We are looking for a detail-oriented, highly motivated Data Labeling Specialist to join our growing Data Innovation team. The ideal candidate will have a strong attention to detail, a passion for data accuracy, and the ability to work efficiently in a fast-paced environment.

Responsibilities

•  Data Annotation: Accurately label, categorize, and annotate datasets following detailed guidelines and project requirements.
•  Collaboration: Work closely with Data Scientists, Engineers, and Team Leads to clarify labeling instructions and provide feedback on data quality.
•  Quality Assurance: Review and validate labeled data to ensure consistency, accuracy, and completeness.
•  Tool Usage: Utilize data annotation tools and platforms effectively, adhering to project deadlines and quality benchmarks.
•  Documentation: Follow and contribute to labeling documentation, including guidelines and best practices.
•  Process Improvement: Identify and suggest improvements to labeling workflows to increase efficiency and maintain high data quality standards.
•  Feedback Integration: Implement feedback from quality control checks and Team Leads to continuously improve performance.

• 1+ year of experience in data labeling, data entry, or a similar data-related role.
• Strong attention to detail and commitment to delivering accurate, high-quality work.
• Familiarity with data annotation tools and processes is a plus.
• Ability to follow detailed instructions and adapt to changing project guidelines.
• Strong organizational skills and ability to manage multiple tasks and deadlines.
• Effective communication skills, with the ability to collaborate with both technical and non-technical team members.
• Basic understanding of AI/ML concepts and workflows is an advantage.
• Bachelor’s degree preferred, but not required.

• Opportunity to represent the global leader in robotic wind turbine maintenance and inspection services, working in a supportive and developing work environment and culture.
• A modern and comfortable office location at Katlakalna iela 11E, Riga.
• Well-equipped kitchen with healthy snacks.
• Friendly and knowledgeable colleagues, as well as team events.
• Health insurance after the probationary period and additional funding for the purchase of glasses.
• Necessary equipment for the job.
• Birthday gifts.
• Paid study leave.
• An additional 3 days of leave per year, which can be taken as needed.
• Gifts and additional funding for special occasions (marriage, birth of a child).
• Salary ranging from EUR 1000 to EUR 1400 per month before taxes.