Evaluate, annotate, and quality-check AI-generated text, image, audio, and video content in Spanish. Identify edge cases, ensure guideline compliance, participate in calibration, and provide feedback to improve datasets and annotation workflows for generative AI models.
About the Role
We are looking for detail-oriented Generative AI Analysts to support a variety of AI training, data annotation, evaluation, and quality review projects.
Project Details Disclaimer
- Job Title: Generative AI Analyst - Spanish (US)
- Location: Remote (US)
- Employment Type: Freelance
- Pay Rate: 15 USD/per hour
Depending on the project, you may work with text, translations, audio, transcriptions, images, video, or other AI-generated content. Tasks and project requirements may vary based on the program you are assigned to.
- Projects are subject to client requirements and may change.
- Completion of the application, assessment, and onboarding process does not guarantee assignment to a specific project or a minimum amount of work.
- This is a human-in-the-loop AI training environment. The use of generative AI tools is prohibited unless explicitly authorized for a specific project.
- All work must be completed independently using your own knowledge and judgment.
- You must comply with all data privacy, security, and confidentiality requirements. Do not store, copy, or share project data outside approved tools and channels.
#LI-CC1
What You’ll Do
- Review, evaluate, and validate AI-generated content and data according to project guidelines.
- Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result.
- Identify errors, inconsistencies, omissions, and quality issues.
- Annotate, categorize, or label text, audio, images, video, or other data where required.
- Provide clear written feedback or justifications for your evaluations.
- Complete assigned tasks independently and within established timelines.
- Follow project and client guidelines consistently and maintain a high level of accuracy.
- Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments.
Requirements:
- Native-level fluency in Spanish (US) (written and spoken).
- Experience in Generative AI evaluation, data annotation, translation, linguistics, content quality review, transcription, data labeling, or a related field is preferred.
- Strong English proficiency and written communication skills.
- Excellent attention to detail, critical thinking, and judgment.
- Ability to follow detailed guidelines and apply evaluation criteria consistently.
- Comfortable working independently with structured, repetitive tasks.
- Familiarity with annotation or evaluation platforms is a plus.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Leads technical sales engagements for Zscaler’s federal public-sector customers. Presents and demonstrates the Zero Trust platform, oversees technical sales processes, runs Proof of Value engagements, collaborates with internal teams, and advises customers on Zero Trust transformation. Requires security operations, firewall or proxy operations, networking, and rapid technical learning. Preferred qualifications include AI advisory experience, coding or AI-enabled projects, enterprise security expertise, and industry certifications.
Top Skills:
Ai ToolsEnterprise SecurityFirewall OperationsModern Networking ArchitecturesNetwork SecurityProxy OperationsSaseZscaler Zero Trust Exchange
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Investigates and processes commercial insurance claims, determines policy coverage, assesses damages and losses, establishes reserves, negotiates settlements, and maintains accurate claim documentation. The role involves frequent communication with insureds, claimants, agents, and internal teams, along with coordination with appraisal, subrogation, and fraud investigation units. Candidates need strong customer service, organizational, communication, and technology skills, with licensing potentially required across multiple states.
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.
Top Skills:
Big DataFeature StoresGoGpusMachine LearningTensorrt
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
