Video Data Quality Inspector - Embodied AI

RoboMetrics AI; Jakarta Selatan; On-site; IDR 39,778,000 - 56,654,000; Part time

Job summary

RoboMetrics AI in Jakarta – On-site is seeking a meticulous Video Data Quality Inspector to review AR-device videos and ensure they meet quality standards for AI training.

You will document defects, follow strict guidelines, and collaborate with the Video Data Collection team to reduce data-quality issues while maintaining confidentiality and safety requirements.

Qualifications

• Must have Diploma (D3) or Bachelor's degree (S1) in a related field or practical experience considered.
• Excellent attention to detail and accuracy when reviewing repetitive video content.
• Ability to understand and follow detailed guidelines, SOPs, and acceptance criteria.

Responsibilities

• Review AR-device video data based on Quality Inspection Guidelines and SOPs.
• Verify videos are valid, complete, clear, correctly identified and meet metadata standards.
• Approve qualified video data and record inspection results, defects, and corrective actions.
• Complete a minimum of 6 hours of approved video review output per 8-hour day.
• Identify recurring defects, privacy issues, and data-quality risks.
• Escalate unclear or critical issues to team lead.
• Participate in weekly meetings to discuss quality findings.

Skills

Attention to detail

Analytical thinking

Communication skills

Problem solving

Education

Diploma or Bachelor's degree

Tools

Video review tools

Spreadsheets

Digital workflows

Job description

Video Data Quality Inspector - Embodied AI

Embodied AI Video Data Quality Inspector

Location: Jakarta – On-site (Former Tokopedia Tower Office)
Employment Type: Mitra / Freelance
Working Schedule: Monday–Friday, 8 hours/day
Compensation: 35K/Hour

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.

Escalate unclear or critical issues to the appropriate team lead.

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.

Maintain confidentiality of project information and video data.

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 English.

Reliable, punctual, honest, and comfortable working with feedback and cross-functional teams.

High level of integrity and awareness of confidentiality, data privacy, and workplace safety.

What We’re Looking For:

We value candidates who are:

Detail-oriented and consistent

Patient and focused when performing repetitive review tasks

Analytical and able to identify patterns and recurring issues

Disciplined in following SOPs and quality standards

Responsible with confidential data

Open to feedback and willing to collaborate with operational teams

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.

Only shortlisted candidates will be contacted for the next stage of the recruitment process.