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Remote Artificial Intelligence Trainer Jobs (NOW HIRING)

LMI

Artificial Intelligence Lead

Overview LMI is seeking an experienced Artificial Intelligence (AI) Lead to support the General ... This position is anticipated to be majority remote, but with the ability to travel and visit the ...

Ziply Fiber

Director, Artificial Intelligence (AI)

$165K - $200K/yr

This is a remote position. Position Title: Director, Artificial Intelligence (AI) Base Salary: $165 ... training, career growth and education reimbursement programs. Ziply Fiber is a local internet ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

FL · Remote

$18 - $40/hr

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

Akron, OH · Remote

$18 - $40/hr

What We Look For In a Artificial Intelligence (AI) Tutor * Advanced Subject Mastery: Deep knowledge ... Skilled at breaking down neural network architectures, training optimization, and model evaluation ...

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Remote Artificial Intelligence Trainer information

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How much do remote artificial intelligence trainer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote artificial intelligence trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote Artificial Intelligence Trainers, and how can they effectively address them?

Remote Artificial Intelligence Trainers often encounter challenges such as maintaining clear communication with development teams across different time zones, ensuring consistent annotation quality, and staying updated with rapidly evolving AI technologies. To address these, it's important to establish regular check-ins, utilize collaborative platforms, and participate in ongoing training sessions. Building a strong feedback loop with data scientists and engineers also helps trainers align their work with project goals and maintain high standards in data labeling and model evaluation.

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

To thrive as a Remote Artificial Intelligence Trainer, you generally need a strong background in data analysis, machine learning concepts, and a relevant degree or experience in computer science or related fields. Familiarity with annotation platforms, AI model evaluation tools, and sometimes certifications in data science or AI are typically expected. Excellent communication, attention to detail, and self-motivation are crucial soft skills for remote collaboration and effective data labeling. These abilities ensure the quality and accuracy of AI training data, directly impacting the performance and reliability of AI systems.

What are Remote Artificial Intelligence Trainers?

Remote Artificial Intelligence Trainers are professionals who work online to teach, guide, and evaluate artificial intelligence systems, such as machine learning models or chatbots. Their responsibilities often include labeling data, providing feedback on AI outputs, designing training datasets, and ensuring that AI systems learn to provide accurate and ethical responses. Working remotely allows them to collaborate with teams or companies from anywhere in the world, often using specialized software or platforms. This role is essential for improving the performance, fairness, and reliability of AI applications.

What is the difference between Remote Artificial Intelligence Trainer vs Data Annotator?

AspectRemote Artificial Intelligence TrainerData Annotator
Required CredentialsBasic technical skills, training in AI conceptsMinimal; often on-the-job training
Work EnvironmentRemote, collaborative with AI teamsRemote or on-site, focused on data labeling
Industry UsageAI development, machine learning projectsData preparation for AI models

Remote Artificial Intelligence Trainers focus on training AI models by providing labeled data and refining algorithms, while Data Annotators primarily label and categorize data to prepare it for AI systems. Both roles are essential in AI development but differ in scope and responsibilities.

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What cities are hiring for Remote Artificial Intelligence Trainer jobs? Cities with the most Remote Artificial Intelligence Trainer job openings:
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Remote Artificial Intelligence Trainer jobs near you
Infographic showing various Remote Artificial Intelligence Trainer job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Artificial Intelligence Engineer (Remote)

Artificial Intelligence Engineer (Remote)

Eazifunds

San Francisco, CA • On-site, Remote

Full-time

Re-posted 28 days ago

Job description

The Role:
We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), LLM, computer vision, robotic process automation, human in the loop, decision-making engines, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role:
1. Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
2. Understand company and client challenges and how integrating AI capabilities can help lead to solutions
3. Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
4. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards
Responsibilities:
1. Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
2. Work on functional design, process design (including scenario design and flow mapping), prototyping, testing, training, and defining support procedures in collaboration with an advanced engineering team and executive leadership
3. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
4. Manage a team in conducting assessments of the AI and automation market and competitor landscape
5. Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation
Requirement skills and qualifications:
1. Two or more years of experience in applying AI to practical and comprehensive technology solutions
2. Experience with ML, deep learning, TensorFlow, Python, and NLP
3. Experience in program leadership, governance, and change enablement
5. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
6. Experience in REST API development, NoSQL database design, and RDBMS design and optimization
Plus:
1. A bachelor's or master's degree in computer science or related field
2. Experience with innovation accelerators
3. Experience with cloud environments
What we can offer:
1. Salary
2. Stock options
3. Performance-Based Bonus
4. Employee Benefits

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