Senior Level AI Data Trainer Jobs
Senior level ai data trainer jobs place experienced professionals in charge of annotation strategy, quality frameworks, and the cross-functional teams that deliver training data at scale. Roles are concentrated across Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with a mix of on-site, remote, and hybrid settings, and employers like JPMorganChase, Credit One Bank, and Oakridge Staffing hiring at this level now.
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Showing 5 of 7+ Senior Level AI Data Trainer jobs
Job Title: AI Engineer
Location: Boston, MA/Princeton NJ
Experience Required:
8+ Years
- Generative AI Engineering
- Cloud AI / Agentic AI development
- Python
- AI/ML solution design
- Full delivery lifecycle
- Agile delivery
- Data engineering
- Performance and security standards
- Model integration
- Production deployment
- AI security and observability
BASIC QUALIFICATIONS
- Core experience: Cloud AI / Agentic AI development; Python; AI/ML solution design; full delivery lifecycle; agile delivery; data engineering, performance and security standards.
- Strong problem-solving, documentation and stakeholder communication skills.
- Experience delivering enterprise technology solutions in regulated environments is preferred.
- Financial services experience is preferred, with direct domain experience required where specified in the role skills.
Job Title: AI Engineer
Location: Boston, MA/Princeton NJ
Experience Required:
8+ Years
- Generative AI Engineering
- Cloud AI / Agentic AI development
- Python
- AI/ML solution design
- Full delivery lifecycle
- Agile delivery
- Data engineering
- Performance and security standards
- Model integration
- Production deployment
- AI security and observability
BASIC QUALIFICATIONS
- Core experience: Cloud AI / Agentic AI development; Python; AI/ML solution design; full delivery lifecycle; agile delivery; data engineering, performance and security standards.
- Strong problem-solving, documentation and stakeholder communication skills.
- Experience delivering enterprise technology solutions in regulated environments is preferred.
- Financial services experience is preferred, with direct domain experience required where specified in the role skills.
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Find JobsSenior Level AI Data Trainer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Fintech
- Insurance
Senior Level AI Data Trainer Jobs: Frequently Asked Questions
How do I get a senior level ai data trainer job?
Employers at this level look for candidates who have owned end-to-end data annotation pipelines, defined labeling guidelines for complex tasks, and mentored junior trainers or reviewers. Demonstrating that you have shaped quality standards, resolved edge-case ambiguity at scale, and collaborated directly with model teams will give you a clear edge over candidates who have only executed work assigned by others.
Which companies hire senior level ai data trainers?
Companies hiring senior level ai data trainers right now include JPMorganChase, Credit One Bank, and Oakridge Staffing, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from AI labs, enterprise technology firms, and specialized data services vendors that maintain large, ongoing model development programs.
Are there remote senior level ai data trainer jobs?
Yes, remote and hybrid availability is strong at the senior level because annotation strategy and quality oversight work well asynchronously. About 17% of senior level ai data trainer openings are remote or hybrid as of November 2026, reflecting how broadly distributed AI development teams have become across the industry.
What makes an ai data trainer role senior level?
A senior level ai data trainer role goes beyond executing labeling tasks. It involves owning the taxonomy and guidelines that govern an entire dataset, making judgment calls on ambiguous or novel data categories, leading quality review cycles, and mentoring other trainers. Senior roles typically require deep subject matter expertise in a specific modality, such as language, vision, or code, and direct involvement in feedback loops with model researchers.
Which industries hire the most senior level ai data trainers?
Senior level ai data trainer roles concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are building or refining large-scale models that require expert-led data curation rather than high-volume, generalist annotation.