Risk Services Specialist

About CompScience

At CompScience, we're not just building software, we're saving lives. We're a high-growth startup on a mission to prevent 1 million workplace injuries through bold technological innovations, ensuring that everyone can go home safe at the end of the day.

Founded in 2019 and backed by investors from SpaceX, Tesla, and Anduril, we've assembled a powerhouse team that bridges two worlds:

• Cutting-Edge Technology: Our product, design, and engineering teams are composed of distinguished computer vision engineers, software architects, data scientists and product and design leaders from Amazon R&D, Meta, and the self-driving car industry. They bring unparalleled expertise in AI, machine learning, and design to the realm of workplace safety.

• Insurance Acumen: Our insurance team is made up of seasoned professionals who understand the nuances of workers' compensation policies. They work hand-in-hand with our tech experts to translate advanced analytics into tangible insurance products that truly serve our clients' needs.

Our groundbreaking perception-based risk assessment program, the first of its kind, provides the most comprehensive data stream available for risk analysis and monitoring and has proven to significantly reduce accidents in some of the world's most hazardous occupations.

About the Role

We are seeking an innovative and detail-oriented, AI-Enabled, Risk Services Specialist to join our cutting-edge team. This role utilizes the traditional responsibilities of a Risk Services Specialist while leveraging our advanced AI and Computer Vision technologies to revolutionize workplace safety Assessments.

Responsibilities

• Conduct remote audits of client sites using our AI/Computer Vision-based solutions

• Analyze video footage to identify potential safety hazards and risks

• Develop comprehensive risk reports based on AI-driven insights

• Present findings to clients and help drive adoption of mitigation strategies

• Collaborate with our AI and engineering teams to refine and enhance our risk assessment

• algorithms

• Provide ergonomic assessments and recommendations in manufacturing and other industrial

• environments

• Stay current with industry standards, regulations, and best practices in workplace safety and

• ergonomics

Required Experience

• Bachelor's degree in Occupational Safety, Industrial Engineering, or related field

• 5-10 years total work experience, with at least 5 years in Occupational safety, loss control or

• risk management

• Demonstrated proficiency in using technology tools and software commonly used in risk

• management, data analysis, and reporting

• Ability to quickly learn and adapt to new systems and technology applications

• Strong analytical skills with the ability to interpret complex data sets

• Excellent written reporting and verbal communication skills

• Ability to work independently and as part of a cross-functional team
  

Nice-to-have

• Certification in occupational safety (e.g., CSP, ASP, OHST, CHST) and industrial ergonomics

• (e.g., CIE, CPE) preferred

• Familiarity with AI and machine learning concepts, particularly in computer vision

• applications

• Construction industry experience

Working at CompScience

Compensation: CompScience is committed to fair and equitable compensation practices. The annual salary range for this role is $100,000 – $110,000. Compensation is determined within the range based on your qualifications and experience. Our total compensation package also includes equity and comprehensive benefits.

Benefits at CompScience:

• Fast-paced startup environment where your ideas can quickly become reality

• Opportunity to wear multiple hats and grow beyond your job description

• Remote-first culture with home office support

• Comprehensive health benefits (Medical, Dental, Vision, HSA)

• 401(k) plan and life insurance

• Flexible time off and 12 weeks parental leave

• Professional development reimbursement

Our Ideal Teammate:

• Thrives in a fast-paced startup and is comfortable navigating ambiguity

• Excited to wear multiple hats and grow rapidly

• Committed to our mission of saving lives through technology