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AI Trainers Network – Turkish

AI Summary
This is a remote talent-network opportunity for Turkish-speaking contributors who may support AI data projects as assignments become available. Potential work includes annotating text, images, and audio; evaluating search, advertising, and chatbot outputs; and creating or testing prompts for LLMs. Contributors must have native or near-native Turkish, English proficiency, cultural awareness, digital-tool comfort, and strong attention to detail. The opportunity is project-based rather than an active, guaranteed position, with individual scope, timeline, and compensation shared before each project. Eligible contributors must be based in Türkiye or Cyprus.
Remote from
🌐 Anywhere
Salary
Undisclosed
Employment
Contract
Experience
Open level
Published
Apply before
3 Dec 2026
Listing views
28
Application actions
1
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Opportunity details

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 Turkish

– Based in: Turkey, Cyprus

– 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

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

2/5
EasyHard

Pace & Pressure

3/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

3/5
IndependentCollaborative
AI insightTasks are likely accessible to detail-oriented language contributors, but quality standards, nuanced Turkish-language judgment, and cultural accuracy require consistent concentration. Project workload and complexity may vary substantially by assignment.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per hour)Market rate
$15
US market range (per hour)$10–$25
AI insightThe hourly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer pay is disclosed. The hourly cadence and USD 15 median estimate are inferred for flexible, project-based Turkish AI data annotation and evaluation work; actual project compensation may differ by task complexity, volume, and location.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you ensure consistency when annotating a large set of Turkish-language examples?

I would first study the project guidelines and examples carefully, document any edge cases, and apply the same decision criteria throughout the task. I would also perform regular self-checks on completed items and raise ambiguous cases through the designated project channel.

What factors would you consider when evaluating whether a chatbot response is appropriate in Turkish?

I would assess factual relevance, clarity, tone, grammar, cultural appropriateness, and whether the answer follows the user’s intent. I would also identify unsafe, biased, misleading, or unnatural phrasing that may not be suitable for Turkish-speaking users.

Describe your approach to working independently on a remote, deadline-based project.

I break the work into manageable blocks, confirm the requirements before starting, track progress against the deadline, and maintain a distraction-free work routine. If I encounter an issue that could affect quality or timing, I communicate it early.

How would you handle an annotation guideline that appears unclear or conflicts with an example?

I would compare the conflicting parts carefully, avoid making unsupported assumptions, and submit a concise clarification request with a specific example. Until clarified, I would keep similar cases identified so they can be reviewed consistently.

Why is cultural awareness important in AI training data?

AI systems learn patterns from the data they receive, so culturally inaccurate or insensitive examples can lead to poor user experiences and biased outputs. Native linguistic and cultural judgment helps ensure data is natural, relevant, inclusive, and appropriate for local users.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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