Data Labeling Specialist

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.

Requirements

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.

Benefits

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

Data Labeling Specialist

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