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Remote Data Annotation Jobs in Tempe, AZ (NOW HIRING)

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How much do remote data annotation jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote data annotation in Tempe, AZ is $32.75, according to ZipRecruiter salary data. Most workers in this role earn between $16.77 and $42.51 per hour, depending on experience, location, and employer.

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.
More about Remote Data Annotation jobs
What are the most commonly searched types of Data Annotation jobs in Tempe, AZ? The most popular types of Data Annotation jobs in Tempe, AZ are:
What are popular job titles related to Remote Data Annotation jobs in Tempe, AZ? For Remote Data Annotation jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation jobs in Tempe, AZ look for? The top searched job categories for Remote Data Annotation jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Remote Data Annotation jobs? Cities near Tempe, AZ with the most Remote Data Annotation job openings:
Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Tempe, AZ as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 40% Hybrid, and 60% Remote job distribution, with an average salary of $68,118 per year, or $32.7 per hour.
Remote Senior Financial Analyst - AI Trainer ($50-$60 per hour)

Remote Senior Financial Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Avondale, AZ • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

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

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the nextgeneration of AI while enjoying the flexibility of remote work and the freedom to set your ownschedule. This role is designed to fit a variety of lifestyles — whether you're looking tocontribute part-time alongside a current position, pursue it full-time, or engage periodically as aflexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be amore useful tool for finance professionals. We're seeking experienced finance professionalswith advanced degrees (MBA+) and professional experience to use their expertise to help shapehow AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

Inthis role, you might: Review and improve AI Assistant answers to questions about macro trends, corporatefinance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of anAI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where theirreasoning holds up – and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or PhD (completed or in progress) is stronglypreferred. Relevant backgrounds include Financial Accounting, Investment Banking, CorporateDevelopment, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityand high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal.

We will never ask for any money from you. PayPal will handleany currency conversions from USD. This is an independent contract position.

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