ZipRecruiter

Log In

1

Ai Data Training Jobs (NOW HIRING)

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

Deloitte

AI Data Engineer - Manager

Columbus, OH

$110K - $132K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Tempe, AZ · On-site

$109K - $131K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Denver, CO

$117K - $141K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Atlanta, GA · On-site

$110K - $132K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Morristown, NJ · On-site

$117K - $141K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Costa Mesa, CA · On-site

$122K - $147K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Seattle, WA

$130K - $156K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Saint Louis, MO · On-site

$111K - $133K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Cincinnati, OH · On-site

$109K - $131K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Kansas City, MO · On-site

$111K - $134K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Deloitte

AI Data Engineer - Manager

Indianapolis, IN · On-site

$109K - $131K/yr

Address potential issues such as training data poisoning, AI model theft, and adversarial samples. Product Strategy and Business Understanding * Help AI product managers and business stakeholders ...

Lockheed Martin Corporation

AI Data Engineer Stf

Fort Worth, TX · On-site

$109K - $131K/yr

... training, feature stores, modelready data delivery). Key Responsibilities Design, build, and maintain secure data pipelines for classified AI/ML workloads Design and implement ontology-driven data ...

next page

Showing results 1-20

All JobsAi Data Training Jobs

Ai Data Training information

What are the key skills and qualifications needed to thrive as an AI Data Trainer, and why are they important?

To thrive as an AI Data Trainer, you need a solid understanding of data annotation, machine learning fundamentals, and attention to detail, often backed by experience in data science or a related field. Familiarity with data labeling tools, annotation platforms, and version control systems is typically required. Strong analytical thinking, communication skills, and the ability to follow complex guidelines set top performers apart in this role. These skills ensure that high-quality, accurate datasets are produced to effectively train and improve AI models.

What is the difference between Ai Data Training vs Data Analyst?

AspectAi Data TrainingData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and machine learning projectsAcross various sectors analyzing data to inform decisions

Ai Data Training involves preparing and labeling data for AI models, focusing on machine learning algorithms. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Ai Data Training is more technical and model-focused, whereas Data Analysts focus on analysis and reporting.

What is AI data training?

AI data training refers to the process of teaching artificial intelligence systems, such as machine learning models, to recognize patterns and make decisions by feeding them large amounts of labeled data. This involves collecting, annotating, and preprocessing data so that the AI can learn from examples and improve its performance over time. Data trainers play a crucial role in ensuring that the data used is accurate, diverse, and relevant to the AI's intended tasks. Effective AI data training helps models become more accurate, reliable, and capable of handling real-world scenarios.

What are some common challenges faced in AI Data Training roles, and how can they be effectively managed?

Professionals in AI Data Training often encounter challenges such as ensuring data accuracy, managing large and potentially unstructured datasets, and maintaining consistency in labeling. These challenges can be managed through rigorous quality control checks, adopting clear annotation guidelines, and utilizing collaborative tools that streamline the review process. Being detail-oriented and communicating effectively with data scientists and engineers also helps in resolving ambiguities and improving overall data quality.
More about Ai Data Training jobs
What cities are hiring for Ai Data Training jobs? Cities with the most Ai Data Training job openings:
What states have the most Ai Data Training jobs? States with the most job openings for Ai Data Training jobs include:
What job categories do people searching Ai Data Training jobs look for? The top searched job categories for Ai Data Training jobs are:
Ai Data Training jobs near you
Infographic showing various Ai Data Training job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, 28% Part Time, 4% Temporary, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Chief AI & Data Architect

