Jobs Companies Label Your Data Legal Counsel

About this Legal Counsel role at Label Your Data

Label Your Data · Remote · Ukraine

At Label Your Data, we are looking for a Legal Counsel who is eager to apply their knowledge of international law, gain experience working with an IT company, communicate with clients from all over the world, and collaborate on interesting and complex tasks.

Sounds exciting? There’s more to come 😎

🔺 What you will be doing:

  • Draft, review, and manage commercial agreements, including Master Service Agreements (MSAs), Non-Disclosure Agreements (NDAs), assignment agreements, and other client- and supplier-related contracts;
  • Support contractual matters involving both Ukrainian and international counterparties;
  • Conduct legal due diligence and assess legal risks related to suppliers, contractors, and business partnerships;
  • Provide legal advice and support to internal stakeholders (HR, IT, Marketing, Finance, Operations) on contractual, commercial, and compliance-related matters;
  • Manage debt recovery and accounts receivable legal matters, including advising on collection strategies, negotiating repayment arrangements, resolving payment disputes, and coordinating with internal stakeholders and external counsel to mitigate financial risk;
  • Assist with maintaining and updating internal legal templates, policies, and contractual processes;
  • Monitor legislative and regulatory changes relevant to the business and recommend necessary updates to internal policies and contractual frameworks;
  • Collaborate with external legal advisors when needed on specialized or cross-border matters.

🔺 What We’re Looking For:

  • Master’s degree in law;
  • Fluency in English and Ukrainian, including legal drafting;
  • 2+ years of professional legal experience in commercial, corporate, or technology law;
  • Foundational knowledge of data protection and privacy laws, such as GDPR and related regulations;
  • Proven hands-on experience negotiating, drafting, and reviewing contracts with clients and suppliers;
  • Strong analytical, legal, and research skills with attention to detail;
  • Goal-oriented, proactive, and comfortable working in a fast-paced, business-driven environment.

🔺 Will Be a Plus:

  • Previous experience with international agreements and counterparties would be a plus;
  • Experience working in IT, outsourcing, SaaS, or international business environments;

🔺 Why Label Your Data:

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

If you’ve made it this far, there’s a strong chance this role resonates with your experience and ambitions — we’d be glad to connect and discuss it further.

Requirements

Benefits

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About 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

See all jobs at Label Your Data →

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