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Entry Level Remote Ai Training Jobs in California

YO AI Labs

AI Trainer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Trainer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Technical Trainer - Remote

San Francisco, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Technical Trainer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Technical Trainer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Technical Trainer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

AI Engineer - Remote

San Francisco, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

YO AI Labs

Dutch Bilingual Expert - Remote

San Jose, CA · Remote

$30 - $65/hr

Remote Job Overview We are seeking Dutch Bilingual Experts to contribute to a global language and AI training project focused on improving Dutch-language understanding and generation. In this role ...

YO AI Labs

English Language Expert - Remote

Palo Alto, CA · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI training and evaluation project. In this hourly remote role, you will review AI-generated English ...

YO AI Labs

English Language Expert - Remote

San Jose, CA · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI training and evaluation project. In this hourly remote role, you will review AI-generated English ...

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All JobsAi Training JobsEntry Level Remote Ai Training JobsEntry Level Remote Ai Training Jobs in California

Entry Level Remote Ai Training information

What is an entry level remote AI training?

An entry level remote AI training job involves helping to teach artificial intelligence systems by labeling data, reviewing outputs, and providing feedback. These roles typically require minimal prior experience and can be performed from home, making them accessible to a wide range of candidates. Tasks may include categorizing images, annotating text, or validating responses generated by AI models. The work helps improve the accuracy and reliability of AI technologies used in various industries.

What are the key skills and qualifications needed to thrive as an entry level remote AI training specialist?

To excel as an Entry Level Remote AI Training Specialist, you generally need strong analytical thinking, attention to detail, and basic familiarity with computers, often supported by a high school diploma or equivalent. Comfort with online collaboration tools, data annotation platforms, and sometimes familiarity with spreadsheet or task management systems is important. Excellent written communication, time management, and the ability to follow detailed instructions are standout soft skills in this role. These skills are crucial for ensuring accurate data labeling, meeting project deadlines, and supporting the effective development of AI technologies.

What are some common challenges faced by entry level remote AI training professionals and how can they be addressed?

Entry-level remote AI training professionals often encounter challenges such as understanding complex annotation guidelines, maintaining accuracy over repetitive tasks, and communicating effectively with remote teams. To overcome these, it's helpful to regularly review project documentation, participate in team check-ins for clarification, and use productivity tools to stay organized. Building a habit of double-checking work and seeking feedback from supervisors can also ensure high-quality results and facilitate professional growth.

What is the difference between Entry Level Remote Ai Training vs Data Annotator?

AspectEntry Level Remote Ai TrainingData Annotator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Employer & Industry UsageTech companies, AI startupsTech companies, AI industry
Common Search & Comparison IntentUnderstanding entry-level AI rolesClarifying data annotation jobs

Entry Level Remote Ai Training involves preparing AI models through tasks like data labeling and model testing, often requiring some technical understanding. Data Annotator focuses specifically on labeling data to train AI systems. While both roles are remote and entry-level, Ai Training may include broader tasks like model evaluation, whereas Data Annotator emphasizes data labeling. Both are essential in AI development and share similar skills, but Ai Training roles often involve more technical tasks and training processes.

What are the most commonly searched types of Remote Ai Training jobs in California?

The most popular types of Remote Ai Training jobs in California are:

What are popular job titles related to Entry Level Remote Ai Training jobs in California?

For Entry Level Remote Ai Training jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Ai Training jobs in California look for?

The top searched job categories for Entry Level Remote Ai Training jobs in California are:

What cities in California are hiring for Entry Level Remote Ai Training jobs?

Cities in California with the most Entry Level Remote Ai Training job openings:

Entry Level Remote Ai Training jobs near you
Infographic showing various Entry Level Remote Ai Training job openings in California as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

AI Trainer - Remote

YO AI Labs

Los Angeles, CA • Remote

$80 - $120/hr

Full-time

Posted 7 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.