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Chatgpt Trainer Jobs in Silver Spring, MD (NOW HIRING)

Deloitte

Workplace Engineer III/M365

Baltimore, MD

Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI ... and training; licensure and certifications; and other business and organizational needs. The ...

Deloitte

Lead Workplace Engineer II/M365

Mclean, VA

$103K - $136K/yr

Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI ... and training; licensure and certifications; and other business and organizational needs. The ...

Deloitte

Lead Workplace Engineer II/M365

Baltimore, MD

$101K - $134K/yr

Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI ... and training; licensure and certifications; and other business and organizational needs. The ...

AEM

Sales Development Program Manager

Germantown, MD · On-site

Claude, ChatGPT, or similar. This is a hard requirement, not a nice to have. * Comfortable reading ... F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or ...

Socket.dev

Property Accountant

Washington, DC · On-site

$85 - $100/hr

Co-Pilot, Claude, ChatGPT) The base pay range for this role is between $85,000-$100,000, and your base pay will depend on your skills, experience and training, knowledge, licensure and certifications ...

New

Valid8 Financial, Inc.

Property Accountant

Washington, DC · On-site

$85 - $100/hr

Co-Pilot, Claude, ChatGPT) The base pay range for this role is between $85,000-$100,000, and your base pay will depend on your skills, experience and training, knowledge, licensure and certifications ...

New

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All JobsChatgpt Trainer JobsChatgpt Trainer Jobs in Silver Spring, MD

Chatgpt Trainer information

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How much do chatgpt trainer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for chatgpt trainer in Silver Spring, MD is $27.95, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $32.31 per hour, depending on experience, location, and employer.

What is a ChatGPT trainer?

A ChatGPT Trainer is a professional who helps improve and guide the development of AI language models like ChatGPT. Their responsibilities often include annotating data, designing training prompts, reviewing AI responses, and providing feedback to ensure the model generates accurate, safe, and helpful outputs. They may also work on identifying biases, refining conversation flows, and contributing to the overall user experience of AI chatbots. ChatGPT Trainers typically have strong communication and analytical skills, and sometimes a background in linguistics, technology, or education.

What are the key skills and qualifications needed to thrive as a ChatGPT trainer?

To thrive as a ChatGPT Trainer, you need a solid background in linguistics, data annotation, and familiarity with AI language models, often supported by a degree in computer science, linguistics, or a related field. Experience with labeling tools, prompt engineering, and content management systems is typically required. Attention to detail, critical thinking, and strong written communication are vital soft skills for ensuring high-quality data and effective collaboration. These skills and qualifications are crucial for developing accurate, unbiased AI models that deliver useful and ethical responses.

What are the main challenges a ChatGPT trainer faces when curating and evaluating training data?

As a ChatGPT Trainer, one of the primary challenges is ensuring that training data is both diverse and representative of real-world user interactions while maintaining high standards for accuracy and appropriateness. Trainers must carefully balance including varied topics with filtering out biased or sensitive content. Additionally, it can be demanding to keep up with evolving language patterns and user expectations to continually improve model performance. Close collaboration with data scientists, developers, and content moderators is essential to address these challenges effectively.

What is the difference between Chatgpt Trainer vs AI Content Writer?

AspectChatgpt TrainerAI Content Writer
Required SkillsPrompt engineering, AI model understanding, data annotationContent creation, SEO, writing skills
Work EnvironmentAI labs, tech companies, remoteMarketing agencies, media companies, freelance
Industry UsageAI development, machine learning projectsDigital marketing, blogging, publishing

While both roles involve working with AI, a Chatgpt Trainer focuses on training and refining AI language models through prompt engineering and data annotation. An AI Content Writer primarily creates written content optimized for digital platforms. The roles overlap in AI understanding but differ in their core tasks and industry applications.

How do you become a Chatgpt trainer?

To become a ChatGPT trainer, individuals typically need strong skills in natural language processing, machine learning, and data annotation. Gaining experience with AI models, understanding prompt engineering, and familiarity with relevant tools like Python and AI platforms are also important; some roles may require a background in linguistics or computer science.

What are popular job titles related to Chatgpt Trainer jobs in Silver Spring, MD?

For Chatgpt Trainer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Chatgpt Trainer jobs in Silver Spring, MD look for?

The top searched job categories for Chatgpt Trainer jobs in Silver Spring, MD are:

Chatgpt Trainer jobs near you
Infographic showing various Chatgpt Trainer job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 56% Full Time, 40% Part Time, 2% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $58,132 per year, or $27.9 per hour.

Workplace Engineer III/M365

Deloitte

Baltimore, MD

Full-time

Posted 12 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

Cloud Infrastructure Engineer III - Workplace Engineering/M365

AI & Engineering helps organizations build, deploy, and operate integrated solutions across software, data, AI, networks, and hybrid cloud infrastructure. In this role, you will help deliver workplace engineering capabilities that modernize end-user environments, improve productivity, and support adoption of emerging technologies at scale. You will work with clients to design, implement, and optimize workplace solutions across Microsoft 365, Active Directory, endpoint management, digital employee experience, automation, AI-powered productivity tools, and modern collaboration technologies. This role provides an opportunity to help shape the future of work through intelligent workplace solutions that enhance employee experience, collaboration, and business outcomes.

Recruiting for this role ends on 9/21/2026.

