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Sobre este puesto de Content Writer en Label Your Data

Label Your Data · Remoto · Kyiv, Kyiv city, Ukraine

Are you interested in technical content around AI and machine learning?

Label Your Data is looking for a Content Writer to create high-quality content for our blog, social media, and newsletter. You’ll help us build authority in the ML space as a specialist AI training data provider.

You’ll work closely with our Head of Content Marketing, who will provide context, priorities, feedback, and support while giving you room to take ownership of your work and contribute your own ideas.

What you will do:

  • Write SEO/AEO blog articles on AI/ML, data annotation, and related technical topics;
  • Create content for our social media channels and newsletter;
  • Monitor AI/ML news and industry trends, and suggest relevant content ideas;
  • Conduct in-depth research to produce technically accurate, audience-focused content;
  • Develop visual concepts and prepare clear design briefs for blog articles and social media posts;
  • Own content delivery end-to-end and take responsibility for its quality across blog and social media.


What we need:

  • Advanced English;
  • 3+ years of B2B content writing experience, ideally in tech or AI;
  • Prior experience writing about AI/ML, data science, or related technical topics;
  • Solid understanding of SEO/AEO principles and best practices;
  • Strong research skills and the ability to explain complex topics clearly;
  • Strategic content thinking: the ability to understand the audience, purpose, angle, and business goal behind each piece before writing;
  • Ability to connect audience challenges with Label Your Data’s expertise and how our team can help, rather than simply explain a topic broadly;
  • Responsible use of AI writing tools with rigorous human editing and fact-checking;
  • A proactive, self-organized, and results-oriented mindset, with a willingness to suggest ideas, take on new formats, and grow beyond assigned tasks;
  • Basic Figma experience would be a plus.


We offer:

  • Competitive monthly rate in USD;
  • Business hours;
  • Opportunity to work fully remotely;
  • Greenhouse conditions for self-development;
  • Inclusive international environment;
  • Supportive and collaborative team;
  • Paid intensive training and trial period;
  • Responsive management interested in your growth and long-lasting cooperation.

If you take ownership of your work, enjoy learning, and want to grow as a content specialist in the AI/ML space, we’d love to hear from you.

📌 Important: Please share no more than 3 portfolio pieces you’re most proud of and that best reflect our content expectations. Keep them organized in one place (no long link lists, multi-folder submissions, or published website links). Avoid surface-level pieces that start with a generic H2 “What is...?” explainer — we want to see your original thinking, audience understanding, and approach to shaping content.

*We celebrate diversity and are proud to be an equal opportunity employer.

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Sobre Label Your Data

Label Your Data is a global data annotation company supporting AI teams with high-quality, secure, and scalable annotation services for Computer Vision and NLP.

We’ve built a strong and diverse team of annotation specialists across Europe, LATAM, and Africa, and we’re proud to maintain a 98%+ annotation accuracy benchmark across more than 20 industries, including Automotive, Robotics, Healthcare, E-commerce, Agriculture, Retail, Fintech, and more.

Our company supports 55+ languages, and we are fully GDPR, HIPAA, and CCPA-compliant, with ISO/IEC 27001:2013 and PCI/DSS certifications — ensuring the highest standards of data security and confidentiality.

With team hubs in North America, the EU, and Asia, we’re growing fast — and we’re always looking for proactive, curious, and detail-oriented people to grow with us.

Our services include:

Image & video annotation (2D boxes, polygons, semantic segmentation, 3D cuboids, OCR, and more)
Text annotation (classification, named entity recognition, sentiment analysis, prompts creation, and more)
Audio annotation (transcription, emotion/sentiment recognition)
Sensor data annotation
Data classification & categorization
Data entry and collection
Model validation and QA

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