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Weekend Ai Data Annotation Jobs in Arizona (NOW HIRING)

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.

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 ... Champion AI-assisted engineering Use and advocate for modern AI-powered development workflows (code ...

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Weekend Ai Data Annotation information

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

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 some 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.

What are Weekend AI Data Annotators?

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.
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Weekend Ai Data Annotation jobs near you
Remote Finance AI Quality Analyst & Modeling Expert

Remote Finance AI Quality Analyst & Modeling Expert

Data Annotation

Flagstaff, AZ • Remote

$50 - $60/hr

Full-time, Part-time

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

Job description

Data Annotation is looking for finance professionals to join their remote team. This role focuses on enhancing AI understanding in finance, allowing you to set your own schedule and work part-time or full-time. You'll evaluate AI responses, ensuring accuracy in financial reasoning.

Candidates with an MBA or PhD are preferred. Hourly rates start at $50-$60 with potential bonuses for high-quality work. Enjoy a flexible work environment while contributing to AI advancements in finance.

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