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$13

$31

$63

How much do part time advanced ai data trainer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for part time advanced ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Part Time Advanced Ai Data Trainer vs Part Time Ai Data Annotator?

AspectPart Time Advanced Ai Data TrainerPart Time Ai Data Annotator
CredentialsBasic technical skills, training in AI conceptsMinimal credentials, focus on labeling skills
Work EnvironmentRemote or on-site, collaborative training sessionsPrimarily remote, individual task-focused
Employer & IndustryTech companies, AI startups, research labsTech firms, data labeling companies, AI developers

The Part Time Advanced Ai Data Trainer typically requires some technical knowledge and involves training AI models through data preparation and feedback. In contrast, the Part Time Ai Data Annotator mainly focuses on labeling data accurately with minimal technical requirements. Both roles are essential in AI development but differ in complexity and responsibilities.

What are the main responsibilities and common challenges faced by a Part Time Advanced AI Data Trainer?

As a Part Time Advanced AI Data Trainer, you’ll primarily focus on annotating and curating complex datasets, reviewing AI-generated outputs, and providing feedback to improve machine learning models. One common challenge is ensuring high accuracy and consistency in data labeling, which often requires meticulous attention to detail and critical thinking. You may also collaborate with other trainers or engineers to clarify ambiguous tasks and regularly communicate about project updates. The work is typically remote and flexible, but meeting project deadlines and adapting to evolving guidelines are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Part Time Advanced AI Data Trainer, and why are they important?

To excel as a Part Time Advanced AI Data Trainer, you need a strong background in data analysis, machine learning concepts, and subject matter expertise relevant to AI, often supported by a degree in computer science or a related field. Familiarity with annotation tools, data labeling platforms, and collaboration systems such as Slack or Jira is typically expected. Attention to detail, critical thinking, and effective communication are crucial soft skills for ensuring high-quality data and clear feedback. These skills and qualifications are vital because they directly impact the accuracy of training data, which in turn influences the performance of AI systems.

What is a Part Time Advanced AI Data Trainer?

A Part Time Advanced AI Data Trainer is a professional who works on a flexible or reduced schedule to help train artificial intelligence (AI) systems by providing advanced data annotation, labeling, and feedback. Their work typically involves reviewing and correcting AI-generated content, identifying errors, and ensuring data quality in complex tasks such as natural language processing or image recognition. This role often requires strong analytical skills, attention to detail, and a good understanding of AI concepts. Part-time trainers may work remotely and can come from diverse backgrounds, often collaborating with machine learning engineers and researchers to improve AI models.
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Part Time Advanced Ai Data Trainer jobs near you
Infographic showing various Part Time Advanced Ai Data Trainer job openings in the United States as of June 2026, with employment types broken down into 61% Full Time, 31% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Early Career AI / Data Innovation Associate ( (Students & Recent Graduates))

Early Career AI / Data Innovation Associate ( (Students & Recent Graduates))

Inficare Technologies

Remote

$60K - $60K/yr

Part-time

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

Job description

Early Career AI / Data Innovation Associate (Part-Time, Remote - U.S.)
We are seeking early-career talent interested in gaining hands-on experience in AI, data analytics, and technology innovation. This opportunity is designed for students and recent graduates who want to apply their academic knowledge to real-world business initiatives.
This role is part of a structured early-career program that provides practical exposure to modern analytics tools, AI workflows, and cross-functional collaboration. Participants will work on real projects and present their outcomes in a final capstone presentation.
Location
Remote (United States)
Work Schedule
Part-time contract
8-20 hours per week
Compensation
Hourly rate based on experience
Work Authorization
Applicants must be legally authorized to work in the United States without employer sponsorship. Visa sponsorship is not available for this role.
Travel Requirement
One-time travel may be required for the final capstone presentation in Redmond, Washington (Seattle area). Travel expenses will be covered.
Program Overview
Participants will contribute to projects related to AI, analytics, and business innovation. The program provides an opportunity to work with experienced professionals while building practical skills in data analysis, technology research, and solution prototyping.
Key Responsibilities
Participants may work on projects involving:
  • Analyzing datasets to identify trends and insights
  • Supporting AI-driven workflows and automation initiatives
  • Building dashboards or reports using tools such as Excel or Power BI
  • Assisting with prototyping AI or data-driven solutions
  • Researching emerging technologies and innovation opportunities
  • Collaborating with cross-functional teams on project goals
  • Preparing presentations and insights for stakeholders
  • Participating in a final capstone presentation

Education Requirements
Candidates must be currently enrolled in or recently graduated from an IT or Computer Science related program.
Accepted fields of study include:
  • Computer Science
  • Information Technology
  • Software Engineering
  • Computer Engineering
  • Information Systems
  • Data Science
  • Artificial Intelligence / Machine Learning

Eligible candidates include:
  • Undergraduate students (Junior or Senior year)
  • Recent graduates within the past 12 months
  • Entry-level professionals with up to 2 years of experience

Preferred Skills
Candidates should have exposure to some of the following through coursework, projects, or internships:
  • Python, SQL, or other programming languages
  • Data analysis or visualization tools
  • Artificial Intelligence or Machine Learning concepts
  • Cloud platforms (experience with Microsoft Azure is a plus)
  • Microsoft ecosystem tools such as Teams, SharePoint, or Power BI
  • Basic understanding of automation or AI workflows

Core Competencies
Successful candidates will demonstrate:
  • Strong analytical and problem-solving skills
  • Clear communication and presentation abilities
  • Ability to work independently and manage tasks effectively
  • Curiosity and interest in emerging technologies
  • Attention to detail and accountability for deliverables

Ideal Candidate Profile
This program is ideal for individuals who want to:
  • Gain hands-on experience in AI and data-driven projects
  • Apply academic knowledge to real-world business challenges
  • Build practical skills in analytics and technology solutions
  • Work in a collaborative and innovation-focused environment
  • Develop experience presenting insights to stakeholders

Application Instructions
Interested candidates should submit a resume including:
  • Degree program and expected graduation date
  • Relevant coursework or projects related to AI, analytics, or software development
  • Any internships or technical experience
  • Qualified candidates will be contacted for further evaluation.

Apply