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Remote Ai Coding Trainer Jobs in Berkeley, CA (NOW HIRING)

Hercules

AI Context & Harness Engineer

San Francisco, CA · On-site +1

$100K - $250K/yr

Build, maintain, and own Hercules' AI coding agent * Build, maintain, and own Hercules' online ... Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny ...

Mercor

Fraud Engineer - AI Specialist

San Francisco, CA · Remote

$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex fraud and risk engineering tasks. * Review model-generated implementations involving fraud detection ...

NxT Level

Lead AI Engineer

San Francisco, CA · Remote

Remote / Flexible Employment Type: Full-time Focus: AI Agents, Enterprise Legal Tech, Contract ... Promote strong engineering practices across architecture, code quality, testing, CI/CD, and ...

Posted today

YO AI Labs

Medical Coder - Remote

San Francisco, CA · Remote

$50 - $80/hr

Remote Job Overview We are seeking experienced Medical Coders to contribute their healthcare coding ... improve AI training data quality. Required Skills * Medical Coding * ICD-10 * CPT * CPC ...

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Remote Ai Coding Trainer information

See Berkeley, CA salary details

$16

$38

$77

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

As of Aug 23, 2026, the average hourly pay for remote ai coding trainer in Berkeley, CA is $38.25, according to ZipRecruiter salary data. Most workers in this role earn between $24.42 and $43.56 per hour, depending on experience, location, and employer.

What is a remote AI coding trainer?

A Remote AI Coding Trainer is a professional who teaches individuals or groups how to code artificial intelligence (AI) systems, typically through online platforms. They create lesson plans, provide coding exercises, and guide students in understanding AI concepts such as machine learning, neural networks, and data analysis. Working remotely, these trainers use video conferencing, online coding environments, and digital resources to deliver instruction and feedback. Their role is crucial in helping learners acquire in-demand AI skills while offering the flexibility of remote education.

What are the key skills and qualifications needed to thrive as a remote AI coding trainer?

To thrive as a Remote AI Coding Trainer, you need advanced knowledge of programming languages (such as Python), machine learning concepts, and a degree in computer science or a related field. Familiarity with online learning platforms, Jupyter Notebooks, version control systems like Git, and relevant AI frameworks (e.g., TensorFlow, PyTorch) is essential. Exceptional communication, patience, and the ability to simplify complex topics are critical soft skills for engaging and supporting remote learners. These skills and qualities enable trainers to effectively teach cutting-edge AI concepts, adapt to diverse student needs, and foster a productive virtual learning environment.

What are some common challenges faced by remote AI coding trainers, and how can they be addressed?

Remote AI Coding Trainers often encounter challenges such as maintaining student engagement in a virtual environment and adapting teaching methods to diverse learning styles. Effective communication and the use of interactive teaching tools are key to overcoming these hurdles. Additionally, trainers must stay updated with rapidly evolving AI technologies to provide relevant instruction. Building a supportive online community and providing regular feedback can help foster collaboration and ensure learner success.

What is the difference between Remote Ai Coding Trainer vs Remote Machine Learning Instructor?

AspectRemote Ai Coding TrainerRemote Machine Learning Instructor
Required CredentialsProgramming certifications, AI and coding knowledgeMachine learning certifications, AI and data science expertise
Work EnvironmentOnline training platforms, virtual classroomsOnline courses, webinars, virtual labs
Employer & Industry UsageEdTech companies, tech training firmsUniversities, online education providers
Search & Comparison IntentComparing roles in AI coding educationRoles in machine learning education and training

The Remote Ai Coding Trainer primarily focuses on teaching coding skills related to artificial intelligence, often emphasizing programming languages like Python and frameworks such as TensorFlow. The Remote Machine Learning Instructor specializes in teaching broader machine learning concepts, algorithms, and data science techniques. While both roles involve online instruction and AI-related content, the Ai Coding Trainer concentrates on coding implementation, whereas the Machine Learning Instructor covers theoretical and applied machine learning topics.

What are popular job titles related to Remote Ai Coding Trainer jobs in Berkeley, CA?

For Remote Ai Coding Trainer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Coding Trainer jobs in Berkeley, CA look for?

The top searched job categories for Remote Ai Coding Trainer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Ai Coding Trainer jobs?

Cities near Berkeley, CA with the most Remote Ai Coding Trainer job openings:

Remote Ai Coding Trainer jobs near you

AI Coding Specialist - Fully Remote | Upto $90/hr

Mercor

San Francisco, CA • Remote

$90/hr

Full-time

Posted 4 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Software Engineering Expert
Type: Contract
Compensation: $60–$90/hour
Location: Remote
Commitment: 35 hours/week

Role Responsibilities

  • Design realistic, multi-step software engineering challenges to push the limits of today's best AI coding agents.
  • Build reference solutions using Python with clear, verifiable answers.
  • Work with AI coding assistants to identify their strengths and weaknesses in your workflow.
  • Review tasks from fellow experts, providing feedback on clarity, correctness, and difficulty.
  • Analyze AI agent failures to help the research team understand task challenges.

Qualifications

Must-Have

  • MSc or PhD in computer science or a related STEM field, or equivalent practical experience.
  • 1+ years of experience in research, research-engineering, or software engineering.
  • Strong skills in Python scripting and debugging.
  • Fluency with Git, IDEs, and standard software development workflows.
  • Ability to work independently on open-ended problems.

Preferred

  • Experience with AI coding assistants, prompt engineering, or agent workflows.
  • Past experience in AI training, model evaluation, or benchmark/task authoring.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.