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Senior Ai Data Trainer Jobs (NOW HIRING)

Senior AI Data Product Manager Location Chicago, IL (Hybrid - Onsite Monday, Wednesday & Friday) Employment Type Full-Time We're seeking a Senior AI Data Product Manager to lead the strategy ...

New

Data & AI Engineer

New York, NY · On-site +1

$125K - $150K/yr

Reporting to the Senior AI & Data Architect, this role is responsible for building and operating ... training; and licenses and/or certifications. The anticipated base salary range for this role is ...

Senior AI Data Scientist I

Alameda, CA · On-site

$143.50 - $203/hr

The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables supporting drug ...

$108K - $130K/yr

You will be the Software Engineer Sr. - AI / Data Visualization Developer for the Missiles and Fire Control CIO organization. Our team is responsible for delivering program technology and information ...

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables ...

SUMMARY/JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables ...

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track ... Collaborate with AI/ML teams to curate, prepare, and serve high-quality datasets for model training ...

Senior AI & Data Engineer

Fremont, CA · On-site

$134K - $176K/yr

We are looking for a Senior AI & Data Engineer to join our AI team. This is a hands-on individual ... or training. The ranges displayed on each job posting reflect the minimum and maximum target for ...

Senior AI Data Scientist I

Alameda, CA · On-site

$143.50 - $203/hr

SUMMARY / JOB PURPOSE The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis‑ready deliverables ...

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Senior Ai Data Trainer information

See salary details

$24.5K

$77.3K

$136.5K

How much do senior ai data trainer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior ai data trainer in the United States is $77,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a senior AI data trainer?

Senior AI Data Trainers are professionals who oversee the creation, curation, and labeling of data used to train artificial intelligence models. They ensure that data is accurately annotated and aligned with the requirements of the machine learning project, often supervising and mentoring junior data trainers. Their responsibilities also include developing guidelines, maintaining data quality standards, and collaborating with data scientists and engineers to improve AI model performance. Senior AI Data Trainers play a critical role in the success of AI initiatives by ensuring high-quality, well-labeled datasets.

What are the key skills and qualifications needed to thrive as a senior AI data trainer?

To thrive as a Senior AI Data Trainer, you need a strong background in data annotation, machine learning concepts, and quality assurance, typically supported by a relevant degree and prior experience in AI training projects. Familiarity with annotation tools, data labeling platforms, and version control systems is commonly required, along with knowledge of Python or similar scripting languages. Excellent attention to detail, communication, and problem-solving skills help ensure accurate data labeling and effective collaboration with cross-functional teams. These skills are crucial for building high-quality datasets that directly impact the performance and reliability of AI models.

What are some common challenges faced by senior AI data trainers when ensuring data quality for machine learning models?

Senior AI Data Trainers often encounter challenges such as managing large and diverse datasets, maintaining labeling consistency, and identifying subtle biases that could affect model performance. They must also coordinate with data engineers and machine learning teams to validate data accuracy and relevance. Addressing these challenges requires strong attention to detail, effective communication skills, and the ability to implement quality assurance processes throughout the data annotation lifecycle.

What is the difference between Senior Ai Data Trainer vs Data Analyst?

AspectSenior Ai Data TrainerData Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; experience with AI modelsBachelor's or higher in Statistics, Data Science, or related; proficiency in data analysis tools
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, healthcare, or tech sectors; data-driven departments
Employer & Industry UsageAI-focused companies, tech startups, research institutionsVarious industries including finance, marketing, healthcare

While both roles involve working with data, a Senior Ai Data Trainer specializes in preparing and refining datasets for AI models, often requiring knowledge of machine learning and AI frameworks. In contrast, a Data Analyst focuses on interpreting data to generate insights for business decisions. The roles overlap in data handling but differ in technical focus and application.

More about Senior Ai Data Trainer jobs
What cities are hiring for Senior Ai Data Trainer jobs? Cities with the most Senior Ai Data Trainer job openings:
What are the most commonly searched types of Ai Data Trainer jobs? The most popular types of Ai Data Trainer jobs are:
What states have the most Senior Ai Data Trainer jobs? States with the most job openings for Senior Ai Data Trainer jobs include:
Infographic showing various Senior Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 5% Part Time, 2% Temporary, and 16% Contract. Highlights an 68% In-person, 2% Hybrid, and 30% Remote job distribution, with an average salary of $77,350 per year, or $37.2 per hour.

Senior AI Data Product Manager

Finoit Inc.

Chicago, IL • On-site

$160K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Senior AI Data Product Manager

Location

Chicago, IL (Hybrid – Onsite Monday, Wednesday & Friday)

Employment Type

Full-Time

Job Description

We're seeking a Senior AI Data Product Manager to lead the strategy, execution, and delivery of enterprise data products that support analytics, reporting, governance, and AI initiatives. You'll partner with business stakeholders, engineering, data, and AI teams to define product roadmaps, prioritize backlogs, and deliver high-impact data solutions.

Key Responsibilities
  • Own the roadmap and delivery of enterprise data products.
  • Gather business requirements and translate them into product features and user stories.
  • Prioritize product backlog and collaborate with cross-functional Agile teams.
  • Drive initiatives related to data quality, governance, analytics, and AI readiness.
  • Partner with engineering, data, and business leaders to ensure successful product delivery.
  • Monitor product performance and continuously improve business outcomes.
Required Qualifications
  • Bachelor's degree required.
  • 7+ years of Product Management, Product Ownership, Business Intelligence, Analytics, or Data Management experience.
  • Experience delivering enterprise data or analytics products.
  • Strong SQL skills (ability to write and modify queries).
  • Experience with Agile methodologies and tools such as Jira, Confluence, or Azure DevOps.
  • Excellent stakeholder management and communication skills.
  • Experience working with AI, data platforms, analytics, or data governance initiatives.
Preferred Qualifications
  • Power BI or other BI/reporting tools.
  • Experience in professional services, financial services, healthcare, consulting, or other enterprise environments.
  • Experience leading cross-functional teams and enterprise data initiatives.

Compensation: Up to $160,000 base salary.