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Data Curation Ai Machine Learning Jobs in Nebraska

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 ...

Research, fine-tune, and deploy machine learning and large language models to support business and ... Build and maintain data pipelines, including collecting, cleaning, preparing, and validating ...

Research, fine-tune, and deploy machine learning and large language models to support business and ... Build and maintain data pipelines, including collecting, cleaning, preparing, and validating ...

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 ...

Responsibilities: - Lead the architectural design and development of AI solutions, including machine learning models, natural language processing systems, computer vision applications, and data ...

Lead AI and Data Science Engineer II

Omaha, NE · On-site

$98K - $129K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

Analyzing data that is collected in our current and future products and services, Develop statistical and machine learning models using state of the art Machine Learning and AI technologies ...

Data Modeler

La Vista, NE · On-site

$51 - $66/hr

Experience supporting AI, machine learning, or agent-based use cases with governed, well-structured data products. * Experience supporting organizational change management and business process ...

Responsible for developing and delivering machine learning and AI solutions for Claims use cases ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

Senior AI Engineer

Omaha, NE

$100K - $137K/yr

Position Summary The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise ... data engineering, or machine learning operations * Demonstrated ability to architect scalable data ...

Job Title AI Transformation Consultant About your role: As a AI Transformation Consultant you will ... Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or ...

Job Title AI Transformation Consultant About your role: As a AI Transformation Consultant you will ... Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or ...

Data Scientist

Omaha, NE · On-site

$104.65 - $189.18/hr

Develop automated approaches leveraging artificial intelligence/machine learning (AI/ML) and natural language processing (NLP) to streamline the input of operational assessment data into the Command ...

Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities * Architect generative and agentic AI ...

AI Engineer II Division: Business Technology Department: Data & Analytics Location: Home Office ... Experience with machine learning, deep learning, or NLP * Experience with cloud platforms and MLOps ...

Build & Orchestrate AI Agents: Develop and refine autonomous AI agents using frameworks such as ... A strong background in machine learning and statistical analysis, with the ability to validate ...

Intern Program - Agentic AI

Lincoln, NE · On-site

$13 - $17.50/hr

AI and Data Analysis Knowledge: Strong understanding of artificial intelligence concepts, machine learning models, and data analytics techniques. Familiarity with AI tools, algorithms, and frameworks ...

NE

$193K/yr

Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads * Lead root cause analysis and ...

Showing results 41-60

Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Nebraska?

For Data Curation Ai Machine Learning jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Nebraska look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Nebraska are:

What cities in Nebraska are hiring for Data Curation Ai Machine Learning jobs?

Cities in Nebraska with the most Data Curation Ai Machine Learning job openings:

Cheminformatics Specialist - Remote

micro1 AI

Omaha, NE • On-site, Remote

$90 - $120/hr

Part-time

Posted 20 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.