it occurred.

• Flag ambiguous cases with clear notes so the QC team can make a final call; do not guess when the audio is unclear.
• Meet daily annotation targets within the assigned deadline window.
• Track and log completed sets accurately using the provided tracking tools.

Participate in calibration sessions when SOP guidelines are updated to ensure your annotation standard stays aligned with the client's expectations.

Maintain consistency across sessions; same judgment criteria, same level of attention, same documentation standard throughout the project.