Chief AI & Data Architect

Pacific Gas and Electric Company

Oakland, CA • On-site

$73.25 - $94.25/hr

Full-time

Posted 12 days ago

Pacific Gas and Electric Company rating

9.0

Company rating: 9.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Requisition ID # 172494
Job Category: Information Technology
Job Level: Director/Chief
Business Unit: Information Technology
Work Type: Hybrid
Job Location: Oakland
Position Summary
The Chief AI & Data Architect is accountable for the enterprise-wide strategy, governance, and value realization of Artificial Intelligence, Advanced Analytics, and Data. This role ensures that data is trusted, governed, reusable, and AI-ready, and that AI capabilities are deployed safely, compliantly, and at scale across a regulated enterprise. As this is a director level role, this person typically does not own all enterprise AI execution directly, but they orchestrate the strategy, prioritization, standards, and cross-functional alignment needed to make AI investments produce measurable business outcomes.
The Chief serves as the bridge between data foundations and AI-driven outcomes, ensuring alignment across business strategy, technology platforms, risk management, and regulatory obligations.
This position is hybrid, working from your remote office and the Oakland General Office Headquarters.
Reporting
Reports into the Senior Director, Enterprise Strategy & Architecture.
Job Responsibilities
Enterprise AI & Data Strategy
  • Define and own the integrated AI and Data strategy, roadmap, and operating model aligned with enterprise goals and regulatory commitments.
  • Partner with leaders to prioritize AI and data use cases that deliver measurable value (safety, reliability, efficiency, customer outcomes).
  • Ensure AI investments are grounded in strong data foundations and avoid unmanaged experimentation.
  • Develop the enterprise AI vision, principles, and multi-year roadmap
  • Align AI priorities to business strategy, growth goals, cost optimization, risk reduction, customer experience, and operational efficiency
  • Identify where AI should be used-and where it should not be used
  • Establish standards across:
    • Generative AI
    • Predictive AI / machine learning
    • Automation / intelligent workflows
    • AI-enabled analytics and decision support
  • Reduce duplication and fragmentation across AI and analytics efforts.

Data Architecture
  • Serve as owner for enterprise data architecture including developing strategy, standards
  • Ensure data policies, standards, and controls support AI/ML, GenAI, and analytics use cases.
  • Establish standards for Data Products
  • Ensure the enterprise data architecture is fit-for-purpose for AI at scale, not just reporting.
  • Define the target-state data architecture principles to support AI (e.g., data products, data mesh/fabric, feature-ready data layers)
  • Align data architecture to AI use cases such as:
    • GenAI (context + retrieval layers)
    • ML models (training + feature pipelines)
    • Real-time decisioning (streaming architectures)
    • Advocate for architecture patterns that enable:
    • Structured and unstructured data integration
    • Metadata-driven pipelines
    • High-quality, reusable datasets for AI
  • Ensure AI strategy is grounded in realistic data capabilities and constraints
  • Define and enforce enterprise data standards that make AI scalable and reusable.
  • Define standards for:
    • Data modeling approaches (e.g., canonical models, domain-oriented models)
    • Data product design (ownership, SLAs, discoverability)
    • Feature engineering reuse and standardization
    • Metadata and semantic layers to support AI explainability
  • Ensure consistent handling of:
    • structured vs. unstructured data (documents, images, logs, transcripts)
    • embeddings and vector data (for GenAI)
  • Promote "build once, reuse many" data principles

AI Platform, Architecture & Delivery
  • Own strategy for AI and data platforms, including model lifecycle management, data pipelines, and AI enablement.
  • Ensure AI and data solutions are secure, scalable, auditable, and cost-effective.
  • Partner with all areas of IT to define reference architectures and approved patterns.

Governance, Risk & Responsible AI
  • Establish and enforce AI frameworks, including intake, classification, approval gates, and production readiness.
  • Operationalize Responsible AI principles (privacy, transparency, explainability, human oversight).
  • Collaborate closely with Legal, Cybersecurity, Privacy, Compliance, and Risk functions to ensure regulatory alignment.

Executive & Board Engagement
  • Serve as the enterprise technical authority on AI and Data for executive leadership, regulators, and the Board.
  • Prepare executive recommendations, investment cases, and decision materials
  • Act as a strategic advisor to executives on AI opportunities and implications
  • Translate complex technical topics into clear, decision-oriented executive insights.
  • Monitor external technology, regulatory, and industry trends to inform strategy.
  • Facilitate alignment across business units and corporate functions
  • Resolve conflicts around priorities, ownership, funding, and standards
  • Lead or support steering committees and leadership forums related to AI

Background Qualifications
Minimum
  • BA/BS degree in Computer Science, Engineering, Business or related field or equivalent experience.
  • 12 years of enterprise architecture experience.

