ZipRecruiter

Log In

1

Data Curation Ai Machine Learning Jobs (NOW HIRING)

Staxa Technologies

AI engineer

Minneapolis, MN

$119K - $143K/yr

Job Overview We are seeking an experienced AI / Machine Learning Engineer to design, build, and ... You will own the lifecycle of our AI features, from initial data curation and model selection to ...

Microsoft AI

Machine Learning

Manhattan, NY · On-site

Microsoft AI is a part of Microsoft focused on pushing the boundaries of AI towards Humanist ... data quality and curation, working with collaborators on creating new products). • OR Master ...

New

Microsoft AI

Machine Learning

Redmond, WA · On-site

Microsoft AI is a part of Microsoft focused on pushing the boundaries of AI towards Humanist ... data quality and curation, working with collaborators on creating new products). • OR Master ...

Microsoft AI

Machine Learning

Mountain View, CA · On-site

Microsoft AI is a part of Microsoft focused on pushing the boundaries of AI towards Humanist ... data quality and curation, working with collaborators on creating new products). • OR Master ...

New

next page

Showing results 1-20

All JobsData Curation Ai Machine Learning Jobs

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 Jun 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 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.

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

Research Scientist - Model Capability Boundary Exploration and AI Data Flywheel System Developmen...

ByteDance

Seattle, WA • On-site

Full-time

Posted 22 days ago

Job description

Job Summary:
ByteDance is a company focused on inspiring creativity and enriching life through innovative products. They are seeking a Research Scientist to join their Applied Machine Learning Ark team, where the role involves developing and operating Large Language Model service platforms and optimizing AI systems for real-world applications.
Responsibilities:
• Building a next-generation big model as a service platform to serve hundreds of LLMs based applications;
• To develop and maintain the big model as a service platform, including offline training/finetuning, online inference, model management, and resource orchestration, etc.;
• To manage a huge number of GPU resources and provide computing power efficiently.
Qualifications:
Required:
• Currently pursuing or recently completed a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
• Research experience in one or more of the following areas: LLM post-training and alignment, model evaluation, test-time scaling, agent systems, or large-scale data curation and optimization.
• Demonstrated research ability through publications, substantial research projects, or internships.
• Ability to work independently on open-ended research problems, from problem formulation to experimental execution.
Preferred:
• Strong interest in foundation models and data-centric AI, particularly in how large models can improve over time through better data, feedback, and system design. Relevant directions include data flywheels, continual learning, data curation and valuation, and the co-design of algorithms and infrastructure.
• A strong publication record with multiple first-author papers at top-tier venues in AI, machine learning, NLP, data mining, or related fields.
• Internship or research experience at an accredited research labs or within a technology companies, ideally with experience with scalable ML systems, especially those involving real-world deployment, feedback loops, or human-in-the-loop pipelines.
• Strong motivation to connect research with practice, and to build end-to-end AI systems spanning modeling, data, evaluation, and infrastructure.
Company:
ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.

Apply