Spanish (Spain) Quality Control Lead

About the role

We are searching for a Spanish (Spain) Quality Control Lead to define language quality for a major AI training initiative. This position is responsible for setting and enforcing quality standards for the Spanish (Spain) locale. The role requires strategic oversight, direct coaching, and clear communication across distributed teams. You will ensure that outputs meet high linguistic and cultural expectations while supporting the scalability of the program. This is a fixed-term contract role based in Spain with remote flexibility. The position works approximately 30-40 hours per week. The compensation for this role is 36000 euros per year. Start dates are immediate.

Key responsibilities include designing calibration sessions that align reviewers on tone, style, and expectations for Spanish (Spain) tasks. You will audit outputs to identify guideline drift and deliver structured coaching that improves reviewer accuracy. Acting as the primary quality owner for the locale, you will resolve complex issues and escalate when necessary. You will design evaluation frameworks that highlight edge cases in AI training scenarios. Tracking quality metrics over time will help you spot risks and adjust reviewer guidance proactively. You will also oversee the onboarding of new Quality Control Reviewers with structured practice plans that accelerate productivity. Your insights will shape global processes by feeding Spanish (Spain) perspectives into documentation and workflows. Collaboration with engineering and product teams will refine task designs to better support language quality.

To succeed in this role, you need native-level C2 Spanish proficiency for Spain and professional written and spoken English. You must bring a minimum of two years of experience in AI training, data annotation, or linguistic quality roles. You must also have at least one year leading reviewers, annotators, or quality teams with demonstrable evidence of this experience. A deep understanding of grammar, fluency, tone, register, and cultural nuances for Spanish Spain audiences is essential. You should be able to craft evidence-based feedback and coach others to improve consistently. Strong analytical skills will help you evaluate complex tasks where answers are not always clear. Organized time management and the ability to work independently in a fast-paced remote environment are required. A degree in Linguistics, Computer Science, Engineering, or another analytical field is preferred. Experience with Large Language Models (LLMs), RLHF, AI data annotation, prompt evaluation, or NLP projects is a plus. Familiarity with annotation platforms and quality management processes for AI datasets is also valued.

This role offers the chance to lead quality strategy in a current AI program. You will help ensure the highest standards for Spanish (Spain) language data while contributing to the future of AI communication. If you are ready to take ownership, coach teams, and drive quality excellence, join us and shape what responsible AI training data looks like for Spanish (Spain).

What you'll do

• Own the end-to-end quality strategy for the Spanish (Spain) locale within the AI training program, setting clear direction for reviewers and stakeholders.
• Design and facilitate calibration sessions that align reviewers on tone, style, and detailed expectations for Spanish (Spain) language tasks.
• Audit AI model outputs against established linguistic and cultural guidelines to detect patterns of guideline drift or inconsistencies.
• Deliver structured, evidence-based coaching to reviewers, focusing on specific errors and improvement in accuracy over time.
• Act as the primary quality owner for the Spanish (Spain) locale, resolving escalated issues and making final decisions on edge cases.
• Design and maintain evaluation frameworks that surface difficult edge cases common in AI training and data annotation scenarios.
• Track key quality metrics across reviews and iterations to identify risks early and adjust reviewer guidance or training proactively.
• Lead the onboarding of new Quality Control Reviewers, building structured practice plans that accelerate their productivity and confidence.
• Synthesize insights from Spanish (Spain) quality reviews to influence global documentation, workflows, and process standards.
• Partner closely with engineering and product teams to refine task designs and tooling, ensuring they support high language quality.
• Monitor the performance of quality processes and iterate on standards to keep pace with evolving AI model behaviors and requirements.
• Champion best practices for data quality, ensuring that Spanish (Spain) datasets meet the rigorous demands of responsible AI training.
• Communicate complex quality trade-offs clearly to non-technical stakeholders, balancing linguistic nuance with practical constraints.
• Drive continuous improvement by experimenting with new review techniques, feedback mechanisms, and measurement strategies.
• Ensure all quality activities align with the project scope, timelines, and strategic objectives for the AI training initiative.

Requirements

• Must be a native speaker of Spanish (Spain) with C2-level proficiency in both written and spoken language.
• Must possess professional written and spoken English skills at a C1 level or higher.
• Must have a minimum of two years of professional experience in AI training, data annotation, or linguistic quality assurance roles.
• Must have at least one year of hands-on experience leading a team of reviewers, annotators, or quality control staff.
• Must demonstrate a deep understanding of Spanish grammar, fluency, tone, register, and cultural nuances specific to Spain.
• Must be able to write clear, evidence-based feedback and coach team members to achieve consistent quality improvements.
• Must have strong analytical abilities to evaluate complex tasks where correct answers are not immediately obvious.
• Must be highly organized and capable of working independently in a fast-paced, fully remote work environment.
• Must be available to work approximately 30-40 hours per week during the contract period with flexibility aligned with Spanish time zones.
• Must start the role immediately upon acceptance and commit to the fixed-term duration as outlined in the engagement.
• Must have a strong command of linguistic terminology and quality management concepts relevant to data evaluation.
• Must be comfortable working with digital tools, annotation platforms, and collaborative documentation systems.
• Must be willing to adhere to Welo Global processes, standards, and confidentiality requirements throughout the engagement.

Nice to have

• Prior experience working specifically within AI training, LLM fine-tuning, or reinforcement learning from human feedback (RLHF) environments.
• Familiarity with prompt evaluation techniques and dataset curation for large language models.
• Experience using annotation platforms and quality management processes tailored to AI datasets.
• A background in computational linguistics, natural language processing, or related technical fields.
• Exposure to multilingual or cross-lingual AI projects that involve Spanish (Spain) alongside other languages.
• Previous work in high-stakes or regulated environments where precision in language and compliance is critical.

Practical notes

• This engagement is a contract-based position based in Spain, with remote work flexibility.
• The role requires an availability of approximately 30-40 hours per week.
• Compensation for this role is fixed at 36000 euros per year for the duration of the contract.
• Start dates for this position are immediate, and the engagement is expected to begin without significant delay.
• Travel is not required for this role, as all responsibilities are conducted remotely.
• No visa requirements apply for candidates residing within the European Union.
• Candidates must be able to commit to the full term of the contract as defined at the start of the engagement.