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Data Curation Ai Machine Learning Jobs (NOW HIRING)

Apple

AI Engineer - Multimodal Intelligence

Sunnyvale, CA

$150K - $277K/yr

... Machine Learning, touching all aspects of multimodal LLMs, from data collection, data curation to ... Design and implement agentic AI systems that enable reliable reasoning for natural, proactive, and ...

Kai

Senior Applied AI Scientist

San Jose, CA · On-site

... model lifecycle: data curation → training/fine-tuning → evaluation → deployment → ... Required : • 4+ years of experience in Applied AI / Machine Learning / Generative AI • Strong ...

The Hartford

AI Machine Learning Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ...

The Hartford

AI Machine Learning Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ...

The Hartford

AI Machine Learning Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site +1

$187K - $220K/yr

Develop machine learning models to analyze the distribution of computer vision data. Develop data ... Utilizing Python, Java, SQL DB, and Dagster to design and implement data curation and data ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

$187K - $220K/yr

Develop machine learning models to analyze the distribution of computer vision data. Develop data ... Utilizing Python, Java, SQL DB, and Dagster to design and implement data curation and data ...

Heartflow

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

Advanced Data Curation & Management: Develop comprehensive data curation strategies for ... AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong ...

RIVIDIUM

AI / Machine Learning Lead

Alexandria, VA · Hybrid

This role supports IT, Cybersecurity, and Data Operations ? Modernization & Innovation and helps ... Lead AI and machine learning initiatives that support modernization, automation, and advanced ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Develop and visualize explainable AI metrics and model performance indicators * Incorporate ...

TSMC

Senior Data Engineer / Data Curator

Austin, TX · On-site

$105K - $142K/yr

... curation, particularly in machine learning or AI-driven environments. • Strong proficiency in Python (Pandas, NumPy) and SQL for data manipulation and querying. • Familiarity with cloud-based ...

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All JobsData Curation Ai Machine Learning Jobs

Data Curation Ai Machine Learning information

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$44.5K

$129.7K

$177.5K

How much do data curation ai machine learning jobs pay per year?

As of Jul 4, 2026, the average yearly pay for data curation ai machine learning in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 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.

More about Data Curation Ai Machine Learning jobs
What cities are hiring for Data Curation Ai Machine Learning jobs? Cities with the most Data Curation Ai Machine Learning job openings:
What states have the most Data Curation Ai Machine Learning jobs? States with the most job openings for Data Curation Ai Machine Learning jobs include:
What job categories do people searching Data Curation Ai Machine Learning jobs look for? The top searched job categories for Data Curation Ai Machine Learning jobs are:
Data Curation Ai Machine Learning jobs near you
Infographic showing various Data Curation Ai Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 59% Full Time, 39% Part Time, and 1% Temporary. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI / Machine Learning Engineer

CyberMedia Technologies

Mclean, VA

$115K - $139K/yr

Full-time

Medical, Retirement, PTO

Posted 4 days ago

Job description

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day.

The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.

We are seeking to hire a AI/Machine Learning Engineer to our team!

Role Overview:
As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). Unlike traditional "black-box" models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule-driven patterns to ensure accuracy, auditability, and compliance in complex decision-making workflows.

Duties and Responsibilities:

  • Agentic System Architecture: Design and deploy autonomous AI agents capable of multi-step reasoning, tool-use, and self-correction to navigate complex federal benefit policies.
  • Deterministic Logic Integration: Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks.
  • RAG & Knowledge Engineering: Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and unstructured data.
  • Hybrid Model Development: Design and evaluate machine learning models that support both data-driven predictions and symbolic/rule-based automation.
  • MLOps & Agent Monitoring: Deploy models into cloud environments with a focus on LLM-specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data drift in logic).
  • Auditability & Explainability: Ensure every AI-driven determination has a clear, human-readable "audit trail" or reasoning chain that justifies the outcome based on source documentation.
  • Collaboration: Work alongside solution architects and business stakeholders to translate complex health insurance policies into executable AI logic.

Skills & Work Experience:

  • Professional Experience: 5+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and Generative AI frameworks.
  • Agentic Frameworks: Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows.
  • Core Development: Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn)
  • Data Engineering: Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale enterprise data.
  • Analytical Rigor: Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms.

Preferred:

  • Experience with Azure Machine Learning, Azure AI services, or similar cloud AI platforms.
  • Experience implementing Generative AI, LLM, or RAG-based solutions.
  • Experience supporting federal IT modernization or data transformation programs.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience applying data governance, privacy, and security best practices in AI/ML solutions.

Education:

Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline. Master's degree preferred. Equivalent professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance.

If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:

  • Paid vacation & Sick leave

  • Health insurance coverage

  • Career training

  • Performance bonus programs

  • 401K contribution & Employer Match

  • 11 Federal Holidays