QA & Data Annotation Specialist

DocPlanner; España; Presencial; EUR 38.000 - 58.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare insurance

Wellness support

Time off

Descripción de la vacante

Docplanner is hiring for a Data QA & Annotation Specialist to design and run QA workflows, automate metrics, and support labeling interfaces using Label Studio. You will write clear guidelines, onboard freelance annotators, and translate outputs into actionable summaries for leadership.

You will also contribute to data analysis and program design to validate AI system quality. The role emphasizes independence, strong English communication, and multilingual capabilities

Formación

• Comfort working with data, ability to build simple models and interpret metrics.
• Ability to write clear annotation guidelines for downstream users.
• Proven track record coordinating freelancers or cross-functional teams to deadlines.
• Self-directed with the ability to own an area and drive it forward.
• Fluent English and working knowledge of Italian, Portuguese or Polish.

Responsabilidades

• Design, automate, and run QA workflows with metrics and dashboards to quantify quality across projects.
• Support building and maintaining labeling interfaces in Label Studio, configuring projects and layouts.
• Create and maintain annotation guidelines and project documentation.
• Source, onboard, and coordinate freelance annotators with the AI Annotations Lead.
• Turn outputs into simple, decision-useful summaries for leads and stakeholders.
• Support data analysis and reporting on project health and quality.
• Participate in designing programs to validate AI system quality.

Conocimientos

Data analysis

Python / pandas

Documentation writing

Project coordination

Independence

English fluency

Multilingual (Italian/Portuguese/Polon

Herramientas

Label Studio

Descripción del empleo

Docplanner is hiring for a Data QA & Annotation Specialist to design and run QA workflows, automate metrics, and support labeling interfaces using Label Studio. You will write clear guidelines, onboard freelance annotators, and translate outputs into actionable summaries for leadership.

You will also contribute to data analysis and program design to validate AI system quality. The role emphasizes independence, strong English communication, and multilingual capabilities