Work You'll Do

  • Design, implement, and migrate Microsoft 365, Active Directory, Entra and other Workplace Engineering technologies.
  • Lead workstreams for workplace transformation initiatives across mobility, desktop delivery, collaboration, endpoint management, and user support environments.
  • Support enterprise implementations of Microsoft 365 Copilot, Power Platform, virtual desktop infrastructure solutions, and AI-enabled workplace technologies.
  • Collaborate with client and cross-functional teams to improve end-user experience through automation, predictive support analytics, intelligent tooling, and digital employee experience solutions.
  • Manage project activities, coordinate deliverables, and guide team members through implementation efforts across large-scale technology programs.
  • Support evaluation, implementation, and adoption of enterprise AI solutions including Copilot, Claude, ChatGPT Enterprise, Gemini, and similar workplace AI platforms.
  • Advise clients on future-of-work strategies, workforce productivity improvements, and AI-enabled collaboration solutions.

The Team

Join a team helping leading organizations transform how employees work through AI, automation, cloud platforms, and modern workplace technologies. You will collaborate with multidisciplinary teams to deliver innovative solutions that improve productivity, enhance employee experiences, and accelerate business transformation.

Required Qualifications

  • 5+ years of experience with workplace engineering solutions using Microsoft 365, Active Directory, and Entra ID
  • 3+ years of project or program management experience
  • 3+ years supporting enterprise-scale technology implementations
  • 2+ years leading teams
  • Bachelor's degree or equivalent experience
  • Ability to travel 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications

  • Experience with MDM, endpoint management solutions, and cloud-based endpoint computing infrastructure
  • Experience leading Microsoft 365 implementations including Exchange Online, SharePoint Online, and OneDrive for Business
  • Experience with Microsoft Endpoint Manager, Intune, Windows AutoPilot, and MECM
  • Experience with Power Apps, Power Automate, Power BI, Power Pages, Copilot Studio
  • Experience with migration tools such as Quest, BitTitan, ShareGate, and CTUDM
  • Experience with DaaS, VDI, and cloud computing environments
  • Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI platforms
  • Experience with Digital Employee Experience platforms such as Nexthink, Lakeside, Aternity or similar tools
  • Experience supporting AI governance, adoption, compliance, security, and change management initiatives
  • Experience leveraging analytics, telemetry, automation, and knowledge management solutions to improve workforce productivity

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Cloud Infrastructure Engineer III - Workplace Engineering/M365

AI & Engineering helps organizations build, deploy, and operate integrated solutions across software, data, AI, networks, and hybrid cloud infrastructure. In this role, you will help deliver workplace engineering capabilities that modernize end-user environments, improve productivity, and support adoption of emerging technologies at scale. You will work with clients to design, implement, and optimize workplace solutions across Microsoft 365, Active Directory, endpoint management, digital employee experience, automation, AI-powered productivity tools, and modern collaboration technologies. This role provides an opportunity to help shape the future of work through intelligent workplace solutions that enhance employee experience, collaboration, and business outcomes.

Recruiting for this role ends on 9/21/2026.

Work You'll Do

  • Design, implement, and migrate Microsoft 365, Active Directory, Entra and other Workplace Engineering technologies.
  • Lead workstreams for workplace transformation initiatives across mobility, desktop delivery, collaboration, endpoint management, and user support environments.
  • Support enterprise implementations of Microsoft 365 Copilot, Power Platform, virtual desktop infrastructure solutions, and AI-enabled workplace technologies.
  • Collaborate with client and cross-functional teams to improve end-user experience through automation, predictive support analytics, intelligent tooling, and digital employee experience solutions.
  • Manage project activities, coordinate deliverables, and guide team members through implementation efforts across large-scale technology programs.
  • Support evaluation, implementation, and adoption of enterprise AI solutions including Copilot, Claude, ChatGPT Enterprise, Gemini, and similar workplace AI platforms.
  • Advise clients on future-of-work strategies, workforce productivity improvements, and AI-enabled collaboration solutions.

The Team

Join a team helping leading organizations transform how employees work through AI, automation, cloud platforms, and modern workplace technologies. You will collaborate with multidisciplinary teams to deliver innovative solutions that improve productivity, enhance employee experiences, and accelerate business transformation.

Required Qualifications

  • 5+ years of experience with workplace engineering solutions using Microsoft 365, Active Directory, and Entra ID
  • 3+ years of project or program management experience
  • 3+ years supporting enterprise-scale technology implementations
  • 2+ years leading teams
  • Bachelor's degree or equivalent experience
  • Ability to travel 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications

  • Experience with MDM, endpoint management solutions, and cloud-based endpoint computing infrastructure
  • Experience leading Microsoft 365 implementations including Exchange Online, SharePoint Online, and OneDrive for Business
  • Experience with Microsoft Endpoint Manager, Intune, Windows AutoPilot, and MECM
  • Experience with Power Apps, Power Automate, Power BI, Power Pages, Copilot Studio
  • Experience with migration tools such as Quest, BitTitan, ShareGate, and CTUDM
  • Experience with DaaS, VDI, and cloud computing environments
  • Experience with Microsoft 365 Copilot, Claude, ChatGPT Enterprise, Gemini, or similar enterprise AI platforms
  • Experience with Digital Employee Experience platforms such as Nexthink, Lakeside, Aternity or similar tools
  • Experience supporting AI governance, adoption, compliance, security, and change management initiatives
  • Experience leveraging analytics, telemetry, automation, and knowledge management solutions to improve workforce productivity

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

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