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Ai Curator Jobs (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

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 Aug 12, 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 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.

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.

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 8% Internship, 61% Full Time, 23% Part Time, and 8% Contract. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution, with an average salary of $72,627 per year, or $34.9 per hour.

Computational Biologist - AI Reviewer

micro1 AI

Longmont, CO • On-site, Remote

$90 - $120/hr

Part-time

Posted 15 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.