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Jobs in New Zealand with languages
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Jobs in New Zealand with languages
1 job offers found
DESCRIPTION
DESCRIPTION
Join Welo Data as an English Digital Content Evaluation Specialist (New Zealand Market)
Remote | Freelance | Flexible Hours
About Us
Welo Data is a globally recognized, award-winning data transformation company powering some of the world’s most advanced AI programs. From generative AI to deep learning, we support leading tech giants with data that shapes the future.
We’re on the lookout for fluent English speakers with a deep understanding of English as spoken in New Zealand to join our global team as English Digital Content Evaluation Specialists. This is a flexible, remote freelance opportunity where you’ll help ensure top-tier digital content for the New Zealand market.
What You’ll Do
As a Digital Content Evaluation Specialist, you’ll play a critical role in refining and enhancing English-language content used in New Zealand. You’ll work with real-world data to assess and improve:
- Mobile and Smart TV Apps
- AI Assistant Responses
- Music, Videos, Books, and Podcasts
Your input will directly impact the quality and relevance of content for millions of users worldwide.
Is This You?
This role is perfect if you:
✔ Are intimately familiar with English as spoken in New Zealand
✔ Love a wide variety of content such as music, movies, TV shows, podcasts, and books
✔ Always notice issues in digital and streaming content that could easily be fixed
✔ Regularly use modern technologies like streaming apps, smartphones, smart TVs, and AI
Project Details
- Title: Digital Content Evaluation Specialist (New Zealand English Focus)
- Type: Freelance / Independent Contractor
- Location: Remote (must be located in New Zealand)
- Start Date: ASAP
- Schedule: Flexible, avg. 4 hours/day
- Duration: Ongoing
What You’ll Need
✅ Required
- Native fluency in English
- Residence in New Zealand for at least 5 years
- Ability to follow directions and provide feedback in English
- Ability to comply with project conventions and rules noted by the client in English
- Minimum 4 hours/week availability (as data volumes allow)
- Signed NDA to maintain data confidentiality (implied)
✅ Preferred
- Deep understanding of English as spoken in New Zealand, including slang and cultural nuances
- Broad cultural literacy and media awareness across generations and demographics in New Zealand
- Understanding of digital content ecosystems and distribution channels
- Understanding of online community dynamics and trends in New Zealand
- Deep interest and knowledge in modern technological developments
Why Join Welo Data?
When you join our network, you're not just taking a freelance gig—you’re becoming part of something bigger:
- Structured learning to build your skills and expand your portfolio
- Real-time support from our friendly Community Experience Team, 6 days a week (implied)
- Long-term opportunities across industries and technologies
- Career-enhancing experience with world-renowned tech leaders
Whether you're a student, a tech enthusiast, or a media-savvy linguist with a strong connection to New Zealand, this is a great opportunity to gain experience in AI, localization, and digital content analysis—all while keeping your schedule flexible.
Important Notes:
- Please note that all time spent on this application, including guidance on how to pass the client exam and be hired on the project, is unpaid.
- Inactivity after being hired can be cause for removal from the project.
- A laptop or personal computer is required for this project. Mobile devices are not acceptable.
- Welo Data uses state-of-the-art fraud detection systems to ensure all freelancers engaged in the project do not misrepresent their identity, location, or financial details.
How to Apply
Send us your CV and a brief statement of interest. Tell us why this role is right for you and highlight any experience with content evaluation, research, or tech platforms, especially any connection to New Zealand language and culture.
We can’t wait to meet you!
SKILLS
English Language
Social Media
Cultures
Artificial Intelligence
app ecosystems
streaming platforms
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