Video Annotation & Data Labeling Specialist

Jobgether; Netherlands; On-site; EUR 24,000 - 36,000; Full time

Benefits offered by this job

Compensation $2.00–$5.00 per task

25–40 hours per week

All certification hours paid

Structured onboarding and training

Long-term project opportunities

Priority access to higher-paid tasks

Job summary

Jobgether, listing on behalf of a partner company based in the Netherlands, seeks a Video Annotation & Data Labeling Specialist. You will contribute to AI model development through high-quality video data annotation, segment sequences, label actions, and verify AI-generated descriptions for accuracy.

No prior professional experience is required; this entry-level role offers structured onboarding, training, and certification before transitioning to paid production work, with opportunities for

Qualifications

• No prior professional experience required; beginners welcome.
• Strong attention to detail and ability to identify specific actions in video content.
• Ability to describe only what is visibly observable without assumptions.
• Strong written English to produce clear, objective descriptions.
• Ability to follow detailed instructions, guidelines and quality standards.
• Commitment to achieving 95%+ accuracy.
• Ability to learn new annotation tools quickly.
• Reliable availability for 25–40 hours per week for long-term projects.
• Willingness to complete a ~3-hour onboarding and certification process.

Responsibilities

• 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 in annotations.
• Review AI-generated captions and fix inaccuracies and ambiguities.
• Follow project-specific annotation guidelines to ensure consistency.
• Maintain high accuracy and productivity across annotation batches.
• Complete onboarding and five certification tasks, then begin paid production work.
• Incorporate feedback from quality reviews to improve accuracy and consistency.

Skills

Attention to detail

Strong written English

Following guidelines

Learning quickly

Tools

Annotation platform

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 Video Annotation & Data Labeling Specialist based in Netherlands.

This role offers the opportunity to contribute directly to the development and improvement of next-generation AI models through high-quality video data annotation.
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 standards.


• 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.