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Data Curation Ai Machine Learning Jobs (NOW HIRING)

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull ... Design and evaluate machine learning models that support both data-driven predictions and symbolic ...

AI / Machine Learning Engineer

$117K - $140K/yr

As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and ... Design and evaluate machine learning models that support both data-driven predictions and symbolic ...

Staff Data Scientist

San Francisco, CA · Hybrid

$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 ...

Extensive data engineering experience. * Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating ...

Extensive data engineering experience. * Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating ...

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

... Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on ... Responsibilities include data preprocessing, model training, building APIs, and building data ...

Extensive data engineering experience. * Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating ...

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

Employers value candidates who can program, work with data, build models, use APIs, and explain how ... machine learning, NLP, automation, data processing, APIs, model evaluation, and AI-powered ...

Showing results 21-40

Data Curation Ai Machine Learning information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 14, 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?

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:

Infographic showing various Data Curation Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Experienced AI & Machine Learning Engineer

USAA

San Antonio, TX • On-site, Remote

$127K - $243K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

The Experienced Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on developing and implementing AI/ML solutions for all lines of business within USAA. This role provides excellent opportunities to learn and contribute to a variety of exciting areas including sentiment analysis and agentic AI applications to enable USAA to provide best in class service to our members with cutting edge technology. Responsibilities include data preprocessing, model training, building APIs, and building data pipelines.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, or Plano, TX. Relocation assistance is not available for this position.

What you'll do:

  • Partner with Data Scientists and business to ensure predictive analytics solutions aligned to business objectives.

  • Develops, tests, implements, and integrates processes with business applications that utilize machine learning model predictions and classifications to inform or drive business activities.

  • Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT maintainable solutions that follows best practices and meets appropriate coding standards.

  • Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders. This includes AWS, GCP, graph databases.

  • Independently conducts work in the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraries, and ML models.

  • Designs and implements complex technical solutions for machine learning, artificial intelligence, GenAI, Creates proof of concepts and prototypes that drive the vision and the outcome for complex initiatives to be delivered.

  • Collaborates with the team and other engineers on new technologies and alternatives to plan and execute complex assignments and tasks.

  • Assists to develop, maintain, and enforce the company's data development tools and standards. Conducts code reviews on a regular basis to improve quality and ensure compliance.

  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree; OR 4 years of relevant education and/or experience; and

  • 4+ years of machine learning engineering, data engineering, or software development experience implementing data solutions.

  • Strong programming skills using Python, SQL, Java, etc.

  • Strong experience in data engineering and data pipelines.

  • Experience with end to end delivering of machine learning solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications.

  • Working knowledge of ML Ops principles and implementing automated workflows.

  • Knowledge of Data Science principles and experience with data science methodologies.

  • Familiarity with statistical and predictive modeling approaches and machine learning concepts.

  • Effective communication skills with the ability to work effectively in a team-oriented setting.

  • Strong experience with at least one cloud platform and relevant components e.g., AWS Sagemaker.

What sets you apart:

  • Programming skills using FastAPI, OpenShift, Snowflake (or any similar platform), Java, etc.

  • Financial services, insurance, banking, or other highly regulated industry experience.

  • Experience mentoring junior developers and providing technical leadership.

  • US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $127,310 - $243,340.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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