Loss Control 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 10 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 engineering team is comprised of distinguished computer vision engineers, software architects, and data scientists from the self-driving car industry. They bring unparalleled expertise in AI and machine learning to the realm of workplace safety.

• Insurance Acumen: Our insurance team comprises 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 Loss Control Specialist to join our cutting-edge team. This role combines the traditional responsibilities of a loss control specialist with those of an ergonomist, 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 ergonomic 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, Ergonomics, Industrial Engineering, or related field

• 5-10 years total work experience, with at least 3 years in loss control, risk management, or Industrial ergonomics

• 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) or industrial ergonomics (e.g., CIE, CPE) preferred

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

Working at CompScience

Compensation: CompScience is committed to fair and equitable compensation practices. The annual salary range for this role is $80,000 – $120,000. 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