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Remote Ai Training Jobs in Decatur, GA (NOW HIRING)

DataAnnotation

QA Engineer - AI Trainer

Atlanta, GA · 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

Sandy Springs, GA · 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

South Fulton, GA · 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 training jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote ai training in Decatur, GA is $41.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $52.55 per hour, depending on experience, location, and employer.

What is a Remote AI Training job?

A Remote AI Training job involves labeling, annotating, and evaluating data to help improve machine learning models. Workers in this role often review AI-generated responses, assess accuracy, and provide feedback to enhance AI performance. The job is typically done online and requires attention to detail, critical thinking, and familiarity with AI tools. Many companies hire remote AI trainers to refine chatbots, search engines, and other AI-driven applications.

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

To thrive in Remote AI Training, you need a solid understanding of machine learning concepts, data annotation techniques, and attention to detail, often supported by relevant coursework or experience in data science or computer science. Familiarity with labeling platforms, data management tools, and sometimes certification in AI-related fields is typically expected. Strong communication, time management, and the ability to work independently are vital soft skills in this remote setting. These skills ensure high-quality, accurate training data for AI models while maintaining productivity and collaboration with distributed teams.

What are some typical challenges faced in a Remote AI Training position and how can they be addressed?

One common challenge in Remote AI Training roles is maintaining consistent data quality while managing repetitive tasks independently. To address this, professionals use standardized guidelines, periodic feedback sessions, and collaborative review processes. Remote work also requires strong self-motivation and regular communication with team members to resolve ambiguities or receive updates on project requirements. Employers often provide training sessions and set up digital tools to keep collaboration smooth, ensuring productivity and accuracy across distributed teams.
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Incident Response Engineer - AI Trainer

Incident Response Engineer - AI Trainer

DataAnnotation

Sandy Springs, GA • Remote

$40 - $75/hr

Part-time

Posted 7 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