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Remote Artificial Intelligence Trainer Jobs in California

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Remote Artificial Intelligence Trainer information

What is a remote artificial intelligence trainer?

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 are the key skills and qualifications needed to thrive as a remote artificial intelligence trainer?

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 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 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.

What are the most commonly searched types of Artificial Intelligence Trainer jobs in California?

The most popular types of Artificial Intelligence Trainer jobs in California are:

What are popular job titles related to Remote Artificial Intelligence Trainer jobs in California?

For Remote Artificial Intelligence Trainer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Artificial Intelligence Trainer jobs in California look for?

The top searched job categories for Remote Artificial Intelligence Trainer jobs in California are:

What cities in California are hiring for Remote Artificial Intelligence Trainer jobs?

Cities in California with the most Remote Artificial Intelligence Trainer job openings:

Infographic showing various Remote Artificial Intelligence Trainer job openings in California as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Artificial Intelligence Associate Attorney

San Francisco, CA โ€ข On-site, Remote

$235K - $310K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

Associate Attorney – Artificial Intelligence

Direct Counsel is seeking an Associate Attorney to join a leading AmLaw 100 law firm’s rapidly growing Artificial Intelligence practice. This is a highly substantive, client-facing opportunity for an attorney with 2–4 years of experience who is interested in working at the intersection of artificial intelligence, emerging technology, regulation, litigation, and corporate transactions.

The ideal candidate will have experience in regulatory/advisory, corporate transactional, or litigation matters and be interested in developing a practice focused on cutting-edge AI issues. Candidates with either a litigation or corporate background are encouraged to apply, provided they are open to working across corporate, regulatory, and litigation matters.

Locations

Atlanta, GA; Austin, TX; Baltimore, MD; Boston, MA; Chicago, IL; Dallas, TX; Houston, TX; Los Angeles, CA; Miami, FL; Minneapolis, MN; New York, NY; Palo Alto, CA; Philadelphia, PA; Phoenix, AZ; Reston, VA; San Diego, CA; San Francisco, CA; Seattle, WA; Short Hills, NJ; Washington, DC; Wilmington, DE

Responsibilities
  • Advise clients on AI governance, regulatory compliance, and risk, including emerging AI transparency, disclosure, and regulatory requirements.

  • Monitor developments in AI law and regulation and translate emerging requirements into practical, client-ready guidance.

  • Support AI-related corporate and technology transactions, including due diligence, drafting and negotiating agreements, and identifying and mitigating AI-specific risks.

  • Develop subject matter expertise in AI issues within the corporate transactional context and serve as a resource to deal teams across the firm.

  • Conduct legal research and draft briefs, motions, memoranda, correspondence, and other high-quality legal work product in support of litigation and regulatory matters.

  • Support fact development, discovery, depositions, and case strategy in litigation and regulatory investigations.

  • Work collaboratively with attorneys across AI, corporate, litigation, and regulatory practices.

  • Build and maintain strong client relationships through effective communication and practical legal advice.

  • Stay current on emerging developments in artificial intelligence, technology, and related legal and regulatory frameworks.

Qualifications
  • J.D. from an accredited law school with strong academic credentials, preferably from a nationally recognized law school.

  • 2–4 years of relevant legal experience, preferably gained at an AmLaw 100 or other top-tier law firm.

  • Experience in one or more of the following areas: regulatory/advisory, corporate transactional, technology transactions, litigation, or regulatory matters.

  • Willingness and ability to work on a mix of corporate and litigation/regulatory matters.

  • Excellent legal research, writing, analytical, and problem-solving skills.

  • Strong judgment and attention to detail.

  • Excellent written and verbal communication skills.

  • Ability to produce polished, high-quality work product under tight deadlines.

  • Strong organizational skills and the ability to manage competing priorities.

  • Ability to work effectively both independently and collaboratively.

  • Admission, or eligibility for admission, in the relevant jurisdiction.

Preferred Qualifications
  • Genuine interest in artificial intelligence and emerging technology.

  • Prior experience advising on AI-related legal or regulatory issues.

  • Experience with technology transactions or AI-related corporate matters.

  • Experience with regulatory investigations or litigation involving emerging technologies.

Compensation & Benefits

The anticipated salary range for this position is $235,000–$310,000 per year, depending on experience, skills, educational and professional background, and overall qualifications. The firm offers a comprehensive benefits package, including medical, dental, vision, and 401(k) benefits.

Work Arrangement

This position offers a hybrid work arrangement combining remote and in-office work, with the specific arrangement determined at the time of hiring.