Support data annotation, curation, and quality control processes * Summarize findings into ... English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic
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Support data annotation, curation, and quality control processes * Summarize findings into ... English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic
Freelancer - GenAI Experts
New York, NY · On-site +1
Support data annotation, curation, and quality control processes * Summarize findings into ... English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic
Freelancer - GenAI Experts
New York, NY · On-site +1
Support data annotation, curation, and quality control processes * Summarize findings into ... English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic
Project Perseus | Speech & Voice AI Analyst - Spanish Speakers
Manhattan, NY · On-site
$26 - $28/hr
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Native-level fluency in Spanish * Strong written communication skills and language fundamentals * 1 ...
Project Perseus | Speech & Voice AI Analyst - Spanish Speakers
Manhattan, NY · On-site
$26 - $28/hr
Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow ... Native-level fluency in Spanish * Strong written communication skills and language fundamentals * 1 ...
Data Annotation Spanish information
What is data annotation in Spanish?
Data Annotation in Spanish refers to the process of labeling or tagging data—such as text, audio, or images—in the Spanish language to make it understandable for machine learning models. This work helps train artificial intelligence systems to recognize and process Spanish language content accurately. Data annotators may categorize content, transcribe audio, or highlight specific elements in images or texts. The quality of annotated data directly impacts the performance of language models and other AI applications.
What are some common challenges faced by data annotation specialists working with Spanish language data, and how can they be addressed?
Data Annotation Specialists working with Spanish language data often encounter challenges such as managing regional dialects, idiomatic expressions, and cultural nuances that can affect the accuracy of annotations. To address these challenges, it's important to have a strong understanding of the specific dialect or variant required by the project and to consistently refer to established guidelines or glossaries. Collaboration with team members and regular quality checks help ensure consistency and high-quality output, while ongoing training can keep annotators updated on best practices and new annotation tools.
What are the key skills and qualifications needed to thrive as a data annotation specialist (Spanish), and why are they important?
To thrive as a Data Annotation Specialist (Spanish), you need proficiency in the Spanish language, attention to detail, and a basic understanding of data labeling concepts, often supported by a high school diploma or higher. Familiarity with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, along with knowledge of file management systems. Strong communication, consistency, and the ability to work independently are important soft skills for excelling in this position. These skills ensure accurate, high-quality data labeling that directly impacts the performance of AI and machine learning models.
What is the difference between Data Annotation Spanish vs Data Labeling Specialist?
| Aspect | Data Annotation Spanish | Data Labeling Specialist |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Similar, often requires familiarity with labeling tools |
| Work Environment | Remote or office-based, tech companies | Remote or on-site, tech and AI industries |
| Industry Usage | Used in AI training for Spanish language data | Used across various industries for data preparation |
| Search Intent | Looking for Spanish-specific annotation roles | Searching for general data labeling jobs |
Data Annotation Spanish focuses on annotating data specifically in Spanish, often requiring language skills. Data Labeling Specialist is a broader role involving labeling data in various formats and languages. Both roles are essential in AI development, but Data Annotation Spanish is specialized for Spanish language datasets.
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Job description
Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, Alice offers coverage across the entire AI lifecycle.
We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier GenAI experts—high-stakes, project-based work for the "best of the best" specialists in the industry.
Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required.
The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier.
The invitation is open: Come join us at the tea party.
About the Position
We are seeking versatile GenAI Specialists to join our expert collective. This role encompasses two complementary focus areas—and we're looking for individuals who excel in one or both:
Focus Area 1: Adversarial Analysis
Design and execute adversarial prompts to identify weaknesses in cutting-edge AI systems, including LLMs, Text-to-Image, Text-to-Video, Multi-Modal models, and AI Agents. Analyze outputs, categorize vulnerabilities, and translate findings into actionable safety insights.
Focus Area 2: Creative Prompt Design
Craft diverse, context-rich prompts that challenge AI models across policy domains. Blend linguistic creativity with sociocultural insight to simulate realistic, localized use cases - from benign edge cases to sophisticated deception attempts.
Key Responsibilities
Adversarial Analysis:
- Design adversarial prompts to test AI systems across multiple modalities
- Identify, categorize, and document model weaknesses or unsafe outputs
- Support data annotation, curation, and quality control processes
- Summarize findings into structured reports or data templates
Creative Prompt Design:
- Produce high-quality, diverse prompt sets reflecting global linguistic and cultural nuances
- Research online behaviors of threat actors to inform realistic prompt design
- Cover multiple policy areas, such as Hate Speech, Sexual/Graphic Harm, or Terrorism
- Adapt prompts for multiple languages and dialects where applicable
Requirements:
- Proven experience with Generative AI models (direct technical experience not required)
- Understanding of risk taxonomies (e.g., harm categories, policy tiers)
- Strong attention to detail and organizational capabilities
- Ability to manage multiple tasks simultaneously and meet deadlines
- Ability to balance creativity with policy sensitivity
Language Requirements
For Creative Prompt Design focus: We are actively seeking native speakers in the following languages:
- English | Italian | Spanish | German | French | Japanese | Chinese (Mandarin) | Korean | Arabic
- Native-level fluency is essential for crafting culturally authentic, nuanced prompts that reflect real-world linguistic patterns and regional contexts.
Preferred Qualifications
- Strong creative writing background (journalism, fiction, or linguistics)
- Familiarity with various model types (Text-to-Text, Text-to-Image, Text-to-Video)
- Experience with prompt injection techniques, jailbreaks, and red-teaming methodologies
- Prior work in model evaluation, prompt engineering, or safety analysis
- Regional expertise or cultural fluency in specific geopolitical areas
- Proficiency in one or more non-English languages
All applicants will be required to complete a screening exam and background check.