Bilingual Metadata Specialist (India)

Welo Global; India; À distance; INR 585 000 - 715 000; Plein temps

Résumé du poste

Welodata is seeking detail-driven bilingual metadata specialists to elevate the quality of metadata for music, TV, and film content. You will review and create metadata, perform QA, and collaborate with international teams to ensure accuracy and linguistic relevance.

The role is remote in India, with hours 1pm–9:30pm IST, starting as a 12-month contract and potential extension. Prior experience in QA or localization is preferred.

Qualifications

• 1+ year of experience in QA, data analysis, localization, or a similar role.
• Native-level proficiency in target language and business fluency in English.
• Strong spreadsheet skills and familiarity with data tools.

Responsabilités

• Execute functional and linguistic QA by accurately following testing instructions and test cases
• Adhere to project-specific quality standards, trademarks, style guides, checklists, and glossaries
• Review, create, and validate metadata for film, TV, and music content
• Log, track, and prioritize issues; provide clear, actionable feedback
• Meet productivity and quality targets while handling repetitive tasks
• Make informed judgment calls in ambiguous situations and elevate risks as needed
• Collaborate closely with cross-functional, international teams
• Ensure cultural and linguistic relevance for your target locale
• Communicate clearly in both spoken and written form

Connaissances

QA experience

Data analysis

Localization

Metadata management

Spreadsheet

English fluency

Cultural fluency

Media industry knowledge

Attention to detail

Prioritization

Outils

JIRA

CMS platforms

Description du poste

About the role:

Welodata is seeking detail-driven Bilingual Metadata Specialists to help elevate the quality of products and experiences used by global audiences. In this role, you will evaluate the quality of written and spoken content, review and create metadata for Music and TV applications, and collaborate with international teams to monitor and improve product quality and partner data integrations.

Project Details:

JobTitle:BilingualMetadataSpecialist

Duration: 12 Months contract with possible extension (Break: 30-minute unpaid lunch)

Working Hours / Schedule: 1pm - 9:30pm IST (Indian Standard Time)

Work Days: Tuesday–Saturday or Sunday–Thursday (set at management’s discretion)

Location: Remote- India

Pay rate/Yearly Salary: 6.5 LPA

What you’ll do

• Execute functional and linguistic QA by accurately following testing instructions and test cases
• Adhere to project-specific quality standards, trademarks, style guides, checklists, and glossaries
• Review, create, and validate metadata for film, TV, and music content
• Log, track, and prioritize issues; provide clear, actionable feedback
• Meet productivity and quality targets while handling repetitive tasks
• Make informed judgment calls in ambiguous situations and elevate risks as needed
• Collaborate closely with cross-functional, international teams
• Ensure cultural and linguistic relevance for your target locale
• Communicate clearly in both spoken and written form

₹6,50,000 - ₹6,50,000 a year

What you’ll bring

• Native-level proficiency and cultural fluency in your target language
• Business fluency in English
• 1+ year of experience in QA, data analysis, localization, or a similar role
• Strong spreadsheet skills (e.g., advanced formulas, filters, pivot tables)
• Up-to-date awareness of technical terminology in your target language
• Familiarity with mobile devices, tablets, and connected TV/streaming devices
• Highly organized, detail-oriented, and quality-focused
• Ability to prioritize tasks and issues quickly and efficiently
• Self-motivated, dependable, and comfortable with changing requirements
• Passion for and knowledge of the film and TV industry

Nice to have

• Experience with localization tools, bug-tracking systems (e.g., JIRA), or CMS platforms
• Knowledge of media metadata standards for film/TV and music
• Basic scripting or automation familiarity