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Per Diem Ai Data Annotation Jobs (NOW HIRING)

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Showing results 21-40

Per Diem Ai Data Annotation information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 22, 2026, the average yearly pay for per diem ai 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 is a per diem AI data annotation?

A Per Diem AI Data Annotation job involves labeling, tagging, or categorizing data—such as images, text, or audio—on a flexible, as-needed basis to help train artificial intelligence and machine learning models. 'Per diem' means the position is paid by the day or for specific tasks, rather than being a full-time or salaried role. These jobs are vital for ensuring AI systems learn from accurate, well-labeled datasets. The work is often remote and may vary in workload based on project needs. Attention to detail and consistency are important qualities for success in this role.

What are the key skills and qualifications needed to thrive as a per diem AI data annotation specialist?

To thrive as a Per Diem AI Data Annotation Specialist, you need strong attention to detail, good analytical skills, and familiarity with data labeling concepts, often supported by a high school diploma or higher education in a related field. Familiarity with annotation platforms, data management systems, and sometimes basic programming or scripting tools is beneficial. Reliability, time management, and clear communication are key soft skills for meeting project deadlines and collaborating with remote teams. These skills ensure the accuracy and consistency of labeled data, which is critical for training high-performing AI models.

What are some common challenges faced by per diem AI data annotation professionals, and how can they be addressed?

Per Diem AI Data Annotation professionals often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and adapting to evolving project guidelines. It is important to carefully review annotation instructions and ask clarifying questions when uncertainties arise. Staying organized and regularly communicating with team leads or project managers can help address ambiguities and ensure high-quality, accurate annotations. Additionally, leveraging available training resources and collaborating with peers can aid in staying up-to-date with best practices.

What is the difference between Per Diem Ai Data Annotation vs Data Labeler?

AspectPer Diem Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI training, often on a per-project basisLabeling data to improve AI models, often on a per-task basis

Both roles involve data annotation and are used in AI and machine learning industries. Per Diem Ai Data Annotation typically refers to short-term, project-based work with flexible schedules, while Data Labelers may work on similar tasks but often with a broader scope or different employment arrangements. Both require attention to detail and basic technical skills, making them closely related roles in the data annotation field.

More about Per Diem Ai Data Annotation jobs

What cities are hiring for Per Diem Ai Data Annotation jobs?

Cities with the most Per Diem Ai Data Annotation job openings:

What are the most commonly searched types of Ai Data Annotation jobs?

The most popular types of Ai Data Annotation jobs are:

What states have the most Per Diem Ai Data Annotation jobs?

States with the most job openings for Per Diem Ai Data Annotation jobs include:

Infographic showing various Per Diem Ai Data Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Austin, TX • Remote

$100 - $200/hr

Part-time

Posted 11 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.