AI Trainer – Video Annotation

iMerit; Philippines; Remote; PHP 526,000 - 1,053,000; Full time

Job summary

iMerit Inc. is seeking an AI Trainer – Video Annotation to review short video clips, identify objects and actions, and evaluate movement clarity according to guidelines. This role is remote and open to detail-oriented individuals without prior AI experience.

Selected candidates undergo a certification process to determine project fit; successful completion does not guarantee assignment. Candidates must work independently in a remote setup and maintain accuracy, consistency, and high-quality

Qualifications

• Strong attention to detail and analytical thinking.
• Good written English proficiency and comprehension.
• Ability to understand and follow detailed instructions independently.
• Strong observation and evaluation skills.
• Commitment to accuracy, consistency, and quality.
• Ability to work independently in a remote environment.
• No previous experience in AI, robotics, or video annotation is required.

Responsibilities

• Review and annotate short video clips by identifying objects, actions, and events.
• Evaluate video quality, relevance, clarity, and accuracy according to established guidelines.
• Assess camera angles, visibility, and movement clarity.
• Rate video attributes, such as visual quality and camera perspectives, using a defined rating scale.
• Evaluate whether movements and actions appear clear, realistic, and plausible.
• Follow detailed annotation instructions and maintain consistency across assigned tasks.
• Identify potential quality issues and ensure annotations meet the required standards.

Skills

Attention to detail

Analytical thinking

Written English proficiency

Follow instructions

Observation skills

Independence/Remote work self-motivate

Remote work

No prior AI/ robotics experience not a

Job description

Job Description – AI Trainer – Video Annotation

Position:

AI Trainer – Video Annotation

Work Mode:

Remote

About the Role

Robotics AI is advancing rapidly, and high-quality video data plays a crucial role in helping intelligent systems understand real-world environments, objects, movements, and actions.

We are looking for detail-oriented individuals to participate in video annotation and evaluation projects. As an AI Trainer – Video Annotation, you will review short video clips, assess their quality and relevance, and evaluate the clarity and plausibility of movements based on established project guidelines.

No prior experience in AI or robotics is required. Selected candidates will need to complete a certification process to determine their suitability for the available projects.

Key Responsibilities

• Review and annotate short video clips by identifying objects, actions, and events.
• Evaluate video quality, relevance, clarity, and accuracy according to established guidelines.
• Assess camera angles, visibility, and movement clarity.
• Rate video attributes, such as visual quality and camera perspectives, using a defined rating scale.
• Evaluate whether movements and actions appear clear, realistic, and plausible.
• Follow detailed annotation instructions and maintain consistency across assigned tasks.
• Identify potential quality issues and ensure annotations meet the required standards.

Required Qualifications and Skills

• Strong attention to detail and analytical thinking.
• Good written English proficiency and comprehension.
• Ability to understand and follow detailed instructions independently.
• Strong observation and evaluation skills.
• Commitment to accuracy, consistency, and quality.
• Ability to work independently in a remote environment.
• No previous experience in AI, robotics, or video annotation is required.

What the Work Involves

Depending on the assigned project, tasks may include:

• Identifying and tagging objects, actions, or events in short videos.
• Rating video clarity, visual quality, or camera angles on a scale of 1 to 10.
• Assessing whether movements are clearly visible and appear plausible.
• Reviewing video content for relevance and adherence to project-specific guidelines.

Certification and Project Allocation

There are currently three projects available. Candidates are required to complete the certification process, which will help evaluate their skills and determine the most suitable project based on the applicable project requirements.

Successful completion of the certification process does not guarantee assignment to a specific project. Final project allocation will depend on the evaluation results and project requirements.

Work Arrangement

• Work Mode: Remote
• Project Allocation: Based on certification results and project requirements

If you are observant, detail-oriented, and interested in contributing to the development of robotics and AI technologies, this opportunity offers a chance to participate in projects that support the advancement of intelligent systems.