Assess current attorney AI training efforts and develop recommendationsregardinglearning architecture, credentialing, cadence, workshop design,and training modalities * Serve as the day-to-day cross ...
Assess current attorney AI training efforts and develop recommendationsregardinglearning architecture, credentialing, cadence, workshop design,and training modalities * Serve as the day-to-day cross ...
Microsoft AI Engineer - CCoE, NA
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Position: Microsoft AI Engineer - CCoE, NA As a Microsoft AI Engineer, you will support partners, internal teams and end customers across North America with the development, integration and ...
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Microsoft AI Engineer - CCoE, NA
Leipsic, DE · On-site
$138K - $200K/yr
Position: Microsoft AI Engineer - CCoE, NA As a Microsoft AI Engineer, you will support partners, internal teams and end customers across North America with the development, integration and ...
New
You'll experiment with model parameters and training data to improve performance. * Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent ...
You'll experiment with model parameters and training data to improve performance. * Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent ...
You'll experiment with model parameters and training data to improve performance. * Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent ...
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AI Adoption Specialist
Wilmington, DE · On-site +1
$35 - $45/hr
Support training, demos, and coaching to help teams adopt AI tools effectively. Identify opportunities where AI can streamline work, reduce effort, or improve outcomes. Required Qualifications ...
AI Adoption Specialist
Wilmington, DE · On-site +1
$35 - $45/hr
Support training, demos, and coaching to help teams adopt AI tools effectively. Identify opportunities where AI can streamline work, reduce effort, or improve outcomes. Required Qualifications ...
Sr. AI Engineer
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Posted today
Sr. AI Engineer
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Wilmington, DE · On-site +1
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Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines. #J-18808-Ljbffr
AI & Platform Software Engineer
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Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines. #J-18808-Ljbffr
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Director Pricing Strategy -- AI Platform
Dover, DE · On-site
$156.40 - $234.70/hr
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Quick apply
Operations Senior Manager, AI
Wilmington, DE · On-site +1
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AI is central to how we keep improving that experience for our customers. That's the work of the ... Pay is based on factors such as work experience, education, certification(s), training, skills, and ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Ai Training information
See Delaware salary details
$32K - $39.3K
15% of jobs
$39.3K - $46.6K
7% of jobs
$48.8K is the 25th percentile. Wages below this are outliers.
$46.6K - $53.9K
10% of jobs
$53.9K - $61.1K
11% of jobs
The median wage is $63.2K / yr.
$61.1K - $68.4K
22% of jobs
$68.4K - $75.7K
4% of jobs
$80.9K is the 75th percentile. Wages above this are outliers.
$75.7K - $83K
7% of jobs
$83K - $90.3K
7% of jobs
$90.3K - $97.5K
4% of jobs
$97.5K - $104.8K
5% of jobs
$104.8K - $112.1K
6% of jobs
$32K
$68.7K
$112.1K
How much do ai training jobs pay per year?
What is an AI training?
An AI Training job involves preparing and refining data to help improve artificial intelligence models. This can include labeling data, reviewing AI-generated outputs, and providing feedback to enhance accuracy. AI Trainers work with machine learning teams to fine-tune models for tasks like chatbots, image recognition, or language processing. Strong attention to detail and an understanding of AI behavior are key skills for this role.
Do AI trainers get paid?
What does an AI training specialist do?
AI Training specialists are primarily responsible for curating, labeling, and managing large datasets that are used to train machine learning models. They often collaborate closely with data scientists and engineers to ensure data quality, clarity of labeling guidelines, and that project requirements are met. Daily tasks can include annotating images or text, performing data validation, refining annotation protocols, and reviewing outputs generated by AI models. This role frequently involves teamwork as well as independent problem-solving, offering opportunities to learn about AI development workflows and expand technical knowledge.
How to get into AI training jobs?
What are the key skills and qualifications needed to thrive in the AI training position?
To thrive in AI Training, you need a solid understanding of machine learning concepts, data annotation, and statistical analysis, often supported by a background in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, labeling software, and experience with data management systems is highly valued. Strong attention to detail, effective communication, and critical thinking are important soft skills for this role. These skills ensure the accurate preparation and handling of training data, which directly impacts the quality and success of AI models.
How can I work as an AI trainer?
Are there any legit AI training jobs?

Full-time
Re-posted 25 days ago
Job description
Build your big career with the firm that does Big Law, Better. McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work.
At McDermott, we don't just invest in your future, we accelerate your career - wherever it may lead. That includes supporting you both in and outside of the office.
