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Part Time Ai Contract Jobs (NOW HIRING)

Weekday AI

Risk & Actuarial AI Expert

$100 - $120/hr

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... AI & Analytics Integration: The role requires leveraging modern AI/ML techniques to automate ...

Weekday AI

Physics Research Collaborator (Part-time)

$80 - $110/hr

This role is for one of our clients Compensation: $80 - $110 per hour Join a leading AI research ... Contract Details * Independent contractor engagement. * Fully remote with flexible working hours.

Osmo

Contract Sensory Panelist (Fragrance)

Elizabeth, NJ · On-site

$30/hr

We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the ... This is a specialized, part-time contract role dedicated exclusively to generating high-quality ...

DirectedLINK LLC

AI Instructor

Los Angeles, CA

$50 - $65/hr

... Part-time, approximately 15 hours per week Pay: $50-$65 per hour Type: Contract-to-Hire Overview A ... Teach practical generative AI and creative-production workflows * Lead classroom demonstrations ...

Weekday AI

Legal Expert

$65 - $90/hr

... reliable AI solutions for legal applications. This is a flexible, fully remote, part-time ... Contract & Engagement Details * Independent contractor engagement. * Fully remote with flexible ...

66degrees

M365 Architect, Contract

$64.50 - $85/hr

Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises ... Contract (Part-time, 20 hrs/week) * Duration: 11 Weeks * Target Start Date: August 31, 2026 * Time ...

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Part Time Ai Contract information

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How much do part time ai contract jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for part time ai contract in the United States is $38.10, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $45.19 per hour, depending on experience, location, and employer.

What is the difference between Part Time Ai Contract vs Part Time Data Analyst?

AspectPart Time Ai ContractPart Time Data Analyst
Required CredentialsKnowledge of AI tools, programming, basic data scienceStatistics, data analysis, Excel, SQL
Work EnvironmentProject-based, flexible hours, remote possibleOffice or remote, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsBusiness, finance, healthcare, retail
Search & Comparison IntentUnderstanding AI-specific contract rolesData analysis tasks, reporting, insights

Part Time Ai Contract roles focus on AI-specific tasks, often requiring programming and AI knowledge, with flexible, project-based work. Part Time Data Analyst positions involve analyzing data to generate insights, typically requiring statistical skills. Both roles are part-time but differ in technical focus and work environment.

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What are the most commonly searched types of Part Time Ai jobs?

The most popular types of Part Time Ai jobs are:

What job categories do people searching Part Time Ai Contract jobs look for?

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Part Time Ai Contract jobs near you
Infographic showing various Part Time Ai Contract job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $79,243 per year, or $38.1 per hour.

Risk & Actuarial AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Re-posted 26 days ago

Job description

This role is for one of our clients
Compensation: $100-$120 per hour (20 hours per week commitment)
Job Type: Part-time / Contract
Location: US, UK, Canada, France, Portugal (remote)
We are seeking a highly analytical and forward-thinking Risk & Actuarial AI Expert to join our growing team. This role sits at the intersection of actuarial science, risk management, and advanced analytics, leveraging artificial intelligence to enhance decision-making across insurance and risk portfolios. The ideal candidate will bring a strong foundation in actuarial principles combined with hands-on experience in data science, enabling the transformation of complex risk data into actionable insights.
Requirements
Key Responsibilities:
You will play a central role in evaluating and optimizing portfolio performance through detailed loss ratio and combined ratio analysis. This includes monitoring trends, identifying deviations, and providing recommendations to improve underwriting profitability. A deep understanding of claims behavior, pricing adequacy, and expense structures will be critical to success in this area.
In addition, you will conduct comprehensive portfolio risk assessments, using statistical models and AI-driven techniques to evaluate exposure across various lines of business. This involves identifying risk concentrations, assessing diversification, and supporting strategic decisions related to risk selection and capital allocation. You will collaborate closely with underwriting, finance, and product teams to ensure alignment between risk appetite and business objectives.
A significant part of the role will focus on catastrophe modeling and exposure management. You will work with catastrophe models and geospatial data to assess potential losses from natural disasters and extreme events. Enhancing traditional modeling approaches using machine learning techniques to improve prediction accuracy and scenario analysis will be a key expectation. You will also contribute to stress testing, scenario planning, and regulatory reporting requirements.
AI & Analytics Integration:
The role requires leveraging modern AI/ML techniques to automate actuarial workflows, improve predictive modeling, and uncover hidden patterns in large datasets. You will design and implement models that enhance pricing, reserving, and risk selection processes. Experience with tools such as Python, R, and cloud-based analytics platforms will be valuable.
Qualifications & Skills:
  • Bachelor's or Master's degree in Actuarial Science, Mathematics, Statistics, Data Science, or a related field
  • Progress toward actuarial certification (e.g., IFoA, SOA, or equivalent) preferred
  • 2-8 years of experience in actuarial analysis, risk management, or insurance analytics
  • Strong expertise in loss ratio and combined ratio analysis
  • Proven experience in portfolio risk assessment and risk modeling
  • Hands-on experience with catastrophe modeling tools and exposure management frameworks
  • Proficiency in programming (Python/R) and data visualization tools
  • Familiarity with machine learning techniques and their application in insurance
  • Strong problem-solving skills and ability to communicate complex insights to non-technical stakeholders

What We're Looking For:
We value individuals who combine technical rigor with business intuition. You should be comfortable working in a dynamic environment, handling ambiguity, and driving innovation through data. A proactive mindset, attention to detail, and the ability to translate analytical findings into strategic recommendations will set you apart in this role.

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