#49426 Video Annotation & Data Labeling Project

Jobgether; Ireland; On-site; EUR 2,400 - 5,900; Full time

Benefits offered by this job

PayPal bonus

Certification onboarding

Long-term project

Flexible hours

Job summary

Partner Company in Ireland is seeking reliable contributors for a long-term AI data project focused on video annotation and labeling. You will handle video captioning, timeline segmentation, action labeling, and verify AI-generated content against strict guidelines.

The role emphasizes attention to detail, objective description, and consistency, with onboarding and certification provided to master workflows and quality standards. Flexible, task-based work within a structured process.

Qualifications

• Must have strong attention to detail and the ability to spot subtle differences in visuals.
• Must describe only what is visibly observable, no assumptions or inferences.
• Excellent written English and ability to use clear, consistent language.
• Follow detailed guidelines precisely and consistently across many tasks.
• Ability to achieve high accuracy (85–90%+ benchmark).
• Capacity to complete a 1-minute video workflow in ~4 minutes.

Responsibilities

• Write concise 1–2 sentence summaries of video action sequences in objective English.
• Segment video timelines into 2–3 action-based segments with no gaps or overlaps.
• Create action labels in simple present tense, describable on screen.
• Review and edit AI-generated captions for accuracy and consistency.
• Identify and correct inconsistencies in automatically generated annotations.
• Maintain high annotation quality and productivity targets.
• Use keyboard shortcuts and workflows to complete tasks efficiently.
• Run required background screen-recording software during tasks.
• Follow all project procedures, quality standards, and certification requirements.
• Maintain concentration during repetitive, detail-oriented work.
• Work independently within a structured, process-driven environment.
• Complete an approximately 3-hour certification and onboarding process.
• Review training materials and pass 5 certification tasks within the time limit.

Skills

Attention to detail

English writing

Guideline compliance

Independent work

Tools

Screen recording software

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a #49426 Video Annotation & Data Labeling Project based in Ireland. Join a long-term AI data project focused on transforming video content into high-quality training data for advanced AI systems. You will work on video captioning, timeline segmentation, action labeling, and AI-generated content verification. The role requires exceptional attention to detail and the ability to describe only what can be objectively verified on screen. You will follow precise annotation guidelines while maintaining strong accuracy, consistency, and productivity. Successful contributors can gain priority access to more advanced and higher-paid AI data projects. The project provides structured onboarding and certification to help you master the required workflows and quality standards. It is an opportunity to contribute directly to the development and improvement of next-generation AI models while working within a quality-focused environment.

Accountabilities

• Write concise 1–2 sentence summaries of video action sequences using simple, objective English and following strict annotation guidelines.
• Segment video timelines into discrete, action-based sections, ensuring a minimum of 2–3 segments per task with no gaps or overlaps.
• Create action labels using simple present tense and describe only actions that are directly and visually verifiable.
• Review and edit AI-generated captions to ensure accuracy, consistency, and compliance with project guidelines.
• Identify and correct inconsistencies or inaccuracies in automatically generated annotations.
• Maintain a high level of annotation quality, targeting benchmark accuracy of 85–90% or higher.
• Complete annotation workflows efficiently, with an expected productivity benchmark of approximately 4 minutes per minute of video.
• Use keyboard shortcuts and established workflow tools to complete tasks efficiently.
• Run required background screen-recording software during task execution.
• Follow all project procedures, productivity expectations, quality standards, and certification requirements.
• Maintain concentration and consistency throughout repetitive, detail-oriented annotation tasks.

Requirements

• Strong attention to detail and a demonstrated ability to identify subtle differences or inconsistencies in visual content.
• Ability to describe only what is visibly observable without assumptions, interpretations, or inferred information.
• Strong written English skills and the ability to communicate actions using clear, simple, and consistent language.
• Ability to follow detailed guidelines precisely and apply the same rules consistently across a large volume of tasks.
• Strong accuracy and quality orientation, with the ability to achieve and maintain an 85–90%+ benchmark accuracy level.
• Ability to work efficiently toward productivity targets and complete a 1-minute video annotation workflow in approximately 4 minutes.
• Comfortable learning and using keyboard shortcuts and structured digital workflows.
• Ability to run background screen-recording software while completing assigned tasks.
• Strong focus and discipline when working on repetitive, quality-sensitive activities.
• Comfortable working independently within a structured, process-driven environment.
• Willingness to complete an approximately 3-hour certification and onboarding process.
• Ability to review training materials, complete practice tasks, and successfully pass 5 certification tasks within the required 4-minute-per-video time limit.

Benefits

• Competitive project-based rate of $2.00–$5.00 per hour, depending on verified quality and productivity.
• One-time $10 bonus via PayPal after successfully completing the certification process.
• Access to upcoming batches of paid annotation tasks after certification.
• Priority access to more advanced and higher-paid AI data projects for successful contributors.
• Structured onboarding with guidelines, training videos, practice tasks, and certification support.
• Opportunity to build practical experience in AI data annotation, video understanding, model evaluation, and AI quality assurance.
• Flexible task-based work within a long-term AI data project.
• Payments processed securely through PayPal.