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Ai Curator Jobs (NOW HIRING)

Gatik AI

Senior AI Infrastructure Engineer

Mountain View, CA · On-site

$128K - $174K/yr

Agentic Data Curation: Support researchers in building "Data Machines" where AI agents autonomously curate, label, and verify high-priority edge cases from raw data. * Model Management & Lifecycle ...

Staxa Technologies

AI engineer

Minneapolis, MN

$119K - $143K/yr

You will own the lifecycle of our AI features, from initial data curation and model selection to cloud deployment and continuous monitoring. Core Responsibilities * Model Development : Design, train ...

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Ai Curator information

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$25.5K

$72.6K

$119.5K

How much do ai curator jobs pay per year?

As of Jun 16, 2026, the average yearly pay for ai curator in the United States is $72,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $94,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

AI curators, data scientists, and healthcare professionals are expected to remain in demand as AI advances, due to their reliance on complex judgment, creativity, and human interaction. These roles require specialized skills, critical thinking, and ethical considerations that are difficult for AI to replicate fully. Continuous learning and adaptability are essential for these professions to stay relevant.

What are the key skills and qualifications needed to thrive as an AI Curator, and why are they important?

To thrive as an AI Curator, you need a solid understanding of artificial intelligence concepts, data analysis, and content management, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, data labeling tools, and content management systems is typically required. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for ensuring AI systems are trained on high-quality, relevant data and for maintaining the integrity and accuracy of curated content.

What's the highest paying AI job?

The highest paying AI jobs are typically senior roles such as AI Director, Machine Learning Engineer, or AI Research Scientist, often earning six-figure salaries or higher. These positions require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong educational background in computer science or related fields.

What is an AI curator?

An AI curator is a professional responsible for managing, organizing, and maintaining AI datasets, models, or content to ensure quality and relevance. They often work with machine learning tools, data annotation, and ethical guidelines to support AI development and deployment.

How does an AI Curator typically collaborate with data scientists and engineers in developing AI-driven products?

AI Curators play a critical role in bridging the gap between data science, engineering, and end-user needs. They often work closely with data scientists to ensure the datasets used for model training are accurate, relevant, and ethically sourced. Collaboration with engineers is common when integrating curated data into production pipelines or refining data labeling tools. This role requires strong communication skills and adaptability, as AI Curators frequently interpret technical requirements and provide feedback to optimize AI outcomes.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior research scientists, or specialized machine learning engineers, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles may involve overseeing AI development, strategy, or innovation within organizations and often offer compensation in this high range due to their complexity and impact.

What is the difference between Ai Curator vs Data Scientist?

AspectAi CuratorData Scientist
Required CredentialsBackground in AI, machine learning, or related fields; certifications in AI toolsDegree in data science, statistics, or computer science; certifications in data analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, tech firms, research institutions
Employer & Industry UsageOrganizations developing AI content, models, or datasetsOrganizations analyzing data to inform decisions, build models
Search & Comparison IntentUnderstanding AI content curation, AI project rolesData analysis, modeling, data-driven decision making

The main difference is that an Ai Curator focuses on managing and organizing AI datasets and content, while a Data Scientist analyzes data to generate insights and build models. Both roles require technical skills, but Ai Curators are more involved in data curation and AI content management, whereas Data Scientists focus on data analysis and modeling.

More about Ai Curator jobs
What cities are hiring for Ai Curator jobs? Cities with the most Ai Curator job openings:
What states have the most Ai Curator jobs? States with the most job openings for Ai Curator jobs include:
What job categories do people searching Ai Curator jobs look for? The top searched job categories for Ai Curator jobs are:
Ai Curator jobs near you
Infographic showing various Ai Curator job openings in the United States as of June 2026, with employment types broken down into 8% Internship, 51% Full Time, 33% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.
Machine Learning Research Scientist, Post-Training

Machine Learning Research Scientist, Post-Training

Scale AI

San Francisco, CA • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Scale AI is a company focused on developing reliable AI systems for critical decision-making. They are seeking a Machine Learning Research Scientist to optimize data curation and enhance LLM capabilities through innovative post-training techniques and collaboration with industry leaders.
Responsibilities:
• Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
• Design and experiment new approaches to preference optimization.
• Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
• Publish research findings in top-tier AI conferences.
Qualifications:
Required:
• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
• Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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