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Afternoon Remote Ai Trainer Jobs (NOW HIRING)

Remote -- Must be located in Arizona -- Occasional on site as needed. Great care starts with great ... Responsibilities: JOB SUMMARY The AI Trainer owns the human side of HonorHealth's AI rollout ...

New

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work ...

... remote work that will have a significant impact on the development of advanced AI models Async work ... and communication Work type: Part-time Industry: Internet and Artificial Intelligence You would not ...

... weeks Flexible, remote work that will have a significant impact on the development of advanced AI models Async work and communication Work type: Part-time Industry: Internet and Artificial ...

This role centers on developing and evaluating AI models that can replicate real-world workflows ... Schedule: Fully remote and asynchronous - flexible working hours Compensation & Contract

Remote Commitment: 15-20 hours/week Role Responsibilities * Evaluate the accuracy and depth of AI ... Provide structured feedback to AI research teams to improve training data quality. * Collaborate ...

... training in Mathematics to contribute to a cutting-edge project in collaboration with a leading AI ... Remote and asynchronous - flexibility to set your own schedule. * Project-based engagement ...

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Afternoon Remote Ai Trainer information

See salary details

$13

$24

$36

How much do afternoon remote ai trainer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for afternoon remote ai trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What is an afternoon remote AI trainer?

An Afternoon Remote AI Trainer is a professional who works remotely, typically during afternoon hours, to help train artificial intelligence models. This involves tasks such as reviewing and labeling data, providing feedback on AI outputs, and ensuring the AI systems learn accurate and ethical responses. AI Trainers may work with text, images, audio, or other data types to improve an AI’s performance. Remote positions offer the flexibility to work from any location, making this role ideal for those who prefer non-traditional work hours.

What skills and qualifications are needed to thrive as an afternoon remote AI trainer?

To excel as an Afternoon Remote AI Trainer, you need a solid understanding of artificial intelligence concepts, experience in teaching or training, and typically a background in computer science or a related field. Familiarity with learning management systems (LMS), collaboration tools like Zoom or Slack, and AI platforms such as TensorFlow or PyTorch is often required. Excellent communication, patience, and the ability to motivate and engage remote learners are essential soft skills. These competencies ensure effective knowledge transfer, learner engagement, and the successful upskilling of participants in a virtual setting.

How does an afternoon remote AI trainer typically collaborate with data scientists and machine learning engineers?

As an Afternoon Remote AI Trainer, you will regularly collaborate with data scientists and machine learning engineers to ensure that the data you annotate or curate aligns with the project’s goals. You may participate in virtual meetings to discuss labeling guidelines, review ambiguous cases, and provide feedback on data quality. Close communication is essential to quickly resolve issues and keep the training data consistent and accurate. Additionally, you might help refine annotation processes based on feedback and evolving model requirements.

What is the difference between Afternoon Remote Ai Trainer vs Data Annotator?

AspectAfternoon Remote Ai TrainerData Annotator
Required CredentialsBasic technical skills, training in AI toolsNone or minimal; often high school diploma
Work EnvironmentRemote, flexible hours, collaborative online platformsRemote or on-site, task-specific environments
Industry UsageAI development, machine learning projectsData labeling for AI and machine learning
Common Search IntentUnderstanding AI training roles, remote AI jobsData labeling, annotation jobs, AI data prep

The Afternoon Remote Ai Trainer and Data Annotator roles both support AI development but differ mainly in responsibilities. The Ai Trainer focuses on training AI models through data input and feedback, requiring some technical skills. The Data Annotator primarily labels data without extensive technical training. Both roles are remote and industry-specific, but the Ai Trainer often involves more interaction with AI systems and training processes.

More about Afternoon Remote Ai Trainer jobs

What cities are hiring for Afternoon Remote Ai Trainer jobs?

Cities with the most Afternoon Remote Ai Trainer job openings:

What are the most commonly searched types of Remote Ai Trainer jobs?

The most popular types of Remote Ai Trainer jobs are:

What states have the most Afternoon Remote Ai Trainer jobs?

States with the most job openings for Afternoon Remote Ai Trainer jobs include:

Infographic showing various Afternoon Remote Ai Trainer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.

Full-time

Posted 3 days ago

New


HonorHealth rating

7.7

Company rating: 7.7 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

160th of 893 rated healthcare providers


Job description

Primary City/State:

Virtual Arizona

Category:

Data Intelligence

Shift:

Day

Department:

Augmented Intelligence

Hours: Monday-Friday Days

Location: Remote -- Must be located in Arizona -- Occasional on site as needed.

Great care starts with great people. (Like you.)

At HonorHealth, you'll find something special. From humble beginnings in 1927 to one of Arizona's largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most - caring for the health and well-being of people and communities across the greater Phoenix area.

