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Day Shift Ai Data Annotation Jobs in Phoenix, AZ

Alignerr

Data Security & DLP Analyst

Phoenix, AZ · Remote

$38 - $60/hr

Familiarity with AI training or data annotation workflows Why Join Us * Work directly on frontier AI systems alongside top research labs * Fully remote and flexible set your own hours and workload

TSMC

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130.50K - $177.30K/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 · On-site

$130.50K - $177.30K/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.

Deloitte

AI Data Engineer - Manager

Tempe, AZ

$109.70K - $131.70K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML ...

Deloitte

AI Data Engineer - Manager

Tempe, AZ · On-site

... Manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML ... AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital ...

General Motors

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$103.80K - $142.50K/yr

... data-annotation pipelines and machine-led training data solutions at foundation-model scale . We ... Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview ...

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Day Shift Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a Day Shift AI Data Annotation Specialist, and why are they important?

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 are Day Shift AI Data Annotation jobs?

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 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 Phoenix, AZ? For Day Shift Ai Data Annotation jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Day Shift Ai Data Annotation jobs in Phoenix, AZ look for? The top searched job categories for Day Shift Ai Data Annotation jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Day Shift Ai Data Annotation jobs? Cities near Phoenix, AZ with the most Day Shift Ai Data Annotation job openings:
Day Shift Ai Data Annotation jobs near you
Remote Financial Analyst - Shape AI's Financial Reasoning

Remote Financial Analyst - Shape AI's Financial Reasoning

Data Annotation

Buckeye, AZ • Remote

$50 - $60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Annotation is seeking finance professionals for a remote position related to AI development. In this role, you will review AI Assistant responses, evaluate their performance, and push models with complex scenarios. Applicants should have an expert-level understanding of financial principles and advanced degrees (MBA/PhD preferred).

This position offers flexible hours and pays $50-$60 per hour plus bonuses for high-quality work. #J-18808-Ljbffr

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