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Spanish (Latin America) Language Data Contributor (Multimodal) – Freelance AI Trainer Project

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Spanish (Latin America) Language Data Contributor (Multimodal) - Freelance AI Trainer Project
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Spanish (Latin America) Language Data Contributor (Multimodal) - Freelance AI Trainer Project based in United Kingdom.
This freelance opportunity is designed for Spanish (Latin America) language specialists who want to contribute their expertise to the development of next-generation AI systems. You will evaluate advanced language models across linguistic, factual, logical, and cultural scenarios. Your work will help identify subtle language errors involving grammar, semantics, pragmatics, dialects, idioms, and regional nuances. You will document model failures in a clear and reproducible way, helping improve evaluation methods and AI performance. The role combines linguistic expertise, critical analysis, structured communication, and interaction with multimodal AI training workflows. It offers the opportunity to apply your language knowledge to practical AI development while working remotely and independently.
Accountabilities
- Interact with advanced AI models using a wide range of Spanish (Latin America) language scenarios and linguistic challenges.
- Evaluate model responses for grammatical accuracy, factual correctness, logical consistency, cultural relevance, and appropriate language usage.
- Analyze areas such as phonetics, morphology, syntax, semantics, pragmatics, sociolinguistics, verb conjugation, agreement, sentence structure, word order, idiomatic expressions, and regional variations.
- Identify and document model failure modes, inconsistencies, and reasoning errors in a clear, detailed, and reproducible format.
- Explain linguistic judgments and demonstrate the reasoning behind evaluations to support the improvement of AI systems.
- Assess cultural and regional nuances specific to Spanish-speaking populations across Latin America.
- Provide feedback and recommendations that can contribute to prompt engineering, model evaluation frameworks, and training methodologies.
- Participate in multimodal data collection and evaluation activities involving written, audio, video, and image-based inputs when required.
- Follow project guidelines, data-quality standards, security requirements, and applicable consent procedures throughout the engagement.
- Submit only permitted personal content and ensure that third-party or sensitive personal information is not included in project materials.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Requirements
- Native-level or highly proficient command of Spanish as used across Latin America, with strong awareness of regional linguistic variation and cultural nuances.
- Strong knowledge of Spanish linguistics, including areas such as phonetics, morphology, syntax, semantics, pragmatics, and sociolinguistics.
- Ability to critically evaluate language-model outputs and recognize subtle grammatical, semantic, logical, factual, and contextual errors.
- Strong analytical and problem-solving abilities, with a structured approach to identifying and explaining language issues.
- Excellent written communication skills and the ability to clearly explain linguistic reasoning and document findings in detail.
- Strong metacognitive communication skills, including the ability to show and explain the reasoning behind linguistic judgments.
- A degree in Spanish language, linguistics, or a closely related discipline is preferred.
- Teaching experience, peer-reviewed publications, linguistic research, language analysis projects, or comparable professional experience are advantageous.
- Interest in artificial intelligence, language models, prompt engineering, data annotation, or AI evaluation is a plus.
- Ability to work independently in a remote, project-based environment while consistently following detailed instructions and quality standards.
- Must be at least 18 years old and able to comply with the applicable participant and consent agreements.
- Ability to provide a secure computer and reliable high-speed internet connection for the duration of the project.
Benefits
- Freelance contract opportunity with fully remote participation.
- Flexible project-based work that allows you to apply your Spanish language expertise to AI development.
- Opportunity to contribute directly to the training and evaluation of advanced AI and language models.
- Pay range of $6-$65 per hour, with the final rate determined by experience, expertise, and geographic location.
- Opportunity to work on cutting-edge AI data collection and evaluation projects.
- No company-sponsored health insurance or paid time off, as this is a contractor engagement.
- Contractors provide their own secure computer and high-speed internet connection.
- Opportunity to use specialized linguistic knowledge in a practical, technology-focused environment.


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How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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