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Per Diem Remote Data Annotation Jobs in Arizona (NOW HIRING)

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Per Diem Remote Data Annotation information

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

To thrive as a Per Diem Remote Data Annotation Specialist, you need strong attention to detail, proficiency in data analysis, and often a background in relevant fields such as computer science, linguistics, or related areas. Familiarity with data labeling platforms, annotation software, and sometimes specific machine learning tools or guidelines is typically required. Excellent time management, clear communication, and the ability to work independently are valuable soft skills in this role. These skills help ensure accurate data labeling, which is crucial for training high-quality AI models and maintaining project efficiency.

What are Per Diem Remote Data Annotation jobs?

Per Diem Remote Data Annotation jobs involve labeling, tagging, or categorizing data such as images, text, or audio on a flexible, as-needed (per diem) basis from a remote location. Workers in these roles help train machine learning models by providing accurate and consistent annotations. This type of job is ideal for individuals seeking flexible schedules, as work assignments are typically offered based on demand and availability. Per diem annotators are often paid per task or per hour, and the work can be done from home with a computer and internet connection.

What is the difference between Per Diem Remote Data Annotation vs Per Diem Remote Data Labeling?

AspectPer Diem Remote Data AnnotationPer Diem Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageTech, AI, machine learningTech, AI, machine learning
Job FocusAdding annotations to data (e.g., bounding boxes, segmentation)Assigning labels to data (e.g., categories, tags)

Both roles involve working remotely with similar credentials, but data annotation focuses on adding detailed markings to data, while data labeling involves categorizing data. Understanding these differences helps job seekers find the right position aligned with their skills and career goals.

Is it hard to get hired for data annotation?

Getting hired for a per diem remote data annotation role typically requires basic computer skills, attention to detail, and sometimes prior experience with data labeling tools. The application process often involves completing a skills test or sample annotation task, but overall, these positions tend to have lower entry barriers compared to other tech roles.

How much do remote data annotation operators make?

Remote data annotation operators typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based pay or bonuses, and familiarity with annotation tools can improve earning potential.

How can I make 2000 a week working from home?

Per diem remote data annotation jobs typically pay per task or project, and earning $2000 weekly requires completing a high volume of accurate annotations consistently. Success depends on efficiency, experience, and the availability of tasks, often requiring strong attention to detail and familiarity with annotation tools. While some workers achieve higher earnings, reaching $2000 per week may be challenging without full-time commitment or multiple income streams.

How to make $1000 a week remotely?

Per Diem Remote Data Annotation jobs typically pay per task or hourly, with earnings varying based on workload and speed. To reach $1000 weekly, you need to complete a high volume of accurate annotations, often requiring strong attention to detail and familiarity with annotation tools. Consistent, efficient work and possibly working multiple platforms can help achieve this income level.

What are the typical challenges faced by Per Diem Remote Data Annotation professionals, and how can they be addressed?

Per Diem Remote Data Annotation professionals often encounter challenges such as maintaining consistent annotation quality, managing fluctuating workloads, and staying up-to-date with changing annotation guidelines. Since the role is remote and per diem, clear communication with project managers and proactive time management are essential. Utilizing provided training materials, participating in quality assurance feedback sessions, and connecting with other annotators through team channels can help overcome these challenges and ensure high-quality, accurate work.
What are the most commonly searched types of Remote Data Annotation jobs in Arizona? The most popular types of Remote Data Annotation jobs in Arizona are:
What cities in Arizona are hiring for Per Diem Remote Data Annotation jobs? Cities in Arizona with the most Per Diem Remote Data Annotation job openings:
Per Diem Remote Data Annotation jobs near you
Infographic showing various Per Diem Remote Data Annotation job openings in Arizona as of June 2026, with employment types broken down into 7% As Needed, 79% Full Time, 7% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Remote Data Analyst / HR

Jobsultant Solutions

Tucson, AZ • Remote

Contractor

Re-posted 14 days ago

Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background

Equal Opportunities

Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable

PLEASE NOTE: Optimere is unable to sponsor visas at this time. You must be a US Citizen or Permanent Resident authorized to work in the US.

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