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Weekend Ai Data Annotation Jobs in Arizona (NOW HIRING)

... AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers ... weekends, or non-standard hours as needed Legal authorization to work in the U.S. without ...

Data Engineer

Scottsdale, AZ · On-site

$60 - $70/hr

Need to embrace AI and have not just dabbled in it. there already instilled in the workflow ... Ability to work off-hours with occasional evenings, weekends, and/or holidays. Position ...

Stay current on data science, machine learning, AI, and analytics methods that may benefit the ... or weekends due to project or department needs. Corporate Summary: At Shamrock Foods Company ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Showing results 41-60

Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

How much do you get paid for AI data annotation?

The pay for AI data annotation jobs varies depending on the employer, project complexity, and experience level, but typically ranges from $10 to $20 per hour or $0.02 to $0.10 per task. Many roles are paid on a per-task basis, and some may offer bonuses for accuracy or speed. Compensation can also depend on whether the work is freelance or employed by a company.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.
What are the most commonly searched types of Ai Data Annotation jobs in Arizona? The most popular types of Ai Data Annotation jobs in Arizona are:
What are popular job titles related to Weekend Ai Data Annotation jobs in Arizona? For Weekend Ai Data Annotation jobs in Arizona, the most frequently searched job titles are:
What cities in Arizona are hiring for Weekend Ai Data Annotation jobs? Cities in Arizona with the most Weekend Ai Data Annotation job openings:

Data Center Technician

Introl

Litchfield Park, AZ • On-site

$30 - $36/hr

Part-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago


Job description

About Introl

Introl stands apart as a leader in GPU infrastructure deployments, specializing in large-scale GPU cluster deployments having deployed 100,000+ of the most advanced GPUs available. When failure is not an option, Introl delivers.

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime.

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in hyperscale data centers and advanced AI research facilities. We’re looking for exceptional talent who thrive in high-pressure, high-reward environments.

Position Overview

Introl is seeking experienced Data Center Technicians to join our team as hourly, project-based W-2 employees supporting GPU infrastructure deployment projects across the U.S. This role is ideal for individuals who enjoy hands-on technical work in fast-paced environments and are looking to contribute to high-impact, mission-critical deployments.

As a W-2 hourly employee, you will work under the direction of Introl project leadership and collaborate closely with cross-functional teams to execute data center builds, upgrades, and migrations. Assignments are project-based and may vary in duration, location, and scope depending on business needs.

This is an hourly position with compensation based on experience, project complexity, and location, with opportunities for continued project assignments based on performance and business demand.

Key Responsibilities

GPU Infrastructure & Hardware Management

Deploy, configure, and maintain large-scale GPU clusters and high-performance computing systems

Install, troubleshoot, and repair GPU servers, networking equipment, and associated hardware

Perform hardware diagnostics and coordinate large-scale fiber optic connectivity

Execute precise hardware migrations and rack installations

Data Center Operations

Monitor and maintain data center infrastructure including power, cooling, and environmental systems

Perform routine maintenance on servers, storage systems, and networking equipment

Execute data center migrations ranging from single racks to full facility relocations

Support optimal performance and availability of deployed systems

Technical Support & Troubleshooting

Diagnose and resolve complex hardware and network connectivity issues

Perform system upgrades, patches, and configuration changes

Document all work performed in accordance with company and industry standards

Quality Assurance & Safety

Adhere to applicable laws, rules, and regulations (e.g., OSHA, NEC)

Conduct quality control checks on all installations and deployments

Maintain clean room standards and proper electrostatic discharge procedures

Required Qualifications

Technical Skills

2+ years of experience in data center operations or hardware deployment

Strong knowledge of server hardware, networking equipment, and data center infrastructure

Experience with GPU systems, high-performance computing, or AI infrastructure preferred

Proficiency with fiber optic installations and network cabling

Understanding of power distribution, cooling systems, and environmental monitoring

Core Competencies

Ability to work in fast-paced, high-pressure environments

Strong problem-solving skills and attention to detail

Excellent communication and documentation abilities

Physical ability to lift up to 50 lbs. and work in confined spaces

Availability during nights, weekends, or non-standard hours as needed

Legal authorization to work in the U.S. without sponsorship

Certifications (Preferred)

CompTIA Server+ or equivalent hardware certification

Data center or network infrastructure certifications

Fiber optic installation certification

Vendor-specific certifications (NVIDIA, AMD, Intel)

Employment Structure & Expectations

This is a W-2 hourly, project-based position

Employees are scheduled and assigned to specific projects based on business needs

Work hours may vary depending on project timelines and operational requirements

Overtime may be required and will be compensated in accordance with applicable laws

Employees are expected to follow all company policies, safety standards, and reporting structures

Tools, equipment, and materials will be provided as required for project execution

Compensation & Benefits

Hourly rate commensurate with experience and project scope

Overtime eligibility in accordance with federal and state law

Access to Introl employee benefits (where applicable based on eligibility), which may include:

Medical, dental, and vision coverage

401(k) plan

Paid sick time in accordance with state/local requirements

Opportunities for continued project assignments and career growth within Introl