Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
AI Trainers Network – Kyrgyz
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- Remote from
- 🌐 Anywhere
- Salary
- Undisclosed
- Department
- Data Science & Analytics
- Employment
- Contract
- Experience
- Open level
- Published
- Apply before
- 3 Dec 2026
- Listing views
- 33
- Application actions
- 2
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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 Kyrgyz
– Based in: Kyrgyzstan, 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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The role, at a glance.
This is a remote talent-network opportunity for Kyrgyz-language contributors rather than an active, guaranteed vacancy. Contributors may support AI training through data annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. The work is project-based and flexible, with project scope, timelines, and compensation shared before acceptance. Native or near-native Kyrgyz fluency, English proficiency, digital-tool comfort, and close attention to detail are central requirements. Successful contributors will apply consistent judgment while following project-specific instructions independently.
Role DNA
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Pace & Pressure
3/5Autonomy Level
5/5Communication Load
2/5Salary analysis
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Core skills
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Sample interview questions
I would carefully study the project guidelines, review examples for each label, and maintain a personal reference of approved edge-case decisions. I would also perform regular self-checks and raise unclear cases through the designated project channel rather than guessing.
I would assess language accuracy, tone, local context, politeness, and whether the response contains assumptions or references that may be inappropriate or unfamiliar. I would apply the project rubric and document specific reasons for any quality concerns.
I would confirm the task requirements and expected output first, break the workload into daily targets, and reserve time for quality review before submission. I would communicate promptly if a guideline or technical issue could affect delivery.
I would revisit the definitions and precedence rules in the instructions, compare the item with provided examples, and select the label best supported by the rubric. If the ambiguity remains, I would flag the item for clarification according to the project process.
Attention to detail helps ensure training data is accurate and consistent, which directly affects model quality. English proficiency is important because project instructions, tools, and communication may be provided in English even when the evaluated content is in Kyrgyz.
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