Construction & Heavy Equipment SME — AI Video Annotation

Innodata Inc.; Philippines; On-site; PHP 400,000 - 600,000; Full time

Job summary

Innodata Inc. is seeking a Construction & Heavy Equipment SME to support an AI video annotation project involving construction sites, heavy machinery, and equipment operations.

You will review footage, translate field activities into clear task categories and label definitions, and support onboarding and calibration with the annotation and QA teams. The role requires practical industry knowledge to identify equipment and operating states and to explain terminology to non-industry annotators.

Qualifications

• Minimum 3 years of hands-on construction or heavy-equipment experience.
• Ability to identify equipment, activities, and operating states on-site.
• Strong written and verbal English communication.
• Capable of learning annotation tools and online review platforms.

Responsibilities

• Review video footage to identify equipment, activities, operator actions, and operating states.
• Break down work sequences into observable annotation tasks and categories.
• Define label definitions, inclusion/exclusion rules, and task taxonomy.
• Support onboarding, training, calibration, and alignment sessions for the team.
• Escalate unclear or difficult cases and seek client clarification when needed.
• Maintain confidentiality and adhere to data-security requirements.

Skills

Visual observation

Analytical judgment

Attention to detail

Consistency

English communication

Job description

Innodata Inc. is seeking a Construction & Heavy Equipment SME to support an AI video annotation project involving construction sites, heavy machinery, and equipment operations.

You will review footage, translate field activities into clear task categories and label definitions, and support onboarding and calibration with the annotation and QA teams. The role requires practical industry knowledge to identify equipment and operating states and to explain terminology to non-industry annotators.