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Pengiklan Anonim is seeking a reliable Embodied AI Video Data Quality Inspector to join our on-site team in Jakarta. You will review AR-device videos, ensure they meet quality standards, and document defects with precise records for AI training.
Responsibilities include validating metadata, approving data, and recording results. The role requires Bahasa Indonesia proficiency, with basic English as an advantage, and involves a strict daily target of 6 hours of reviewed output within an 8-hour day.
Embodied AI Video Data Quality Inspector
About the Role
We are looking for a reliable and detail-oriented Video Data Quality Inspector to join our Embodied AI data operations team.
In this role, you will review video data collected using AR devices and ensure that every video meets the required quality standards before being approved for use in AI training. You will work closely with the Video Data Collection team to identify defects, document quality issues, and help improve the overall quality of collected data.
This position is suitable for candidates who are comfortable working with repetitive data-review tasks, detailed guidelines, quality inspection, and computer-based workflows.
Key Responsibilities:
Review AR-device video data based on established Quality Inspection Guidelines, SOPs, and project requirements.
Verify that videos are valid, complete, clear, correctly identified, and meet the required task, scene, capture, and metadata standards.
Approve qualified video data and accurately record inspection results, defects, and corrective actions.
Complete a minimum of 6 hours of valid and approved video review output within an 8-hour working day, while maintaining the required quality standards.
Identify recurring defects, unclear requirements, safety concerns, privacy issues, and other data-quality risks.
Participate in weekly meetings with the Video Data Collection team to discuss quality findings and provide evidence-based feedback.
Work collaboratively with internal teams to reduce recurring defects, rework, and data-quality issues.
Follow all approved data-handling procedures, workplace rules, and on-site safety requirements.
Requirements:
Minimum Diploma (D3) or Bachelor's degree (S1) in Engineering, Computer Science, Data Operations, Quality Management, Information Systems, Media Technology, or a related field.
Candidates with relevant practical experience may also be considered.
Strong attention to detail and ability to maintain accuracy when reviewing repetitive video content for extended periods.
Able to understand and consistently follow detailed guidelines, SOPs, and acceptance criteria.
Good analytical and problem-solving skills, with the ability to identify defects, assess their severity, and document findings clearly.
Comfortable using computers, video-review tools, spreadsheets, forms, and basic digital workflows.
Experience in data collection, data annotation, video QA, quality control, operations, retail, logistics, or data analysis is an advantage.
Good written and verbal communication skills in Bahasa Indonesia.
Basic English proficiency is an advantage.
High level of integrity and awareness of confidentiality, data privacy, and workplace safety.
What Success Looks Like:
Success in this role means consistently making accurate, traceable, and well-documented quality decisions while meeting the daily review target.
You will also contribute to reducing repeated defects and rework by providing clear, evidence-based feedback to the Video Data Collection team.
Working Arrangement:
Working Days: Monday–Friday
Work Location: On-site, former Tokopedia Tower office, Jakarta
Compensation: 35K/Hour
Only shortlisted candidates will be contacted for the next stage of the recruitment process.