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Junior Data Annotator — Lviv (Full-Time)

Logivations
Місто:
Львів
Рівень:
junior
Джерело:
jobs.dou.ua
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About Logivations

Adidas, DHL, IKEA, Heineken, Mercedes, Swarovski — and 30,000+ other users — work with software built by Logivations. We develop cloud-native solutions using cutting-edge technologies to transform logistics and operations worldwide. Learn more at www.logivations.com.

The Role

We are looking for a detail-oriented Junior Data Annotator to join our AI/ML team in Lviv. Your work will directly contribute to the quality of machine learning models used by leading global companies. No programming background is required — what matters is sharp analytical thinking, precision, and the ability to follow structured guidelines consistently.

This is an excellent entry-level opportunity for someone eager to step into the IT world and grow within an international tech environment.

What You’ll Do

Annotate and label datasets according to project-specific guidelines

Review, validate, and correct annotations to ensure quality and consistency

Identify edge cases and inconsistencies in data

Collaborate with the data team to resolve ambiguities and refine processes

Maintain productivity and quality metrics on a full-time basis (35–40 hours per week)

Adapt to evolving annotation techniques, tools, and project requirements

What You Bring

English reading comprehension at B1 level or above

High school diploma or equivalent or a student

Basic to intermediate computer proficiency

Strong attention to detail and analytical mindset

Ability to work independently, manage time effectively, and meet deadlines

Comfort with structured, rule-based, and repetitive tasks

Clear communication skills for cross-functional collaboration

Nice to Have

Prior experience in data annotation, data review, or a related field

Ability to identify patterns and edge cases in data

What We Offer

Decent compensation paid in EUR

Hybrid schedule (office and remote)

Direct impact on international AI/ML projects

Professional growth through training and cross-functional collaboration

How to Apply

Please send your CV in English.

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