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Weekday Ai Manager Jobs (NOW HIRING)

US, UK, Canada, France, Portugal (remote) We are seeking a highly motivated and detail-oriented Insurance Claims Management AI Expert to join our growing team. This role sits at the intersection of ...

This role is for one of the Weekday's clients Salary range: Rs 10000000 - Rs 20000000 (ie INR 100 ... Comfortable managing deal cycles exceeding $75k and navigating multi-stakeholder purchasing ...

This role is for one of the Weekday's clients Salary range: Rs 10000000 - Rs 20000000 (ie INR 100 ... Comfortable managing deal cycles exceeding $75k and navigating multi-stakeholder purchasing ...

Legal AI Specialist

$90 - $120/hr

In this role, you will apply your legal expertise to review AI-generated outputs, design high ... Fully remote with flexible, self-managed schedule * Project duration may vary based on performance ...

Ability to work independently and manage complex tasks Engagement Details * Ongoing role starting ... Short AI-based interview and application form (approximately 20-40 minutes total) Compensation ...

... AI lab focused on foundational models. In this role, you will apply your expertise in financial ... Fully remote with flexible, self-managed schedule Compensation * Hourly rate: $100-$130 per hour

We are seeking Litigation-focused Legal AI Specialists to contribute their expertise in civil ... Familiarity with legal case management systems Role Highlights * Minimum commitment of 20 hours per ...

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

This role is for one of the Weekday's clients Salary range: $180k - $250k Experience: 6+ YoE We are ... AI research, product management, and UX design to deliver impactful features. * Continuous ...

You will actively manage and optimize the month-end and year-end close processes, leveraging AI-driven tools and automation techniques to reduce cycle time and improve accuracy. This includes ...

This role is for one of the Weekday's clients Salary range: Rs 10000000 - Rs 17000000 (ie INR 100 ... Manage the entire sales process - from prospecting and generating pipeline to handling proposals ...

Apply AI and data-driven techniques to automate, optimize, and improve the accuracy of financial ... Excellent communication and stakeholder management abilities. Preferred Qualifications:

The ideal candidate will bring strong expertise in ledger management, reconciliation practices, and financial data structures, while leveraging AI-driven tools to streamline workflows and enhance ...

This role sits at the intersection of actuarial science, risk management, and advanced analytics ... AI & Analytics Integration: The role requires leveraging modern AI/ML techniques to automate ...

Leader/Manager - Flink

$19 - $21/hr

This role is for one of the Weekday's clients Min Experience: 8 years Location: United States JobType: full-time We are seeking to hire an Engineering Manager or Principal Engineer to play a key role ...

... leading AI research lab focused on foundational models. In this role, you will apply your ... Fully remote with flexible, self-managed schedule Compensation * Starting rate: $130 per hour

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Weekday Ai Manager information

What is the difference between Weekday Ai Manager vs Data Analyst?

AspectWeekday Ai ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with AI toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentTech companies, AI-focused teams, collaborative projectsBusiness departments, reporting teams, data-driven decision-making
Employer & Industry UsagePrimarily in AI and tech industries, startups, and enterprisesAcross various industries including finance, marketing, healthcare

Weekday Ai Managers focus on overseeing AI projects, managing AI teams, and implementing AI solutions, while Data Analysts interpret data to support business decisions. Both roles require analytical skills, but the AI Manager emphasizes AI strategy and team leadership, whereas Data Analysts concentrate on data interpretation and reporting.

More about Weekday Ai Manager jobs
What cities are hiring for Weekday Ai Manager jobs? Cities with the most Weekday Ai Manager job openings:
What states have the most Weekday Ai Manager jobs? States with the most job openings for Weekday Ai Manager jobs include:
Infographic showing various Weekday Ai Manager job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 46% Part Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 66% Physical, and 34% Remote job distribution.

Insurance Claims Management AI Expert

Weekday AI

Remote

$100 - $120/hr

Part-time

Posted 11 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 motivated and detail-oriented Insurance Claims Management AI Expert to join our growing team. This role sits at the intersection of insurance operations, data science, and artificial intelligence, with a strong focus on optimizing the end-to-end claims lifecycle. The ideal candidate will bring a blend of domain expertise in insurance claims and hands-on experience in deploying AI-driven solutions to enhance efficiency, accuracy, and customer experience.
Requirements
Key Responsibilities:
You will play a critical role in transforming traditional claims processes using AI and advanced analytics. Your primary responsibilities will include designing, implementing, and optimizing intelligent systems across claims intake, investigation, and adjudication workflows. You will work closely with cross-functional teams including underwriting, fraud detection, legal, and IT to ensure seamless integration of AI models into operational environments.
In claims intake, you will develop and refine AI models for automated data extraction, classification, and triaging of claims from multiple sources such as documents, images, and customer submissions. Improving turnaround time and minimizing manual intervention will be a key objective.
For claims investigation, you will leverage machine learning and predictive analytics to identify anomalies, detect potential fraud, and support decision-making. You will contribute to building intelligent workflows that prioritize high-risk claims and assist adjusters with actionable insights.
In adjudication, you will help design AI-assisted decision engines that recommend claim outcomes based on policy coverage, historical data, and risk profiles, ensuring consistency and compliance with regulatory standards.
Core Functional Expertise:
  • Reserve Setting and Loss Estimation:
    Develop predictive models for accurate reserve setting and loss estimation using historical claims data, actuarial inputs, and real-time indicators. Continuously refine models to improve forecasting accuracy and reduce financial leakage.
  • Subrogation and Recovery:
    Design intelligent systems to identify subrogation opportunities early in the claims lifecycle. Implement AI tools to track recovery potential, automate documentation, and improve recovery rates through data-driven insights.

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Actuarial Science, Insurance, or a related field
  • 2-8 years of experience in insurance claims management, analytics, or AI/ML roles
  • Strong understanding of claims lifecycle processes, including intake, investigation, adjudication, and recovery
  • Hands-on experience with machine learning frameworks (e.g., Python, TensorFlow, PyTorch) and data analysis tools
  • Familiarity with NLP, computer vision, or document processing tools for claims automation
  • Experience working with large datasets and building predictive models

Preferred Skills:
  • Knowledge of insurance regulations and compliance requirements
  • Experience with claims management systems and workflow automation tools
  • Strong problem-solving skills and ability to translate business needs into technical solutions
  • Excellent communication skills to collaborate with both technical and non-technical stakeholders