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-JC1
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
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Manage complex, litigated construction-related CGL and liability claims valued at $500,000 or more. Responsibilities include coverage analysis, liability assessment, investigations, reserving, litigation strategy, outside counsel and expert management, negotiations, settlements, documentation, and collaboration with legal, underwriting, reinsurance, product, and subrogation teams. The role also mentors claims professionals and contributes to training and process improvements.
Food • Software
Own ChowNow’s business development function by identifying, evaluating, negotiating, and launching strategic partnerships that increase revenue, restaurant acquisition, and market reach. Build scalable partner processes, manage relationships across technology, referral, and channel partners, and align initiatives with product and go-to-market goals. Collaborate cross-functionally with executive, sales, product, marketing, legal, finance, and engineering teams. Periodic travel to conferences, partner locations, and the Los Angeles headquarters is required.
Top Skills:
APIsPos Integrations
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Reviews and adjudicates medical appeals and grievances for health plan products, applying benefit interpretations and clinical criteria. Responds to insurance and CMS regulatory inquiries, communicates decision rationales and network-quality issues, and contributes to committees, process improvement, training, projects, and task forces. Requires strong clinical judgment, managed care knowledge, communication, presentation, data analysis, and project management skills.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute


.png)