Responsibilities:

JOB SUMMARY

The AI Trainer owns the human side of HonorHealth's AI rollout: turning a powerful set of tools into confident, safe, and productive daily habits across the organization. This is a hands-on enablement role, not a one-time training gig. The AI Trainer designs and delivers tiered curriculum, runs live sessions and office hours, builds a self-serve learning library, cultivates a network of departmental champions, and continuously refines what we teach based on what's actually landing with users. Working alongside the AI Director and Program Manager - Workforce Productivity, the AI Trainer ensures that adoption, governance, and enablement move as one coordinated program. Because HonorHealth operates in a healthcare environment, responsible and compliant use-including HIPAA considerations and safe data-handling practices-is woven into everything this role teaches. The AI Trainer is accountable for measurable adoption outcomes, user confidence, and sustainable behavior change across all AI-enabled workflows.

ESSENTIAL FUNCTIONS
  • Curriculum Design and Training Delivery:Build a tiered curriculum (beginner through power-user) that progressively develops AI proficiency across the organization. Develop role-based training paths so clinicians, analysts, operations managers, and other roles each receive content relevant to their actual workflows. Deliver live training sessions, recorded modules, quick-reference guides, and maintain a curated prompt library. Run recurring office hours and drop-in sessions to unblock users in real time and reinforce learning. Create clear, engaging learning materials from scratch that meet users at their current skill level.
  • Wave-Based Adoption and User Enablement:Onboard each Wave cohort with a structured ramp: kickoff, hands-on sessions, follow-up, and reinforcement. Track where each cohort is on the adoption curve and intervene where usage stalls or confidence lags. Capture and recycle real internal success stories to build momentum for later Waves. Support end-user adoption through practical guidance, examples, coaching materials, and usage recommendations. Help users understand where AI adds value, where human review is required, and where escalation remains necessary.
  • Champions Network Development:Identify, train, and support a network of departmental AI champions who extend enablement beyond what one trainer can reach. Equip champions with materials, talking points, and a feedback channel back into the program. Coordinate regular champion check-ins to share best practices, address emerging challenges, and scale adoption. Recognize and celebrate champion contributions to build engagement and program visibility.
  • Responsible Use and Compliance Integration:Teach safe data-handling practices with clear guidance on PHI, HIPAA considerations, and what should and shouldn't be put into AI tools. Partner with Information Security to translate governance policy into plain-language, practical user guidance. Make responsible-AI practices a default part of every training module, not a footnote. Reinforce human review requirements, scope limits, and role clarity in all AI-supported work.
  • Measurement, Reporting, and Continuous Improvement:Define and track enablement metrics: active usage, feature adoption, session attendance, satisfaction scores, and self-reported productivity gains. Use adoption data and user feedback to continuously refine content and target underperforming areas. Report progress and insights to program leadership on a regular cadence. Maintain the program's living documentation so the enablement system keeps running as the team and tools evolve.
  • Work in lockstep with the AI Director and Program Manager - Workforce Productivity so enablement, communications, and governance stay aligned.
  • Performs other duties as assigned.

EDUCATION
  • Bachelors in Business or 4 years equivalent experience, Communications, Linguistics, Human Resources, Computer Science, Analytics, Education, Healthcare Administration, or related field Required
  • Masters in related field Preferred

EXPERIENCE
  • 2 years, Experience in training, enablement, learning & development, instructional design, or closely related role Required
  • , Demonstrated ability to teach software/technology to non-technical audiences and meet people at their skill level Required
  • , Hands-on experience with prompt engineering, M365 Copilot, or applied AI tools (or demonstrated rapid ability to master) Required
  • , Experience supporting enterprise software or AI tool rollouts at scale (hundreds of users) Preferred
  • , Familiarity with healthcare operations and data-sensitivity requirements (HIPAA/PHI awareness) Preferred
  • , Experience building or running a champions/ambassador program Preferred
  • , Comfort working with adoption analytics and using data to guide enablement decisions Preferred

LICENSE AND CERTIFICATIONS
  • AI, prompt engineering, change management, or related coursework/certification Preferred

We're all in for your career.


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About HonorHealth

Sourced by ZipRecruiter

HonorHealth is a non-profit, local community healthcare system serving an area of 1.6 million people in the greater Phoenix area. The network encompasses six acute-care hospitals, an extensive medical group, outpatient surgery centers, a cancer care network, clinical research, medical education, a foundation, and community services with approximately 13,100 team members, 3,500 affiliated providers and nearly 700 volunteers. HonorHealth was formed by a merger between Scottsdale Healthcare and John C. Lincoln Health Network. HonorHealth's mission is to improve the health and well-being of those we serve.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US

Year founded

2014