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Data Curation Ai Machine Learning Jobs in Indiana

Entry Level Data Engineer

Indianapolis, IN ยท On-site

$109K - $131K/yr

Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles: * Bachelor's or Master's degree in CS, CE, EE, IT, or related * Experience or knowledge in Core Java ...

Data Engineer (AI)

Austin, IN ยท On-site

$135K - $155K/yr

AI Data Engineer Reports to: Senior Data Engineer Role Summary: Data Engineering is a key role in ... products, machine learning models, and large language model (LLM) applications. The position ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Data Architect

Anderson, IN ยท On-site +1

$55.25 - $71/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Data Engineer AI

Indianapolis, IN ยท On-site

$109K - $131K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... Develop the data pipelines required for Generative AI, including the automated extraction, chunking ...

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Data Curation Ai Machine Learning information

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence and machine learning, such as senior data scientists, AI research directors, or machine learning executives. These positions often require advanced skills in data curation, model development, and experience with tools like Python, TensorFlow, or PyTorch, along with significant industry experience and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Data Curation AI Machine Learning Specialist, and why are they important?

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 is an AI data curator?

An AI data curator is a professional responsible for collecting, organizing, and maintaining high-quality datasets used to train machine learning models. They ensure data accuracy, relevance, and compliance, often using tools like data annotation platforms and following data governance standards. This role requires strong attention to detail and knowledge of data management practices.

What is AI ML salary?

The salary for a Data Curation AI Machine Learning role varies based on experience, location, and company, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in data management, programming, and machine learning tools can earn higher salaries. Certifications and advanced degrees can also influence compensation levels.

Which 3 jobs will survive AI?

Data Curation and AI Machine Learning roles are expected to persist as they require specialized skills in managing data quality, developing algorithms, and understanding complex systems. Jobs involving creative thinking, strategic decision-making, and interpersonal skills, such as data scientists, AI specialists, and machine learning engineers, are also likely to remain in demand despite automation. Continuous learning and adapting to new tools like neural networks and deep learning frameworks will be essential for these roles.

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 Indiana? For Data Curation Ai Machine Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Curation Ai Machine Learning jobs in Indiana look for? The top searched job categories for Data Curation Ai Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Data Curation Ai Machine Learning jobs? Cities in Indiana with the most Data Curation Ai Machine Learning job openings:
LLM Alignment Specialist - Engineering

LLM Alignment Specialist - Engineering

micro1 AI

Indianapolis, IN โ€ข Remote

$80 - $90/hr

Part-time

Posted 5 days ago


Key responsibilities

  • Deliver authoritative written responses to complex engineering prompts in your area of expertise.

  • Review and interpret scientific literature to provide contextually accurate and current insights.

  • Design and document realistic experimental scenarios based on advanced engineering principles.


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions