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Ai Content Trainer Jobs (NOW HIRING)

Socket.dev

Training Content Specialist

Fort Wayne, IN · On-site

$60 - $80/hr

Experience with AI content development tools (e.g., Synthesia, ChatGPT) * Strong writing and ... trainer dedicated to helping you reach your fitness goals. Whether you're interested in group ...

Fi NOW

Marketing Content Manager (Austin, TX)

Austin, TX · On-site

$80 - $100/hr

Update and maintain the organization's New Member Onboarding training deck to give incoming members ... Experience using AI content creation tools * Strong writing proficiency in various mediums, i.e ...

AEM

B2B Sr. Content & Social Media Manager

This is a hands-on role for someone who uses AI tools as part of their daily workflow to produce ... F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or ...

AI Fund

Curriculum Product Manager

... training. They are seeking a Curriculum Product Manager to co-create AI/ML courses and ensure high-quality content by collaborating with AI experts and guiding the content development process.

eBacon

Content Ops & AI Specialist

Phoenix, AZ · Remote

Content Ops & AI Specialist $75K - $85K | Full time | Remote - USA** We need a content operator who ... Experience training or fine-tuning prompt libraries for consistent brand voice at scale

Amazon

Solutions Architect, Frontier AI Startups

Boston, MA · On-site

$68.50 - $90.25/hr

The companies defining the future of AI are a small number of startups training, tuning, and ... You will contribute to the broader technical community through written content and conference ...

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Ai Content Trainer information

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How much do ai content trainer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai content 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 AI content trainer?

AI Content Trainers are professionals who teach and refine artificial intelligence systems to understand, generate, and evaluate human-like content. They work by curating datasets, labeling data, and providing feedback to improve AI models' accuracy and relevance. Their role is crucial in ensuring that AI-generated content aligns with user expectations, ethical standards, and the specific goals of a project. AI Content Trainers often collaborate with software engineers, data scientists, and subject matter experts to enhance machine learning outcomes.

What are the key skills and qualifications needed to thrive as an AI content trainer?

To thrive as an AI Content Trainer, you need a strong background in linguistics, content moderation, and data annotation, often supported by a degree in English, communications, or a related field. Familiarity with annotation platforms, workflow management tools, and experience using AI training systems or NLP tools is highly valuable. Exceptional attention to detail, critical thinking, and clear communication help ensure high-quality data labeling and effective feedback. These skills are crucial for developing reliable AI systems and improving overall model performance.

How does an AI content trainer typically collaborate with software developers and data scientists on projects?

AI Content Trainers work closely with software developers and data scientists to ensure that training data and content guidelines align with model goals. They often provide annotated datasets, clarify context for desired outputs, and participate in iterative feedback sessions to refine AI behavior. Effective communication and regular meetings are key, as trainers bridge the gap between technical teams and content quality requirements. This collaborative approach ensures that the AI system delivers accurate and contextually appropriate results.

What is the difference between Ai Content Trainer vs Content Writer?

AspectAi Content TrainerContent Writer
Required CredentialsKnowledge of AI tools, training, and data annotationWriting skills, language proficiency, possibly a degree in English or Communications
Work EnvironmentTech companies, AI startups, remote or office-basedMedia, marketing agencies, freelance or in-house roles
Employer & Industry UsagePrimarily in AI and tech industriesBroad across publishing, marketing, media
Search & Comparison IntentUnderstanding roles in AI training and developmentContent creation and writing careers

The main difference between an Ai Content Trainer and a Content Writer lies in their focus and skill set. An Ai Content Trainer specializes in training AI models using data annotation and understanding AI workflows, often within tech companies. In contrast, a Content Writer focuses on creating written content for various media and marketing purposes. Both roles may require strong language skills, but their work environments and industry applications differ significantly.

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Ai Content Trainer jobs near you
Infographic showing various Ai Content 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.

Principal Product Manager, Personalization AI

Redmond, WA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

$220K - $331K/yr

Full-time

Re-posted 4 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

70th of 247 rated software companies

Job description

Overview
Microsoft AI's content team is building the next generation of content with user understanding, and personalization systems behind experiences across Edge, Windows, Copilot, and partner surfaces that reach hundreds of millions of people. We are hiring a Principal Product Manager to drive personalization, user understanding and how that translates to our content ranking systems.
You will define personalization and ranking strategy end to end: how user interests are represented, how candidates are retrieved, how content understanding and user signals become ranking features, how models are trained and evaluated, and how the final ranked experience trades off relevance, freshness, quality and long-term user value. You will set the vision for AI-native personalization, i.e. generative recommendation, agentic user understanding, and closed learning loops while also coordinating with our content ranking product managers.
This role sits at the intersection of consumer product, ML systems of rigor, AI-native workflows and organizational leadership. You'll operate with high agency and set directions that multiple teams execute against and align senior stakeholders across MAI and partner organizations.
Responsibilities
  • Define the product vision, strategy, and roadmap for AI-powered personalization across recommendation systems, user and content understanding, agentic memory, and generative AI content experiences.
  • Translate user and product goals into clear requirements for ranking, retrieval, profile generation, memory, data pipelines, evaluation, and serving systems.
  • Own communication with senior MAI leadership on overall strategy and investment.
  • Own the ranking objective and how it integrates personalization: decide what models optimize for, balancing engagement, retention, content diversity, safety, and long-term user value, and translate that into label strategies, training data requirements, and model plans.
  • Drive how signals become ranking features, including user behavior, content understanding, quality, freshness, and context. Work cross functionally to set quality bars for what enters the feature store and the models.
  • Design how Edge, Windows, Copilot, and partner surfaces consume the shared ranking stack through clear interfaces, per-surface tuning, and quality bars that scale integration.
  • Own the evaluation and experimentation framework: offline metrics that predict online outcomes, A/B test design, guardrail metrics, and proving ranking lift on engagement, retention, and business outcomes.
  • Set strategic direction for the personalization platform - user profiles, agentic memory, content understanding, generative recommendation, and serving infrastructure - ensuring compounding capability over time.
  • Align VP-level stakeholders across MAI and partner organizations, set prioritization frameworks, and influence resource allocation across multiple teams.
  • Partner with privacy, consent, legal, and policy teams to make ranking trustworthy by design.

Qualifications
Required:
  • Bachelor's Degree AND 15+ years experience in product/service/program management or software development, OR equivalent experience.

Preferred:
  • 17+ years experience in product/service/program management or software development, OR equivalent experience.

  • 7+ years building consumer-facing recommendation, personalization, search, feed, or content ranking products at scale.

  • Track record of defining and landing product strategy at the organizational level, influencing investment decisions and aligning senior leadership behind a technical product vision.

  • Experience owning ranking or recommendation objective functions end to end - deciding what models optimize for, not just how they optimize.

  • Deep experience with ranking and personalization platform architecture: user profiles, candidate retrieval, ranking models, signal pipelines, feature stores, evaluation systems, and multi-surface integration.

  • Experience with generative AI, LLMs, agents, user memory, or retrieval and ranking systems in production consumer products.

  • Strong technical fluency across ML systems, ranking architectures, data pipelines, experimentation platforms, and scalable serving infrastructure.

  • The combination of consumer product taste, systems rigor, and organizational leadership - caring about both the quality users feel and the strategy that compounds value over time.

  • Working knowledge of SQL, Python, experimentation platforms, analytics tools, or data investigation workflows.

#MicrosoftAI
Product Management IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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