With us, you'll find:
A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity - we encourage you to be yourself!
Enthusiasm for all perspectives: We're smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive.
Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That's why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance.
Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence.
Job Description:
The Director of Attorney AI Learning & Strategy develops, coordinates and oversees the firm's attorney AI learning strategy, including baseline AI training, practice-based AI learning, and advanced workshops and credentialing. This position combines legal practice expertise with the ability to design, operationalize and evaluate attorney training and development initiatives in a rapidly evolving AI environment. The Director of Attorney AI Learning & Strategy reports to the firm's Senior Director of Talent & Development and will work closely with Professional Development, Knowledge Management, Information Technology, practice and affinity group leaders, and other relevant stakeholders to assess attorney learning needs, design AI learning strategy and ensure that programming is aligned with the firm's goals, approved tools, and evolving market and legal trends.Essential Functions and Responsibilities:
Lead development and implementation of the firm's attorney AI learning strategy
Assess current attorney AI training efforts and develop recommendationsregardinglearning architecture, credentialing, cadence, workshop design,and training modalities
Serve as the day-to-day cross-functional lead across Talent & Development, Knowledge Management, IT, practice group leaders, and other stakeholders on attorney AI learning initiatives, includingidentifyinglegal workflows, use cases,and case studies that should informattorney AI learning
Partner with Talent leadership to integrate attorney AI learning with the broader attorney lifecycle, including onboarding, skills development, supervision, advancement,and practice-group programming
Continuouslyevaluateand update attorney AI learning strategy, curricula,and content to ensure theyremainrelevant, practical,and innovative
Recommend and operationalize a visible, credible approach to attorney credentialing and recognition in the AI learning space
Helpshapean approach that protects foundational lawyer skill development while encouraging thoughtful adoption of new tools and workflows
Develop a practical framework for tracking participation, completion, credentialing,and other relevant program indicators
Prepare updates and recommendations for Talent leadership and other firm leadersregardingprogram progress, gaps,and next-step priorities
Leverage technology platforms and analytics to deliver, track,assess,and adjustthe learning strategy over time
Monitor developments in legal AI tools, legal technology,and related markettrendsand translate them intotimelyupdates to attorney learning content and guidance
Participate in learning and development, legal innovation, knowledge management,and AI-related organizations and conferences to stay abreast of emerging tools, learning methods,and market trends
Job Specifications:
Bachelor's degree
Juris Doctorate (JD)
Meaningful experience practicing law at a law firm, in-house legaldepartmentor comparable legal setting
Hands-on familiarity with both general-purpose AI tools and legal AI platforms commonly used in law firm environments, including tools such as Microsoft Copilot, ChatGPT Enterprise, Claude, Harvey,CoCounsel,Legoraand comparable practice-specific or internally developed tools
Experience in attorney development, professional development, lawyer training, legal education, knowledge management, practiceinnovationor a related field
Experience withdesigning large-scalechange managementstrategies
Experience evaluating how AI tools are used in legal workflows, including drafting, summarization, research support, document review, issue spotting, chronology building, diligence and other practice-specific applications, and translating that understanding into lawyer-facing training
Experienceidentifyingand addressingthe learning, supervision,riskand change-management issues that arise when introducing AI into legal practice
Familiarity with attorney professional responsibility rules governing AI and emerging jurisdictional guidance
Demonstratedabilityto translate technical concepts and evolving AI capabilities into practical lawyer-facing learning
Experience designing firmwide or practice-specific lawyer-facing curricula, workshops or skills-based programs preferred
Experience building or scalingnew programsin an ambiguous or evolving environment preferred
Familiarity with attorney supervision, professionalresponsibilityand development of junior lawyer skills in a changing practice environment preferred
Strong executive presenceand interpersonal skills;ability to work effectively with partners, practiceleadersand senior business professionals
Ability to work independently, exercise sound judgment, and drive complexwork forward with limited supervision
Ability to workin cross-functional and virtual teams
Strong organizational skills; ability to work under tight deadlines and prioritize responsibilities
Ability to handle andmaintainconfidential information
Ability to travel for work
Knowledge of Microsoft Office Suite (Excel, Outlook,PowerPointand Word)
Excellent written and verbal communication skills
Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses.
Target Hiring Range $211,000 - $301,000
Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWE provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-AR2
#LI-Hybrid
Physical Demands and Work Environment:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Physical Demands:
While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear
Employee must occasionally lift up to twenty (20) pounds
Work Environment:
Typical indoor office environment
Disclaimer:
The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.