Insurance Underwriter

namename·Remote(Australia)
Content & Writing

WFA Digital Insight

As the insurance industry increasingly adopts AI, the demand for skilled underwriters with digital expertise has grown significantly. With a projected 25% increase in remote job postings in 2026, this role presents a unique opportunity for professionals to leverage their analytical skills and experience in underwriting, claims management, or actuarial science. Mercor, a company at the forefront of insurance innovation, is now seeking an Insurance Underwriter to join their team, offering a chance to work on cutting-edge projects and collaborate with research teams. Before applying, candidates should be aware that strong analytical thinking, clear communication, and attention to detail are essential for success in this role.

Job Description

About the Role

The Insurance Underwriter role at Mercor is a pivotal position that involves reviewing and evaluating AI-generated outputs related to insurance workflows. As an Insurance Underwriter, you will be responsible for annotating and validating data, providing structured feedback on AI accuracy, and collaborating with research teams to ensure the development of precise and reliable insurance models. This role is critical in enabling Mercor to make informed decisions regarding policy coverage, risk assessment, and claims management.

The day-to-day responsibilities of this role will include working closely with cross-functional teams, including data scientists, software engineers, and actuaries, to ensure that AI-generated outputs align with industry standards and regulatory requirements. You will also be required to stay up-to-date with the latest developments in AI, machine learning, and data analytics, and apply this knowledge to improve the accuracy and efficiency of insurance workflows.

Mercor is committed to fostering a culture of innovation, collaboration, and continuous learning. As an Insurance Underwriter, you will have the opportunity to work on challenging projects, develop your skills, and contribute to the growth and success of the company.

What You Will Do

  • Review and evaluate AI-generated outputs related to insurance workflows
  • Annotate and validate data to ensure accuracy and consistency
  • Provide structured feedback on AI accuracy and recommend improvements
  • Collaborate with research teams to develop and refine insurance models
  • Work closely with cross-functional teams, including data scientists, software engineers, and actuaries
  • Stay up-to-date with the latest developments in AI, machine learning, and data analytics
  • Apply knowledge to improve the accuracy and efficiency of insurance workflows
  • Develop and maintain documentation of AI-generated outputs and annotation guidelines
  • Participate in training and testing of AI models to ensure accuracy and reliability
  • Collaborate with stakeholders to identify and prioritize business needs and requirements

What We Are Looking For

  • 3+ years of professional experience in an insurance carrier, brokerage, reinsurer, or regulatory body
  • Background in underwriting, claims management, actuarial science, insurance sales, compliance, or risk management
  • Strong analytical thinking and ability to translate insurance workflows into structured evaluation tasks
  • Clear written communication and attention to detail
  • Experience with data annotation, validation, and feedback mechanisms
  • Knowledge of AI, machine learning, and data analytics concepts and techniques
  • Familiarity with insurance industry standards and regulatory requirements
  • Strong collaboration and teamwork skills
  • Ability to work in a fast-paced environment and adapt to changing priorities

Nice to Have

  • Experience with AI and machine learning technologies
  • Knowledge of programming languages, such as Python or R
  • Familiarity with data visualization tools and techniques
  • Experience with cloud-based platforms and technologies

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge projects and collaborate with research teams
  • Professional development and training opportunities
  • Flexible working hours and remote work options
  • Access to the latest technologies and tools
  • Collaborative and dynamic work environment
  • Recognition and reward for outstanding performance
  • Comprehensive health and wellness program
  • Generous paid time off and leave policy

How to Stand Out

  • Develop a strong understanding of AI and machine learning concepts and techniques to stand out as a candidate.
  • Highlight your experience with data annotation, validation, and feedback mechanisms in your application.
  • Be prepared to provide examples of your analytical thinking and problem-solving skills during the interview process.
  • Familiarize yourself with insurance industry standards and regulatory requirements to demonstrate your knowledge and expertise.
  • Consider developing a personal project or contributing to open-source projects to demonstrate your skills and passion for AI and machine learning.
  • Prepare to discuss your experience with collaboration and teamwork, as well as your ability to work in a fast-paced environment and adapt to changing priorities.
  • Research the company culture and values to understand the work environment and expectations.

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