Ładowanie...
Junior ML Engineer
Harvey Nash Technology
🛠 Wymagane technologieDane źródłowe
AI Insights
Czym naprawdę jest ta rola?Data Annotator / AI Data Labeler
This role is essentially a data annotator position, not a traditional ML engineering job. Despite the 'Junior ML Engineer' title, the core daily work involves labeling and evaluating multi-modal data for generative AI projects. You will follow strict guidelines to annotate data accurately, ensuring high quality and consistency. The team is likely focused on preparing training data for AI models. If you expect to build models, deploy pipelines, or write production code, this is not that role.
Plusy
- ✓Entry-level position requiring no prior ML experience
- ✓Opportunity to get into the AI field
- ✓Clear language requirements with premium EU languages
- ✓Potential to contribute to generative AI development
Na co uważać
- −Title mismatch: 'Junior ML Engineer' but actual work is data annotation
- −5 days per week mandatory in-office (no flexibility stated)
- −Handling sensitive data likely under strict NDAs, which may limit personal projects
- !No mention of specific tools or software used for annotation
- !No clear career progression path from annotation to engineering
- !'Ambiguity' mentioned often, which may indicate unclear guidelines or tasks
Codzienna praca
- •Labeling and annotating text, images, or other data types using internal tools and guidelines
- •Evaluating the quality and consistency of existing annotations across different data sources
- •Making logical decisions in ambiguous labeling scenarios based on provided criteria
- •Switching between different task types (e.g., text, image, audio) while maintaining accuracy
- •Identifying process issues in annotation workflows and suggesting improvements
- •Handling sensitive data with strict confidentiality (likely under NDAs)
- •Supporting daily operations by clarifying internal queries from the annotation team
Więcej o ofercie↓
Dla kogo jest ta oferta
Profil idealny
Oferta odpowiednia dla osób na początku kariery w IT.
Minimum sensowne
A recent graduate with strong language skills (English + one EU language) and some exposure to data or linguistics. No prior work experience required, but must demonstrate high accuracy and ability to follow instructions in a test task.
Raczej nie dla
A traditional software engineer looking to write ML code, train models, or do production work. Also not for someone seeking remote or hybrid work, as the role requires 5 days per week in the office.
Ocena dopasowania
Junior5/5
Mid1/5
Senior1/5
Hands-on2/5
Architekt1/5
Remote1/5
Enterprise3/5
Pytania do rekrutera
- ?What specific types of data will I be annotating (text, images, video, etc.)?
- ?What are the performance metrics for accuracy and consistency?
- ?Is there any possibility of transitioning into a more technical ML role in the future?
- ?How large is the annotation team and what is the team structure?
- ?What is the contract type (B2B, UoP) and are there any shift patterns?
- ?Can you share an example of an annotation guideline or task type?
- ?What is the typical career progression for someone in this role?
Brakujące informacje
- −No information about salary or benefits
- −No description of the recruitment process
- −No mention of the specific generative AI project or client
- −No information about team size or reporting structure
- −No details about the internal tools used for annotation
Zespół
The team appears focused on data quality and operational efficiency, likely in a structured environment with strict guidelines. Culture seems detail-oriented and process-driven.
🔗Podobne oferty
Oferta w skrócie
7000 – 8000PLN / mies.
🏢StacjonarnaTryb pracy
📄Umowa o pracęKontrakt
⏱️Junior · 3+ latDoświadczenie
LokalizacjaGdańsk
Źródło
justjoinitAktywna
Opublikowano2 maja 2026
Ostatnio sprawdzono5 maja 2026
Wygasa za36 dni
📊Jakość danych
Kompletność67%
Dane częściowe
Brakuje części pól — sprawdź szczegóły u źródła.