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Ai Curator Jobs in Indiana (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 ...

Cheminformatics Specialist - Remote

Fishers, IN ยท On-site +1

$90 - $120/hr

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 ...

Cheminformatics Specialist - Remote

Carmel, IN ยท On-site +1

$90 - $120/hr

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 ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

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Ai Curator information

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.

What are popular job titles related to Ai Curator jobs in Indiana? For Ai Curator jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Ai Curator jobs? Cities in Indiana with the most Ai Curator job openings:

Part-Time Content Curator (Purdue or OSU area)

Genomenon

West Lafayette, IN โ€ข Hybrid

Part-time

Posted 19 days ago


Job description

Our Company

Genomenon is an AI-driven genetic intelligence company on a mission to save and improve lives by making biomedical information actionable. Rare diseases and cancer affect more than 30 million people in the U.S. alone and hundreds of millions globally, yet most patients still face long diagnostic journeys and limited treatment options. Our goal is clear and ambitious: to deliver the information that shapes diagnosis and treatment for every rare disease and cancer patient.

We sit at the intersection of AI, genomics, and real world evidence. Genomenon transforms the global scientific literature into a literature derived, real world evidence (RWE) engine for precision medicine—combining large-scale AI with expert human curation to deliver clean, clinically actionable datasets. This approach fills critical gaps left by EHR and claims data, especially in rare disease and oncology, by showing how patients actually present, progress, and respond to therapy.

We turn vast, complex biomedical data—spanning genomics, clinical evidence, and scientific literature—into trusted intelligence that helps clinicians make better diagnostic and therapeutic decisions, and supports life sciences organizations in bringing better therapies to market faster.

Our work has real, measurable impact. Genomenon's platforms and services are used by more than 250 clinical laboratories and pharma organizations worldwide to support diagnostic interpretation, variant curation, and evidence-based decision-making across the drug development lifecycle.

Each year, our technology helps inform care for tens of thousands of patients facing rare, complex, and time-sensitive conditions—reducing uncertainty and delivering answers when they matter most.

What makes Genomenon unique is our ability to support both clinical diagnostics and pharmaceutical innovation on a shared foundation of advanced AI, deep domain expertise, and rigorously curated data.

  • In the clinic, our solutions directly influence real world patient outcomes.
  • In pharma, we enable teams to harness literature derived RWE across clinical trial development, regulatory, and commercial workflows—turning fragmented biomedical knowledge into a strategic asset and emerging as the trusted data layer for genomic diagnostics and precision therapeutics.

If you're motivated by impact, energized by complexity, and excited to help shape the future of rare disease diagnosis and treatment, there's no better place to do that work.

Genomenon /ge.gno.mai.non/
Source language: ancient Greek
  1. Verb
    to come into being
    to be born out of need
  2. Noun
    the leader in genomic intelligence
Our Community

Genomenon team members are thoughtful, ambitious, and mission-driven professionals working across states and countries. Our team brings together scientists, clinicians, engineers, and commercial leaders who collaborate as equals and learn from one another every day.

We value curiosity, accountability, and people who thrive in fast-moving, high-impact environments.

We are guided by our core values:

  • Always Learning: Approach challenges with curiosity and a growth mindset
  • Data-Driven: Ask a lot of questions and look to the evidence for answers
  • Humbly Confident: Aware of the value that we and others bring to the team
  • Customer & Patient Driven: Put patients and customers first in everything we do
  • True Grit: Embody passion and persistence, and aren't afraid of hard work
About the Opportunity

Genomenon is seeking a reliable, self-motivated individual to support our data acquisition and database development efforts. This role is ideal for someone highly organized, comfortable working independently within a public university environment, and committed to delivering high-quality work on time.

The position reports to our Data Acquisitions Lead and requires regular travel to either Purdue or OSU and university library access is required.

This is a part-time, hourly role with flexible hours, ranging from 10 to 30 hours per week.

Key Responsibilities
  • Use proprietary internal tools to identify, collect, and organize content for database development
  • Maintain accurate and well-organized project records
  • Collaborate with the broader Genomenon team and provide additional support as needed to achieve team goals
Required Skills and Qualifications
  • Access to a local university library.
  • Strong organizational and time-management skills
  • High level of personal accountability and attention to detail
  • Working knowledge of Microsoft Excel
  • Demonstrated ability to manage responsibilities independently while contributing effectively within a team
  • Self-starter with a strong work ethic and a positive, solution-oriented mindset
Location and Schedule

Regular on-site work at a local public university is required. The position offers a flexible hybrid schedule of approximately 10 to 30 hours per week.

Our Commitment

Building a great company starts with building a diverse and inclusive team. We believe that people with different backgrounds, perspectives, and life experiences help us solve harder problems and build better solutions.

Genomenon is committed to inclusion across race, gender, age, religion, identity, disability, and background — in how we hire, how we work, and how we lead.

If you're excited about the role but unsure whether you meet every qualification, we encourage you to apply. We'd rather review one more resume than miss the chance to meet someone exceptional.