Data Labeling & Content Moderation Specialist

Wizwiz-AI; Cavite City; Vor Ort; PHP 210.000 - 300.000; Vollzeit

Zusammenfassung

Wizwiz-AI is seeking sharp, tech-savvy individuals for data annotation, moderation, transcription, and labeling tasks in Cavite. Join a focused team that values accuracy, resilience, and adherence to project guidelines.

On-site positions require strong English communication, ability to handle high typing volumes, and alignment with shifting schedules. Successful candidates will maintain high data quality, meet KPIs, and collaborate with teammates to optimize performance while adapting to new

Qualifikationen

• Education: Bachelor's degree preferred; college-level or high school graduates may apply with relevant experience and basic computer proficiency required
• Relevant Experience: content moderation, data annotation, transcription, or similar roles preferred; open to fast learners without experience
• Willing to work on shifting schedules
• Candidates must demonstrate a willingness to work on-site in Bacoor City & Imus City Cavite

Aufgaben

• Review, label, and validate data according to project guidelines
• Moderate online content and flag inappropriate material
• Perform transcription tasks with high accuracy
• Ensure daily productivity targets and KPIs are met
• Maintain confidentiality, accuracy, and integrity of data
• Collaborate with team members to resolve issues
• Adapt quickly to new tools, processes, and project requirements

Kenntnisse

Attention to detail

Resilience

English communication

Teamwork

Adaptability

Tech-savvy

High typing volume

Ausbildung

Bachelor's degree preferred

Relevant experience acceptable without degree

Jobbeschreibung

Wizwiz-AI is seeking sharp, tech-savvy individuals for data annotation, moderation, transcription, and labeling tasks in Cavite. Join a focused team that values accuracy, resilience, and adherence to project guidelines.

On-site positions require strong English communication, ability to handle high typing volumes, and alignment with shifting schedules. Successful candidates will maintain high data quality, meet KPIs, and collaborate with teammates to optimize performance while adapting to new