Data Annotator | $10/hr Remote

Crossing Hurdles; Indonesia; A distancia; IDR 197.223.000 - 246.528.000; A tiempo parcial

Descripción de la vacante

Crossing Hurdles is seeking a Video Data Annotator to review and annotate multimedia content remotely. You will assess AI-generated descriptions, ensure adherence to project guidelines, and flag questionable material with clear rationale.

The role emphasizes accuracy, consistency, and data confidentiality across high-volume submissions. The position requires demonstrated experience with annotation, strong English communication, and a proactive approach to quality assurance and process

Formación

• Experience with video and audio annotation or content labeling.
• Strong command of English; written feedback clarity.
• High attention to visual and audio details and data accuracy.
• Ability to work independently and adapt to changing guidelines.
• Familiarity with guideline-based evaluation and QA practices.
• Proactive in sharing process improvements with remote teams.
• Commitment to data confidentiality and ethical handling of sensitive information.

Responsabilidades

• Review and annotate short video and audio clips based on project guidelines.
• Assess accuracy and appropriateness of AI-generated descriptions for multimedia content.
• Evaluate content against moderation standards and flag uncertainties with rationale.
• Provide concise written feedback on AI outputs highlighting inaccuracies or ambiguities.
• Maintain data integrity across high submission volumes.
• Collaborate remotely with project managers and specialists to clarify guidelines.

Conocimientos

Video annotation

Audio annotation

English proficiency

Attention to detail

Independent work

Quality assurance

Process improvement

Remote collaboration

Confidentiality

Descripción del empleo

• Review and annotate short video and audio clips, labeling content accurately based on project-specific guidelines.
• Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.
• Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale.
• Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs.
• Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions.
• Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements.
• Safeguard all project data, adhering strictly to confidentiality and data protection standards.

Position: Video Data Annotator

Type: Contract

Compensation: $8 - $10/hour

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

• Review and annotate short video and audio clips, labeling content accurately based on project-specific guidelines.
• Assess the accuracy and appropriateness of AI-generated descriptions for diverse multimedia content.
• Evaluate content compliance against clear moderation standards, flagging uncertain or inappropriate material with detailed rationale.
• Provide clear, concise written feedback highlighting potential inaccuracies or ambiguities in AI outputs.
• Maintain rigorous attention to detail and consistency in annotation, ensuring data integrity across high volumes of submissions.
• Collaborate remotely with project managers and fellow specialists to clarify guidelines and support process improvements.
• Safeguard all project data, adhering strictly to confidentiality and data protection standards.

Requirements

• Demonstrated experience with video and audio annotation, content labeling, or content moderation for digital platforms.
• Strong command of English, with the ability to communicate feedback and findings clearly in written form.
• Excellent attention to visual and audio detail, with a track record of delivering high-accuracy data annotation.
• Experience working independently and adapting quickly to changing project requirements or guidelines.
• Familiarity with guideline-based evaluation and quality assurance practices.
• Proactive approach to identifying process improvements and sharing best practices with remote collaborators.
• Commitment to maintaining data confidentiality and ethical handling of sensitive information.