Video Annotation & Data Labeling Specialist

Jobgether; Deutschland; Hybrid; EUR 2.400 - 5.900; Vollzeit

Benefits dieser Stelle

Paid onboarding & certification

Onboarding & training

Long-term projects

Flexible hours (25–40/wk)

Certified production readiness

Zusammenfassung

Jobgether, on behalf of a partner company, seeks a Video Annotation & Data Labeling Specialist based in Germany. You will analyze video content, segment sequences, and label observable actions with precise English descriptions.

No prior data-annotation experience required; you will receive structured training and certification before entering paid production work. Consistent, high-quality performance can lead to access to more advanced AI data projects.

Qualifikationen

• Strong attention to detail and the ability to identify specific actions and events in video content.
• Strong written English skills with the ability to produce clear, concise, and objective descriptions.
• Ability to follow detailed instructions, annotation guidelines, and quality standards.

Aufgaben

• Write objective, concise 1–2 sentence summaries of video sequences using simple and accurate English.
• Segment videos into clearly defined, action-based sequences without gaps or overlaps.
• Label and describe only actions that are directly and visually verifiable in the video.
• Use simple present tense and consistent terminology when creating annotations.
• Review AI-generated captions and correct inaccuracies or unclear descriptions.
• Follow project-specific annotation guidelines precisely to ensure consistency.

Kenntnisse

Attention to detail

English writing

Instruction following

Accuracy 95%

Time management

Learning ability

Tools

Annotation platform

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Video Annotation & Data Labeling Specialist based in Germany.

You will analyze video content, segment sequences, label observable actions, and verify AI-generated descriptions for accuracy.
No previous professional experience is required, making this an accessible opportunity for candidates who are detail-oriented and eager to learn.
You will receive structured training and certification before progressing to paid production work.
Consistent, high-quality performance can provide priority access to more advanced and higher-paid AI data projects.
The role is designed for reliable contributors who can follow precise guidelines and maintain strong accuracy across large volumes of annotation tasks.

Accountabilities

• Write objective, concise 1–2 sentence summaries of video sequences using simple and accurate English.
• Segment videos into clearly defined, action-based sequences without gaps or overlaps.
• Label and describe only actions that are directly and visually verifiable in the video.
• Use simple present tense and consistent terminology when creating annotations.
• Review AI-generated captions and identify or correct inaccuracies, inconsistencies, and unclear descriptions.
• Follow project-specific annotation guidelines precisely to ensure consistency across datasets.
• Maintain a high level of accuracy and productivity while completing assigned annotation batches.
• Complete the required onboarding and certification activities, including reviewing guidelines, practicing with the annotation platform, and successfully completing five certification tasks.
• Apply feedback from quality reviews to continuously improve annotation accuracy and consistency.

Requirements

• No previous professional experience in data annotation or AI is required; beginners are welcome.
• Strong attention to detail and the ability to identify specific actions and events in video content.
• Ability to describe only what is visibly observable without making assumptions, interpretations, or unsupported conclusions.
• Strong written English skills with the ability to produce clear, concise, and objective descriptions.
• Ability to consistently follow detailed instructions, annotation guidelines, and quality standard.
• Commitment to maintaining a target benchmark of 95%+ accuracy.
• Strong organizational skills and the ability to manage repetitive tasks while maintaining accuracy and focus.
• Ability to learn new annotation tools and workflows quickly.
• Reliable availability for 25–40 hours per week for long-term data annotation projects.
• Willingness to complete an approximately 3-hour certification and onboarding process before entering paid production work.

Benefits

• Compensation of $2.00–$5.00, depending on verified quality and productivity.
• 25–40 hours per week of dedicated, long-term data annotation opportunities.
• No prior professional experience required, with beginners encouraged to apply.
• Structured onboarding, training materials, and practical experience with an annotation platform.
• Certification process designed to prepare contributors for paid production work.
• All certification hours are paid once you begin performing production tasks.
• Priority access to advanced and higher-paid projects based on successful performance.
• Opportunity to gain practical experience contributing to AI model development and verification.
• Long-term project opportunities for consistent, high-quality contributors.

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!

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.