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Home Based Data Annotation Jobs in Chicago, IL (NOW HIRING)

Overview Welo Data is hiring Croatian-speaking analysts to support our Speech & Voice AI team. You ... Strong written communication and language fundamentals * 1+ year in labeling/annotation/content ...

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Home Based Data Annotation information

What is the difference between Home Based Data Annotation vs Data Labeler?

AspectHome Based Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailSimilar; no formal certifications typically required
Work EnvironmentRemote, home-basedRemote or in-office, depending on employer
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job TasksAnnotating data for training AI modelsLabeling data for AI training

Both roles involve labeling data for AI systems, often working remotely. Home Based Data Annotation emphasizes working from home with flexible hours, while Data Labeler may work in various environments. Both positions are essential in AI development and share similar skills and industry usage.

What are the most commonly searched types of Data Annotation jobs in Chicago, IL?

The most popular types of Data Annotation jobs in Chicago, IL are:

What are popular job titles related to Home Based Data Annotation jobs in Chicago, IL?

For Home Based Data Annotation jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Home Based Data Annotation jobs in Chicago, IL look for?

The top searched job categories for Home Based Data Annotation jobs in Chicago, IL are:

AI Software Engineer Expert - Remote

YO AI Labs

Chicago, IL • Remote

$100 - $200/hr

Part-time

Posted 11 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.