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Part Time Advanced Ai Data Trainer Jobs (NOW HIRING)

Lee College

Part-Time Advanced Technical Trainer

Baytown, TX · On-site

$29.50 - $39.50/hr

McNair Center - Baytown, TX Job Type: Part-Time Job Number: FY2300211 Division: Provost/Academic ... The Advanced Technical Training Center offers courses to verify or improve skilled technicians ...

Weekday AI

Physics AI Trainer (PhD)

$70 - $85/hr

... of advanced AI models Async work and communication Work type: Part-time Industry: Internet and Artificial Intelligence You would not be employed full-time and will be paid as an independent ...

Weekday AI

Economics AI Trainer (PhD)

$70 - $90/hr

... of advanced AI models Async work and communication Work type: Part-time Industry: Internet and Artificial Intelligence You would not be employed full-time and will be paid as an independent ...

Weekday AI

Maths (Masters or PhD) AI trainer

$110 - $130/hr

... development of advanced AI models Async work and communication with 2-3 calls with clients for calibration Work type: Part-time Industry: Internet and Artificial Intelligence You would not be ...

Weekday AI

Chemistry Expert (PhD) - AI Trainer

$65 - $85/hr

... research lab to enhance advanced AI systems by integrating deep expertise from the field of ... Commitment: Part-time (~20 hours/week), with potential to extend to 40 hours/week * Schedule: Fully ...

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Part Time Advanced Ai Data Trainer information

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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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What cities are hiring for Part Time Advanced Ai Data Trainer jobs? Cities with the most Part Time Advanced Ai Data Trainer job openings:
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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 May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Remote | AI Data Quality Review Expert -- $60-$80/hour

24-MAG

New York, NY • Remote

$60 - $80/hr

Part-time, Contractor

Posted 12 days ago

Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in AI data evaluation, structured review, annotation, quality control, rubric-based assessment, and high-accuracy human data workflows.

This role supports current and upcoming remote consulting opportunities focused on AI output review, structured data annotation, quality assessment, guideline-based evaluation, feedback documentation, and high-accuracy project execution. Selected professionals will apply strong attention to detail and structured reasoning to review AI outputs, identify subtle issues, follow complex guidelines, and support reliable data quality workflows.

Key Responsibilities

Professionals in this role may contribute to:

AI Output Review & Annotation

  • Review, evaluate, and annotate AI-generated outputs according to detailed project guidelines
  • Apply structured criteria consistently across repetitive and high-volume review tasks
  • Identify subtle errors, inconsistencies, edge cases, ambiguity, and quality issues
  • Support accurate human data workflows used to train and evaluate advanced AI systems

Guideline-Based Evaluation & Quality Control

  • Follow complex instructions carefully and apply nuanced rules with consistency
  • Review outputs for accuracy, completeness, clarity, reasoning quality, and alignment with task requirements
  • Flag unclear instructions, ambiguous cases, and recurring quality patterns
  • Maintain high accuracy across detail-heavy evaluation and labelling workflows

Structured Feedback & Review Documentation

  • Provide clear, concise, and structured feedback to improve downstream data quality
  • Document review decisions, issue patterns, and quality observations according to project standards
  • Support calibration workflows by applying rubrics and quality bars consistently
  • Maintain reliability, focus, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • Prior experience in AI data annotation, human data review, AI output evaluation, QA, structured review, rating, or rubric-based assessment
  • Strong attention to detail and ability to catch small inconsistencies, edge cases, and subtle quality issues
  • Ability to follow nuanced instructions precisely and apply them consistently
  • Strong written communication and reasoning skills
  • High reliability and comfort working independently on repetitive precision-based tasks
  • Quality-focused mindset and ability to maintain accuracy across long task batches

Educational Background

  • A degree or professional background in communications, writing, business, humanities, social sciences, computer science, data analysis, education, quality assurance, or a related field is helpful
  • Equivalent practical experience in annotation, review, QA, trust and safety, data evaluation, operations support, editing, or structured assessment work is also highly relevant

Nice to Have

  • Experience with large-scale AI data annotation, model evaluation, human feedback workflows, or data quality programs
  • Background in QA, structured review, trust and safety, content evaluation, editing, data labelling, or human data pipelines
  • Familiarity with multi-step rubric-based evaluation, calibrated feedback, guideline interpretation, or quality-control workflows
  • Experience documenting edge cases, recurring issues, quality patterns, or review decisions
  • Strong comfort working in detail-heavy, guideline-based, and accuracy-focused project environments

Why This Opportunity

  • Apply strong review judgment and attention to detail to structured remote project work
  • Contribute to high-quality AI data evaluation, annotation, and quality-control workflows
  • Work on flexible assignments aligned with your review, QA, or data evaluation background
  • Use your precision and reasoning skills in a focused, quality-first review environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time commitment depending on project availability
  • Competitive rates between $60–$80 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.