#49426 Video Annotation & Data Labeling Project

Jobgether; México; On-site; MXN 51,000 - 128,000; Full time

Benefits offered by this job

Pagamento via PayPal

Bônus de US$10 após certificação

Acesso a próximos lotes de tarefas

Projetos IA mais avançados

Onboarding estruturado

Flexibilidade por tarefa

Job summary

Aptidões de anotação de vídeo com foco em transformações de conteúdo visual em dados de treinamento para IA. O projeto exige atenção a detalhes, segmentação precisa e descrição apenas de ações observáveis. Benefícios incluem certificação, onboarding estruturado e acesso a futuros lotes de tarefas pagas.

Trabalhe de forma independente dentro de um ambiente orientado por processos. A remuneração horária varia conforme qualidade e produtividade, com pagamento via PayPal e bônus opcional após

Qualifications

• Atenção a detalhes para identificar diferenças sutis em conteúdo visual.
• Capacidade de descrever apenas o que é visível, sem suposições.
• Boa comunicação escrita em inglês.

Responsibilities

• Escrever resumos concisos de sequências de ação em inglês objetivo.
• Segmentar timelines de vídeo em seções de ação, com 2–3 segmentos por tarefa.
• Criar rótulos de ação em presente simples, apenas ações visíveis e verificáveis.
• Revisar legendas geradas pela IA para precisão e consistência.
• Identificar e corrigir inconsistências em anotações automáticas.
• Manter alto padrão de qualidade com precisão de 85–90%.

Skills

Atenção aos detalhes

Inglês escrito

Descrever apenas o visível

Job description

#49426 Video Annotation & Data Labeling Project

Salary: $2 - 5 hourly

Empresa: Jobgether

Tipo de empleo: Tiempo completo

Mexico

Descripción del trabajo - #49426 Video Annotation & Data Labeling Project

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 Mexico.

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.