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Hourly Remote Data Labeling Jobs in Arizona (NOW HIRING)

Data Annotation

$50 - $60/hr

Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Hourly Remote Data Labeling information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Labeler, and why are they important?

To thrive as an Hourly Remote Data Labeler, you need strong attention to detail, basic computer literacy, and the ability to follow specific guidelines, often with a high school diploma or equivalent. Familiarity with data annotation tools and platforms such as Labelbox, Prodigy, or internal company systems is typically required. Reliability, time management, and effective written communication are crucial soft skills for meeting deadlines and maintaining quality in a remote setting. These skills and qualities are important to ensure accurate, consistent data labeling that directly impacts the performance of AI and machine learning models.

What is the difference between Hourly Remote Data Labeling vs Data Annotation Specialist?

AspectHourly Remote Data LabelingData Annotation Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with some industry-specific knowledge
Work EnvironmentRemote, flexible hoursRemote, often project-based or ongoing
Industry UsageCommon in AI/ML developmentUsed across tech, healthcare, automotive sectors
Search IntentLooking for remote data labeling jobsSearching for data annotation roles

Both roles involve labeling or annotating data for machine learning models, often remotely. The main difference lies in terminology and specific industry usage, but they share similar credentials and work environments.

What is hourly remote data labeling?

Hourly remote data labeling is a job where individuals work from home to tag, categorize, or annotate data (such as images, videos, text, or audio) for machine learning and artificial intelligence projects. Workers are typically paid by the hour and use online platforms to complete labeling tasks assigned by companies or research organizations. This work is crucial because AI models need large volumes of accurately labeled data to learn and function properly. The job usually requires attention to detail and may involve following specific guidelines to ensure data quality.

What are some common challenges faced by hourly remote data labeling professionals, and how can they be managed?

Hourly remote data labeling professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying self-motivated while working independently. To manage these challenges, it's important to set up a dedicated workspace, take regular breaks to reduce fatigue, and follow established labeling guidelines closely. Frequent communication with team leads and participating in quality feedback sessions can also help ensure your work meets project standards and fosters professional growth.
What are popular job titles related to Hourly Remote Data Labeling jobs in Arizona? For Hourly Remote Data Labeling jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Labeling jobs in Arizona look for? The top searched job categories for Hourly Remote Data Labeling jobs in Arizona are:
What cities in Arizona are hiring for Hourly Remote Data Labeling jobs? Cities in Arizona with the most Hourly Remote Data Labeling job openings:
Hourly Remote Data Labeling jobs near you
Manager - Data Management

Manager - Data Management

Kforce Technology Staffing

Phoenix, AZ • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

RESPONSIBILITIES:
Kforce's client is seeking a Manager - Data Management with in Phoenix, AZ. This is a hybrid position based in Phoenix, AZ, requiring 4 days onsite and 1 day remote per week.
Role Description & Duties:
We are seeking a strategic and hands-on Manager, Data Management to lead enterprise data governance and quality initiatives that drive smarter decision-making, operational efficiency, and long-term business value. This is a high-impact leadership opportunity for someone who can bridge business priorities and technical execution while helping shape the future state of data across the organization.
In this role, you will define and enhance data standards, governance policies, and data management processes across multiple functions. You will partner closely with business leaders and IT teams to identify gaps, improve alignment, and implement scalable solutions that strengthen data quality, consistency, and standardization. A key part of the role is translating data governance concepts into practical workflows, technical processes, and business-friendly frameworks that teams can adopt and follow.
You will also lead data cleanup and standardization efforts, support project planning and execution, define milestones and requirements, and help communicate the value of governed, trusted data across the organization. This role is ideal for someone who can influence stakeholders, challenge the status quo, and build momentum around strong data practices. Experience supporting AI-readiness through clean, governed data is highly valued.
REQUIREMENTS:
* Bachelor's degree in Information Technology, Engineering, Statistics, or a related field
* 5+ years supporting complex IT or enterprise data initiatives
* 3+ years of experience in data management, data governance, data quality, or data analytics
* Prior experience leading a team or managing cross-functional projects
* Strong background in data governance, data management, and enterprise data strategy, along with the leadership skills needed to drive cross-functional initiatives from concept through execution
* Deep understanding of data governance, metadata, master data management, data architecture, data strategy, data modeling, and data standards
* Knowledge of best practices related to enterprise information management, data protection, and governance frameworks
* Experience creating data workflows, process maps, business requirements, technical requirements, and support documentation
* Proven ability to lead internal teams and/or vendors using IT project lifecycle methodologies
* Strong analytical skills, including experience with root cause analysis to identify process and data improvement opportunities
* Experience with data quality tools and related technologies
* Ability to manage multiple large-scale initiatives in a fast-paced environment with tight deadlines
* Strong communication and stakeholder management skills, with the ability to promote adoption and influence across lines of business
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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