Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
AI Trainers Network – Twi
- Remote from
- 🌐 Anywhere
- Salary
- Undisclosed
- Department
- Data Science & Analytics
- Employment
- Full Time
- Experience
- Open level
- Published
- Apply before
- 3 Dec 2026
- Listing views
- 30
- Application actions
- 1
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About this role.
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.
What You’ll Need
– Native or near-native fluency in Twi
– Based in: Worldwide, Remote
– English proficiency
– Comfortable with digital tools
– Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.
Compensation
Additional Information
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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Role DNA
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Pace & Pressure
3/5Autonomy Level
5/5Communication Load
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Core skills
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Sample interview questions
I would carefully apply the project guidelines, verify the intended meaning and context of each item, and consider regional language usage where relevant. I would flag ambiguous cases rather than make unsupported assumptions.
I would assess whether the response is relevant, factually appropriate, fluent, safe, respectful, and natural for Twi speakers. I would document specific issues, such as mistranslation, unnatural phrasing, missing context, or cultural insensitivity.
I would follow the current documented project instructions and use the designated escalation or feedback process to report the conflict. I would avoid changing labels or criteria based only on personal interpretation.
I work in focused batches, review my decisions for consistency, and take brief planned breaks to avoid fatigue. I also use any available quality checks and revisit uncertain items before submission.
AI systems can produce inaccurate or harmful outputs when training data misses local meanings, idioms, and social context. Linguistic contributors help ensure that models understand and respond appropriately to diverse users.
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