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$12

$29

$60

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

As of May 28, 2026, the average hourly pay for contract remote ai trainer in Houston, TX is $29.84, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $33.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Remote AI Trainer, and why are they important?

To excel as a Contract Remote AI Trainer, you need a solid understanding of artificial intelligence concepts, data annotation, and strong analytical thinking, often backed by relevant educational background or experience in AI or machine learning. Familiarity with tools such as data labeling platforms, annotation software, and collaboration systems is typically required. Excellent communication, attention to detail, and the ability to work independently are essential soft skills for this remote role. These abilities ensure the delivery of high-quality training data and effective collaboration, which are critical for the success of AI model development.

How do Contract Remote AI Trainers typically collaborate with machine learning engineers and data scientists?

As a Contract Remote AI Trainer, you’ll regularly work alongside machine learning engineers and data scientists to improve AI model performance. This collaboration often involves reviewing model outputs, providing detailed feedback, refining training data, and aligning on annotation guidelines. Communication is usually facilitated through project management and communication tools, with regular virtual check-ins and updates. Your input is crucial for ensuring that models learn from high-quality, accurate data, making teamwork and clear communication essential for success in this remote environment.

What are Contract Remote AI Trainers?

Contract Remote AI Trainers are professionals hired on a contract basis to help train artificial intelligence (AI) systems from a remote location. They typically review, label, and provide feedback on data to improve machine learning models, such as chatbots or image recognition tools. These trainers may be required to annotate text, evaluate AI responses, or perform other data-related tasks, depending on the specific project. Their work helps ensure AI systems are accurate, ethical, and aligned with human expectations. This role is ideal for those seeking flexible, project-based work in the growing AI industry.

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

AspectContract Remote Ai TrainerData Annotator
Required CredentialsBasic technical skills, training experienceAttention to detail, basic computer skills
Work EnvironmentRemote, independentRemote or onsite, task-focused
Industry UsageAI development, machine learning projectsData labeling, dataset preparation
Common Search IntentAI training roles, machine learning jobsData annotation, labeling jobs

Contract Remote Ai Trainers focus on training AI models by providing labeled data and feedback, often requiring some technical knowledge. Data Annotators primarily label data to prepare datasets, with less emphasis on AI-specific training. While both roles are remote and involve data work, Ai Trainers typically have more specialized skills related to AI development.

What are the most commonly searched types of Remote Ai Trainer jobs in Houston, TX? The most popular types of Remote Ai Trainer jobs in Houston, TX are:
What are popular job titles related to Contract Remote Ai Trainer jobs in Houston, TX? For Contract Remote Ai Trainer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Contract Remote Ai Trainer jobs in Houston, TX look for? The top searched job categories for Contract Remote Ai Trainer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Contract Remote Ai Trainer jobs? Cities near Houston, TX with the most Contract Remote Ai Trainer job openings:
Contract Remote Ai Trainer jobs near you
Product Security Engineer - AI Trainer

Product Security Engineer - AI Trainer

DataAnnotation

Houston, TX • Remote

$40 - $75/hr

Part-time

Posted 3 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