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Remote Ai Trainer Jobs in Rochester, MN (NOW HIRING)

DataAnnotation

SDLC Engineer - AI Trainer

Rochester, MN · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Coder ...

DataAnnotation

QA Engineer - AI Trainer

Rochester, MN · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for a proficient Coder ...

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How much do remote ai trainer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote ai trainer in Rochester, MN is $31.76, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $36.15 per hour, depending on experience, location, and employer.

What does a typical day look like for a Remote AI Trainer?

As a Remote AI Trainer, your day usually involves reviewing, labeling, and categorizing large datasets such as text, images, or audio to help train and improve AI models. You may participate in virtual meetings with data scientists or machine learning engineers to discuss guidelines, resolve ambiguities, and review feedback. Regular tasks include ensuring the quality of annotations, updating documentation, and sometimes designing new labeling workflows or guidelines. The role is largely independent but requires clear communication and collaboration with team members across different locations. Over time, you may have the opportunity to take on more complex projects, mentor new trainers, or transition into specialized roles in AI or data science.

What are the key skills and qualifications needed to thrive in the Remote Ai Trainer position, and why are they important?

To thrive as a Remote AI Trainer, you typically need a solid understanding of machine learning concepts, data annotation practices, and excellent analytical skills, often backed by a relevant degree or prior experience in AI or data science. Familiarity with data labeling tools, version control systems, and platforms like Python-based annotation frameworks is common, and certifications such as Coursera's AI or data science courses can be beneficial. Strong attention to detail, clear written communication, and time management are critical soft skills for working independently and delivering high-quality labeled data. These competencies ensure accurate, bias-free data preparation, effective collaboration with remote teams, and successful development of AI models.

What is a Remote AI Trainer job?

A Remote AI Trainer is responsible for improving artificial intelligence systems by providing accurate data, evaluating AI responses, and ensuring model performance aligns with human expectations. This role often involves tasks like annotating data, reviewing machine-generated content, and giving feedback to refine AI models. Remote AI Trainers typically work with natural language processing (NLP), computer vision, or other AI applications. Strong analytical skills, attention to detail, and familiarity with AI technologies are valuable for this position.

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Remote Ai Trainer jobs near you
Infographic showing various Remote Ai Trainer job openings in Rochester, MN as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $66,056 per year, or $31.8 per hour.
Product Security Engineer - AI Trainer

Product Security Engineer - AI Trainer

DataAnnotation

Rochester, MN • Remote

$40 - $75/hr

Part-time

Posted 16 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for experienced cybersecurity professionals to help advance AI development. Cybersecurity platforms are increasingly powered by AI — but these systems still need practitioners with real-world experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated security content, solving technical security problems, and providing feedback that directly shapes how these systems reason about real-world threats and defenses. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation and paid work will become available to you through our platform.

Benefits:

  • Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  • Flexible schedule: choose which projects you take on and when you work.
  • Projects are paid hourly starting at $50-75+/hr, with bonuses for high-quality and high-volume work
  • Impact: help shape the future of AI technologies built for cybersecurity.

Responsibilities:

  • Evaluate AI-generated cybersecurity content — including threat analysis, vulnerability assessments, and offensive security techniques — for real-world accuracy and validity.
  • Design and solve security-focused technical problems used to train AI systems.
  • Write clear technical explanations and security-relevant code.
  • Provide feedback that directly shapes the next generation of AI security models.

Qualifications:

  • 2+ years of hands-on experience in a cybersecurity role — such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations.
  • Some coding experience required; comfort navigating and patching a codebase is key.
  • Fluency in English (native or bilingual level) with strong writing skills.
  • A bachelor's degree is preferred.
  • Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH, and similar).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

#cybersecurity