Desired
  • 15+ years of leadership experience across data, analytics, AI, or enterprise technology.
  • Proven experience delivering enterprise-scale AI and data programs in complex, regulated environments.
  • Strong understanding of data modeling, cloud platforms, AI/ML lifecycle management, and risk controls.
  • Executive leadership presence with the ability to influence across different lines of business including operations, and IT.
  • MA/MS in Computer Science, Information Systems, Information Security or other Technology Discipline
  • Experience with specific technologies, systems and platforms related to a domain or associated sub-domain.
  • Experience with hardware, networks, software technologies, applications, and modeling techniques related to a domain or associated sub-domain.
  • Experience consulting with IT leadership on creating a strategic vision and direction with specific technologies, systems and platforms related to a domain.

Success Measures
  • Measurable enterprise value delivered from AI and analytics.
  • Reduction in ungoverned or duplicative AI initiatives.
  • Increased confidence from all Functional Areas, regulators, auditors, and executives in AI and data practices.
  • AI becomes an enterprise capability, not just isolated experiments

Leadership Qualities
PG&E expects its leaders to conduct themselves with the highest ethics and integrity and to embody specific leadership qualities.
Strategic Mindset
  • Sees ahead to future possibilities and translates them into breakthrough strategies.
  • Operates effectively, even when things are not certain, or the way forward is not clear.

A Leader in the Community and Industry
  • Effectively builds formal and informal relationship networks inside and outside the organization.
  • Anticipates and balances the needs of multiple stakeholders.

Demonstrates Safety Leadership
  • A safety champion in words and deeds with respect to both employee and public safety.
  • Creating and maintaining a speak up culture free of retaliation.

Influences and Inspires
  • Using various- communications that convey a clear understanding of the needs of different audiences.
  • Maneuvering comfortably through complex policy, process, and people-related dynamics.

Optimizes Team Performance
  • Building teams with a strong identity that apply their diverse skills and perspectives to achieve common goals.
  • Creating a climate where people are developed and motivated to do their best to help the organization.

Values Inclusion and Respects Individual Differences
  • Recognizing the value that different perspectives and cultures bring to an organization.

Fiscally Responsible
  • Interpreting and applying understanding of key financial indicators to make better business decisions.
  • Planning and prioritizing work to meet commitments aligned with organizational goals.

Leads Ethically and in a Compliant Manner
  • Sponsoring and sustaining a high integrity speak-up corporate culture which prioritizes safety, compliance, and ethics.
  • Building on necessary level of industry, company, and subject-matter expertise, including laws and regulations.

Provides a High Level of Customer Service
  • Building strong customer relationships and delivering hometown, customer-centric solutions.

Compensation
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.
We estimate the successful candidate hired into this role will be placed within the reasonable compensation range of $192,800 to $277,150. The decision will be made on a case-by-case basis. This leadership role is also eligible for an annual Short Term Incentive Plan (STIP) award, as well as the Long Term Incentive Plan (LTIP) grant.
Purpose, Virtues and Stands
Our Purpose explains "why" we exist:
  • Delivering for our hometowns
  • Serving our planet
  • Leading with love

Our Virtues capture "who" we need to be:
  • Trustworthy
  • Empathetic
  • Curious
  • Tenacious
  • Nimble
  • Owners

Our Stands are "what" we will achieve together:
  • Everyone and everything is always safe
  • Catastrophic wildfires shall stop
  • It is enjoyable to work with and for PG&E
  • Clean and resilient energy for all
  • Our work shall create prosperity for all customers and investors

More About Our Company
EEO
Pacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.
Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link: Employee Privacy Notice
PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.

Apply