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Day Shift Ai Data Annotation Jobs in Arizona (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

YO AI Labs

AI Data Science Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Prosum Inc.

AI Data Scientist

Phoenix, AZ · On-site

This role sites onsite 4 days a week and 1 day will be remote. The AI Data Scientist will focus on ... annotation, validation, and quality assurance. * Stay current with advances in computer vision ...

YO AI Labs

AI Finance Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

YO AI Labs

AI Consulting Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail ...

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ

$130K - $177K/yr

As a Senior Data Engineer in the AI Data Curation track, you will ensure that the data powering our ... Experience with data annotation tools and platforms for manual or semi-automated labeling.

Intel

Senior AI / Data Science Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Shift 1 (United States of America) Primary Location: US, Arizona, Phoenix Additional Locations:US ...

Encora

Solution Architect

Scottsdale, AZ · On-site

$190K - $191K/yr

... data collection, preprocessing, annotation, model training, optimization, and deployment across both cloud and edge environments. Stay current with emerging trends in AI, data engineering, and cloud ...

Encora

Solution Architect

Scottsdale, AZ · On-site

$190K - $191K/yr

... data collection, preprocessing, annotation, model training, optimization, and deployment across both cloud and edge environments. Stay current with emerging trends in AI, data engineering, and cloud ...

Deloitte

Senior Manager Data Lead

Tempe, AZ · Hybrid

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Manage day-to-day stakeholder relationships and align technical delivery to business and program ...

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ

This area supports AI/ML solution development for Claims, Marketing, and other internal departments ... Below are some of the tasks you can expect in the typical day of a Data Scientist: * Develop and ...

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All JobsDay Shift Ai Data Annotation JobsDay Shift Ai Data Annotation Jobs in Arizona

Day Shift Ai Data Annotation information

What is a day shift AI data annotation specialist?

Day Shift AI Data Annotation jobs involve labeling and categorizing data, such as images, text, or audio, during daytime working hours to help train artificial intelligence systems. Annotators review raw data and apply tags or labels according to specific guidelines, ensuring AI models learn to recognize patterns accurately. These roles are essential for improving the quality and reliability of machine learning algorithms. Typically, the work is detail-oriented and may be performed in an office or remotely. Day shift positions appeal to those who prefer standard business hours.

What are the key skills and qualifications needed to thrive as a day shift AI data annotation specialist?

To thrive as a Day Shift AI Data Annotation Specialist, you need strong attention to detail, basic computer literacy, and proficiency in following instructions, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes simple scripting or spreadsheet software is typically required. Effective communication, time management, and the ability to stay focused during repetitive tasks are valuable soft skills in this role. These capabilities ensure high-quality, accurate data labeling, which is critical for training reliable AI models.

What are some common challenges faced by day shift AI data annotation specialists, and how can they be addressed?

Day Shift AI Data Annotation specialists often encounter challenges like maintaining focus and accuracy during repetitive tasks, meeting tight deadlines, and staying consistent with evolving annotation guidelines. To address these, it's helpful to take regular short breaks to reduce fatigue, actively participate in team discussions to clarify guidelines, and use quality assurance tools or peer reviews to ensure data accuracy. Many teams also offer support through continuous training and feedback, which can help annotators improve their skills and efficiency over time.

What is the difference between Day Shift Ai Data Annotation vs Data Labeler?

AspectDay Shift Ai Data AnnotationData Labeler
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; attention to detail
Work EnvironmentOffice or remote; computer-based tasksOffice or remote; computer-based tasks
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Both roles involve data annotation and labeling for AI systems, often in similar environments. The main difference lies in terminology; 'Day Shift Ai Data Annotation' emphasizes working during daytime hours, while 'Data Labeler' is a broader term used across various shifts and companies. Both positions require attention to detail and basic technical skills, making them closely related in the AI industry.

What are popular job titles related to Day Shift Ai Data Annotation jobs in Arizona?

For Day Shift Ai Data Annotation jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Day Shift Ai Data Annotation jobs in Arizona look for?

The top searched job categories for Day Shift Ai Data Annotation jobs in Arizona are:

What cities in Arizona are hiring for Day Shift Ai Data Annotation jobs?

Cities in Arizona with the most Day Shift Ai Data Annotation job openings:

Day Shift Ai Data Annotation jobs near you
Infographic showing various Day Shift Ai Data Annotation job openings in Arizona as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

AI Data Scientist Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$100 - $200/hr

Part-time

Posted 12 days ago

Job description

Job Title: AI Data Science Domain Expert

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

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.