Review, validate, and improve AI-generated outputs
Identify systemic errors, edge cases, and opportunities to improve model performance
Must be able to review and document with strong quality focus and application of clinical experience to extract key information for medical summaries and compare data with source documents to detect clinical or technical errors
Provide structured feedback to QA and Machine Learning teams on model behavior, error patterns, and data quality issues to directly influence training and iteration cycles
Identify recurring data issues or annotation inefficiencies and propose workflow or tooling improvements
Meet or exceed defined productivity and quality benchmarks in a high-throughput, AI-assisted production environment
Other duties and projects as assigned

Background in health sciences, clinical documentation, or medical data is valued; however, demonstrated interest in technology, AI-enabled workflows, or data-driven systems is essential
Comfort working with AI-generated outputs and a mindset oriented toward leveraging automation to improve speed, consistency, and scale
This position is ideal for candidates with health sciences or clinical background seeking to evolve their careers in a more technical direction.
This role serves as an entry point for career growth into more technical roles, including Quality, AI Operations, or Machine Learning teams, for individuals who demonstrate strong performance, technical aptitude, and curiosity.
High comfort working in web-based tools, annotation platforms, and productivity software
Strong keyboard proficiency and ability to work efficiently in high-volume digital environments
Ability to learn new tools quickly and adapt to evolving AI-driven workflows
Basic understanding of how machine learning systems are trained and improved (training provided)
Experience with data labeling, QA workflows, or structured data review is a plus
Exceptional grammar, communication and writing skills.
High level of accuracy, attention to detail and ability to exercise flexibility and comfort making judgment calls related to AI outputs
Ability to balance speed and accuracy in a production environment
Ability to work independently as well as collaboratively in a team-oriented environment

Flexible hybrid environment with the option to collaborate in-person at our Toronto HQ.
Modern employee benefits, including health and dental coverage
Competitive compensation, with valuable stock options
Access to a learning and professional development fund
Company events
Generous Paid Time Off
Paid Sick Days
Casual Dress code
Employee Referral Bonus
Tuition Assistance
Plus, many other Recognition Programs!

New Grad Medical Data Annotator

Key skills