#49426 Video Annotation & Data Labeling Project

Jobgether; Italia; In loco; EUR 2400 - 6000; Tempo pieno

Vantaggi offerti da questo lavoro

PayPal payments

Bonus on certification

Structured onboarding

Priority project access

Future task access

Descrizione del lavoro

Jobgether is seeking contributors to label and annotate video data for an AI training project based in Italy. You will describe only observable actions, segment timelines, and maintain strict annotation guidelines to ensure high accuracy.

The role emphasizes objective English descriptions, adherence to processes, and a structured onboarding with certification. It offers a long-term project with potential access to more advanced tasks after certification.

Competenze

• Strong attention to detail and the ability to identify subtle differences in visual content.
• Describe only what is visibly observable without assumptions.
• High-accuracy and productivity targets (85-90%+).
• Ability to follow detailed guidelines precisely across many tasks.

Mansioni

• Write concise 1-2 sentence summaries of video actions in objective English.
• Segment video timelines into 2–3 action-based parts with no gaps.
• Create action labels using simple present tense and verifiable actions.
• Review and edit AI-generated captions for consistency and accuracy.
• Identify and correct inconsistencies in automated annotations.

Conoscenze

Attention to detail

Clear descriptions

English writing

Guideline compliance

Fast but accurate work

Descrizione del lavoro

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 Italy.

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.