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AI Trainers Network – Lithuanian

AI Summary
This is a talent-network opportunity for Lithuanian-speaking contributors supporting AI-data projects rather than an active, single-position opening. Contributors may annotate text, images, or audio; evaluate search, advertising, and chatbot outputs; and create or test prompts for LLMs. The work is remote, flexible, and project-based, with scope, timing, and compensation communicated before each assignment. Success depends on native or near-native Lithuanian, English proficiency, cultural awareness, careful judgment, and comfort using digital tools. Applicants must be based in Lithuania.
Remote from
🌐 Anywhere
Salary
Undisclosed
Employment
Contract
Experience
Open level
Published
Apply before
3 Dec 2026
Listing views
52
Application actions
2
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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 Lithuanian

– Based in: Lithuania

– 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 insightThe tasks are likely accessible to detail-oriented language contributors and do not require formal engineering expertise. Difficulty can vary by project, especially for nuanced cultural evaluation and prompt-quality work.

Salary analysis

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

Estimated job median (per hour)Market rate
$18
US market range (per hour)$15–$25
AI insightThe hourly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer pay rate is disclosed; compensation will be provided only when a project is offered. The hourly cadence and USD 18 median estimate, with an estimated USD 15–25 hourly market range, are inferred for flexible freelance AI-data annotation and language-evaluation work and are not employer-provided figures.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you maintain consistency while annotating a large volume of Lithuanian-language data?

I would first study the guidelines and examples carefully, create a checklist for recurring decisions, and apply the same criteria throughout the task. When I encounter ambiguity, I would document it and use the approved escalation process rather than making inconsistent assumptions.

How would you evaluate whether a chatbot answer is appropriate for Lithuanian users?

I would assess factual relevance, clarity, tone, safety, and whether the response uses natural Lithuanian. I would also check for cultural context, mistranslations, and wording that could be misleading or inappropriate locally.

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

I break the assignment into manageable milestones, confirm requirements at the start, and track progress against the deadline. I communicate early if I find a guideline issue or a risk to delivery, while keeping my work organized and secure.

What would you do if the project instructions conflict with an example in the task interface?

I would compare both sources carefully and avoid guessing. I would flag the discrepancy through the designated support channel, explain the specific conflict, and follow the most current confirmed guidance.

Why is cultural and linguistic expertise important in AI training data?

AI systems can produce poor results when data lacks local context or reflects inaccurate language use. A native contributor can identify nuances in meaning, register, idioms, and cultural appropriateness that automated checks may miss.

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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