#49426 Video Annotation & Data Labeling Project

Jobgether; Schweiz; Vor Ort; CHF 2.200 - 5.600; Vollzeit

Benefits dieser Stelle

PayPal payments

Certification bonus

Access to more tasks

Priority project access

Structured onboarding

Flexible task-based work

Zusammenfassung

Jobgether is listing this opportunity on behalf of a partner company based in Switzerland. The project focuses on video annotation and data labeling to train AI systems, emphasizing accuracy and adherence to guidelines.

Contributors will segment videos, write concise action descriptions, and review AI-generated captions, earning a competitive hourly rate and potential access to higher-paid future tasks. Structured onboarding, certification, and quality standards support success.

Qualifikationen

• Strong attention to detail and the ability to identify subtle inconsistencies in visual content.
• Describe only what is visibly observable without assumptions.
• Strong written English and the ability to communicate actions using clear, simple, and consistent language.
• Follow detailed guidelines precisely and apply the same rules across a large volume of tasks.
• Maintain an 85-90%+ benchmark accuracy.
• Work efficiently toward a 1-minute video annotation workflow in approximately 4 minutes.

Aufgaben

• 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 with a minimum of 2-3 segments per task, ensuring no gaps or overlaps.
• Create action labels using simple present tense and describe only visually verifiable actions.
• Review and edit AI-generated captions to ensure accuracy, consistency, and project guideline compliance.
• Identify and correct inconsistencies or inaccuracies in automatically generated annotations.
• Maintain a high level of annotation quality, targeting 85-90%+ accuracy.
• Complete annotation workflows efficiently, with a productivity benchmark of ~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 during repetitive tasks.

Kenntnisse

Attention to detail

Written English

Follow guidelines

Quality orientation

Productivity targets

Keyboard shortcuts

Independent work

Jobbeschreibung

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 Switzerland.

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.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.