Head of Data Labelling

🕵️‍♂️ Новая вакансия!
Head of Data Labelling

Кто хайрит?
Global Work AI — AI-powered job matching platform with 50k monthly paying active users.


Опыт: Senior / Lead

Требования:

— 3+ years of hands-on experience with text-based datasets (not image or video).
— 3+ years of experience leading a data labelling team.
— Experience with projects requiring industry-specific knowledge beyond common-sense.
— Strong experience with labeling tools (e.g., Label Studio) and workflow setup.
— Proven ability to build QA in labelling (audits, adjudication, error analysis).
— Strong guideline-writing skills and ability to drive consistent labelling across annotators.
— Strong process thinking and operational discipline.
— Experience working with multiple stakeholders (product teams).
— English level B2+ (written and spoken).

Чем предстоит заниматься?

Head of Data Labelling owns the end-to-end data labelling function - people, process, tooling, quality and predictable delivery - ensuring high-quality datasets for our AI models. You will partner closely with Product, ML and Engineering teams to translate ambiguous problems into consistent labels that unlock model improvements and reduce regressions.

— Act as the single point of contact for all data labelling requests from product teams.
— Design labelling guidelines and acceptance criteria for each dataset.
— Own and maintain labelling taxonomy and decision rules (versioned guidelines, schema consistency, change logs).
Set up and customise data labelling tools and infrastructure (e.g. Label Studio).
— Build and run a QA system (sampling, double-labelling on subsets, adjudication, audits) and improve labelling quality metrics.
— Define and track delivery predictability (turnaround, SLAs) to reduce acceptance iterations.
— Maintain an edge-case library and run regular calibration (weekly reviews + guideline updates).
— Lead and scale the team end-to-end (hiring, onboarding, workload, time tracking, payroll).

What You Will Label:
— Job ↔ profile relevance for matching/ranking (incl. constraints).
— ATS/application form fields taxonomy (required/optional, standard/custom, conditional).
— Auto-apply/workflow failure taxonomy (fail reasons, manual vs retry).
— Specific requirements from Job Descriptions.

Условия работы: Full time, Office/hybrid in Warsaw or fully remote from nearby time zones (CET ±2)

Зарплата: $3,000-4,000

🔹 Кому писать?
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#Data #Vacancy

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