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Internship Ai Annotation Writing Jobs in California

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Internship Ai Annotation Writing information

What is the difference between Internship Ai Annotation Writing vs Data Labeling Specialist?

AspectInternship Ai Annotation WritingData Labeling Specialist
CredentialsTypically students or entry-level with basic technical skillsOften requires experience with labeling tools and data management
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageCommon in AI development, machine learning projectsUsed across AI, autonomous vehicles, and data-driven industries

Internship Ai Annotation Writing focuses on entry-level tasks like creating annotations for AI training data, often as part of an internship program. Data Labeling Specialist involves more experienced data annotation work, often with specialized tools and higher accuracy requirements. Both roles are essential in AI development but differ mainly in experience level and scope.

What are the most commonly searched types of Ai Annotation Writing jobs in California?

The most popular types of Ai Annotation Writing jobs in California are:

What cities in California are hiring for Internship Ai Annotation Writing jobs?

Cities in California with the most Internship Ai Annotation Writing job openings:

AI Software Engineer Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 23 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.