Freelancer Monolingual Data Labeling Contributor (Polish) - Remote
About the Role
We are looking for a Freelancer Monolingual Data Labeling Contributor (Polish) - Remote to join our innovative team at LILT. In this role, you will contribute to monolingual data labeling tasks in Polish, focusing on generating realistic text samples and proofreading AI-generated content. This is a fantastic opportunity for those who are passionate about language and AI, and it offers the flexibility of remote work.
What You'll Do
- Generate short text samples such as emails, SMS, and social media posts.
- Follow specific guidelines for text creation to ensure quality and consistency.
- Proofread and adapt AI-generated content to enhance its readability and accuracy.
- Collaborate with a team of professionals to meet project deadlines.
- Participate in a short test before onboarding to demonstrate your skills.
Requirements
- Native-level fluency in Polish.
- Good knowledge of English is required.
- Ability to follow detailed instructions and guidelines.
- Creativity and accuracy in producing realistic content.
- Experience in data labeling or content creation is a plus.
Nice to Have
- Familiarity with AI content generation tools.
- Previous freelance experience in writing or editing.
What We Offer
- Work remotely from anywhere in the world.
- Flexible working hours to accommodate your schedule.
- Opportunity to contribute to innovative projects that impact the AI landscape.
- Payments made through Tipalti for your convenience.
- Estimated project duration of 1 to 3 months, with potential for future opportunities.
This remote position offers flexibility and the chance to work on innovative AI projects. Ideal for Polish speakers looking to contribute creatively.
Who Will Succeed Here
Proficient in both Polish and English, with a strong understanding of language nuances to effectively label and proofread AI-generated content.
Self-motivated and detail-oriented, able to work independently in a remote setting while managing time efficiently to meet deadlines for data labeling tasks.
Familiar with basic data labeling tools and platforms, such as Labelbox or Amazon SageMaker, and possesses a willingness to learn new technologies related to data annotation.
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