Job Title: AI Data Annotator
Location: Kazakshtan (Office Based)
About the Company:
We are partnering with a global technology leader focused on advancing artificial intelligence (AI) through high-quality, human-labeled data.
Our mission is to improve large language models (LLMs), the technology behind next-generation AI tools, by ensuring they understand languages, cultures, and contexts with accuracy and depth.
To achieve this, we are building a team of Russian-language data annotators across Latin America who can provide culturally informed, precise, and consistent labeling work.
About the Role:
As an AI Data Annotator, you will play a key role in training and improving AI models. You will read, evaluate, and create text in Spanish based on given guidelines, ensuring that the data reflects authentic language use and cultural relevance.
This is a full-time opportunity with potential for long-term collaboration based on performance.
Key Responsibilities:
- Annotate, label, and review Russian language text and content.
- Evaluate and improve the quality and cultural accuracy of AI-generated outputs.
- Generate short text samples, dialogues, and content as needed.
- Follow project-specific annotation guidelines and quality standards.
- Deliver consistent, accurate results while meeting deadlines.
Required Qualifications:
- Native-level of communication fluency (Russian or other Latin American countries).
- Bachelor’s degree or higher, any field (language, communication, or humanities preferred).
- Strong understanding of local culture, idioms, and social context.
- Excellent reading comprehension and written communication skills.
- Reliable internet connection and ability to work independently.
- Attention to detail and commitment to producing high-quality work.
Preferred Qualifications:
- Experience in data annotation, translation, content moderation, or writing.
- Background in linguistics, journalism, or related disciplines.
- Familiarity with AI or technology-related projects.
- Graduate students or professionals interested in long-term work.
Work Details:
- Full-time preferred; flexible scheduling possible.
- Paid per hour or per completed task.
- Initial 2-week pilot period to assess performance and task suitability.
- High-performing annotators may be invited for extended or permanent collaboration.
Compensation:
- Competitive pay aligned with local market standards.
- Rates may vary by experience and task complexity.
- Opportunity for increased rates and leadership roles as the project expands.
Why Join Us:
- Be part of a global AI initiative that shapes the future of language technology.
- Gain valuable experience in the fast-growing AI and language data field.
- Build a long-term professional relationship with an international tech organization.
Job Type: Full-time
Work Location: Remote