Video Annotation & Data Labeling Specialist

Jobgether; Ireland; On-site; EUR 3,074,000 - 12,297,000; Part time

Benefits offered by this job

Structured onboarding

Paid certification hours

All certification hours paid

Priority access to advanced projects

Long-term project opportunities

Job summary

Jobgether, on behalf of a partner company, seeks a Video Annotation & Data Labeling Specialist based in Ireland. You will analyze video content, segment sequences, label actions, and verify AI-generated descriptions for accuracy.

No prior experience required; structured onboarding and certification precede paid production work, with long-term project opportunities and 95%+ accuracy targets.

Qualifications

• No previous professional experience in data annotation or AI is required; beginners are welcome.
• You will describe only what is visibly observable, not interpretive.
• Target accuracy of 95%+ and adherence to guidelines.
• Available for 25–40 hours per week on long-term projects.
• 3‑hour onboarding and certification before paid production work.

Responsibilities

• Write objective, concise 1–2 sentence summaries of video sequences.
• Segment videos into clearly defined action-based sequences.
• Label and describe only observable actions in the video.
• Use simple present tense and consistent terminology.
• Review AI-generated captions for accuracy and consistency.
• Follow project-specific annotation guidelines precisely.
• Maintain high accuracy and productivity across batches.
• Complete onboarding, certification tasks, and ongoing training.

Skills

Attention to detail

Written English

Instruction following

Time management

Learner mindset

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 Ireland.

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.