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Ai Curator Jobs (NOW HIRING)

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Demonstrated experience improving model performance through data curation, training strategy ...

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Demonstrated experience improving model performance through data curation, training strategy ...

AI Systems Engineer - Defense

Reston, VA · On-site +1

$40 - $60/hr

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

AI Researcher II (Intern) - United States

San Jose, CA · On-site +1

$17.50 - $23.50/hr

Develop scalable data curation and processing methods that improve model training and task-specific performance. * Build production-ready AI systems using strong software engineering practices.

AI Systems Engineer - Defense

Mclean, VA · On-site +1

$40 - $60/hr

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

AI Researcher II (Intern) - United States

Milpitas, CA · On-site +1

$17.50 - $23.25/hr

Develop scalable data curation and processing methods that improve model training and task-specific performance. * Build production-ready AI systems using strong software engineering practices.

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

Build and maintain large-scale data curation, and evaluation pipelines for model training and ... Build AI systems that turn mission data, models, and tools into real operational autonomy. * Own ...

Senior AI Engineer

New York, NY · Remote

$150K - $220K/yr

Senior AI Engineer Full-time Remote Exclusive confidential search -- details shared with qualified ... Contribute to model training and fine-tuning across data curation, supervised fine-tuning (SFT ...

AI Systems Engineer

Chantilly, VA · On-site

$152K - $190K/yr

Technology Curation & Scouting: Actively scout the commercial tech sector, academia, and open-source communities for breakthroughs in generative AI, NLP, and predictive analytics. Curate a pipeline ...

Showing results 41-60

Ai Curator information

See salary details

$25.5K

$72.6K

$119.5K

How much do ai curator jobs pay per year?

As of Sep 2, 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.

What is an AI curator?

An AI Curator is a professional who selects, organizes, and manages digital content or data using artificial intelligence technologies. Their role often involves leveraging AI tools to filter, categorize, and recommend relevant information, artworks, or resources for a specific audience or platform. AI Curators work in various fields, including digital art, museums, online media, and content platforms, to enhance user experience and ensure high-quality, personalized content delivery. They bridge the gap between human creativity and machine intelligence, ensuring that curated selections align with both technical capabilities and human interests.

What are the key skills and qualifications needed to thrive as an AI curator?

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.

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 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:

Infographic showing various Ai Curator job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 100% In-person job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

AI Scientist - Model Training & Post‑Training

cloudingest inc

Dallas, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

AI Scientists who have trained language models themselves (post-training / fine-tuning), not only used APIs. Lead Specialist, AI Scientist Senior, hands-on model trainer who sets technical direction for model post-training & adaptation.

Must-have skills:Post-training / fine-tuning of foundation models— SFT, PEFT (LoRA / QLoRA), preference optimization (RLHF / DPO), distillation Python + deep learning frameworks, incl.distributed / multi-GPU training Evaluation & benchmarking rigor— data curation, experiment design, reproducibility Public cloud AI services+ experience takingmodels into production Technical leadership— sets standards, mentors, communicates cost/risk trade-offs to senior stakeholders

Plus:AI/ML applied to educational content, assessment & personalized learning.