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$37.5K

$122.7K

$196.5K

How much do per diem remote data annotation jobs pay per year?

As of May 30, 2026, the average yearly pay for per diem remote data annotation in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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 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.

More about Per Diem Remote Data Annotation jobs
What cities are hiring for Per Diem Remote Data Annotation jobs? Cities with the most Per Diem Remote Data Annotation job openings:
What are the most commonly searched types of Remote Data Annotation jobs? The most popular types of Remote Data Annotation jobs are:
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Per Diem Remote Data Annotation jobs near you
Infographic showing various Per Diem Remote Data Annotation job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, 1% Contract, and 1% Nights. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Finance AI Trainer - Remote, Flexible Hours

Finance AI Trainer - Remote, Flexible Hours

Data Annotation

Old Forge, PA • Remote

$50 - $60/hr

Full-time, Part-time

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

Job description

Data Annotation is seeking experienced finance professionals to assist in training AI models. The role offers flexibility with part-time or full-time opportunities. Responsibilities include reviewing AI outputs, leveraging financial expertise, and providing structured feedback.

Preferred candidates will have a Master's or Doctorate in finance and fluency in English. Compensation starts at $50-$60 per hour, with additional bonuses for high-quality work. #J-18808-Ljbffr

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