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Per Diem Remote Data Annotation Jobs in California

UCLA Health

Outpatient Coder - Per Diem

Los Angeles, CA · On-site +1

$47.60 - $62.78/hr

Los Angeles, CA, USA Onsite or Remote Fully Remote Work Schedule Monday - Friday, 6:00 AM - 3:00 PM ... You will abstract all coded data in a timely and accurate manner into the abstracting system.

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Per Diem Remote Data Annotation information

What is a per diem remote data annotation?

Per Diem Remote Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, or audio on a flexible, as-needed (per diem) basis from a remote location. Workers in these roles help train machine learning models by providing accurate and consistent annotations. This type of job is ideal for individuals seeking flexible schedules, as work assignments are typically offered based on demand and availability. Per diem annotators are often paid per task or per hour, and the work can be done from home with a computer and internet connection.

What are the key skills and qualifications needed to thrive as a per diem remote data annotation?

To thrive as a Per Diem Remote Data Annotation Specialist, you need strong attention to detail, proficiency in data analysis, and often a background in relevant fields such as computer science, linguistics, or related areas. Familiarity with data labeling platforms, annotation software, and sometimes specific machine learning tools or guidelines is typically required. Excellent time management, clear communication, and the ability to work independently are valuable soft skills in this role. These skills help ensure accurate data labeling, which is crucial for training high-quality AI models and maintaining project efficiency.

What are the typical challenges faced by per diem remote data annotation professionals, and how can they be addressed?

Per Diem Remote Data Annotation professionals often encounter challenges such as maintaining consistent annotation quality, managing fluctuating workloads, and staying up-to-date with changing annotation guidelines. Since the role is remote and per diem, clear communication with project managers and proactive time management are essential. Utilizing provided training materials, participating in quality assurance feedback sessions, and connecting with other annotators through team channels can help overcome these challenges and ensure high-quality, accurate work.

What is the difference between Per Diem Remote Data Annotation vs Per Diem Remote Data Labeling?

AspectPer Diem Remote Data AnnotationPer Diem Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageTech, AI, machine learningTech, AI, machine learning
Job FocusAdding annotations to data (e.g., bounding boxes, segmentation)Assigning labels to data (e.g., categories, tags)

Both roles involve working remotely with similar credentials, but data annotation focuses on adding detailed markings to data, while data labeling involves categorizing data. Understanding these differences helps job seekers find the right position aligned with their skills and career goals.

What are the most commonly searched types of Remote Data Annotation jobs in California?

The most popular types of Remote Data Annotation jobs in California are:

What cities in California are hiring for Per Diem Remote Data Annotation jobs?

Cities in California with the most Per Diem Remote Data Annotation job openings:

Per Diem Remote Data Annotation jobs near you

AI Software Engineer Expert - Remote

YO AI Labs

Palo Alto, CA • Remote

$100 - $200/hr

Part-time

Posted 5 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.