Top Tech Jobs & Startup Jobs in Calgary

Build and evaluate MLOps and ML systems tasks for frontier AI training data. Responsibilities include designing technical challenges, writing solutions and evaluation rubrics, profiling and optimizing GPU workloads, debugging distributed systems, improving model performance, and supporting high-throughput LLM inference. The role requires production experience with ML infrastructure, serving systems, GPU accelerators, JAX or PyTorch, and strong technical communication.

Design insurance pricing, reserving, forecasting, and portfolio-risk scenarios for AI model training. Create actuarial analyses and reference answers, evaluate AI outputs for quantitative and methodological accuracy, identify unsupported assumptions and errors, and provide structured feedback. The role requires explaining actuarial methods and business implications to technical and nontechnical audiences while participating in calibration and onboarding sessions.

Design reinsurance and program-business scenarios, assess AI-generated responses, create market-quality reference materials, and provide detailed feedback on treaty structures, delegated authority, fronting, captives, risk transfer, contract logic, financial responsibilities, and market realism.

Annotate Korean PDF pages by identifying, bounding, typing, and ordering document regions; link related components; transcribe Hangul, hanja, and handwriting exactly; capture page metadata; and flag illegible or unsuitable pages. Experienced annotators also review colleagues’ work. The role requires exceptional character-level accuracy, consistent taxonomy application, and comfort with complex layouts such as tables, diagrams, newspapers, exams, and handwritten forms.

Design complex insurance claim and coverage scenarios for AI model training, including disputed coverage, litigation, allocation, bad-faith risk, and major-loss settlement strategy. Produce senior-level claim analyses, authority requests, reserve rationales, and litigation plans; evaluate AI responses against claims standards; identify unsupported or improper positions; and provide written feedback. Participate in onboarding and calibration sessions.

Design and evaluate life insurance and annuity advisory, underwriting, policy-service, suitability, and replacement scenarios for AI training. Create expert reference responses, assess model outputs for product accuracy, mathematical correctness, suitability, tax treatment, and disclosure compliance, and provide feedback to improve model performance. Participate in onboarding and calibration sessions.

Annotate Japanese PDF pages by identifying, bounding, typing, and ordering document regions; link related components; transcribe all text exactly, including handwritten and vertically arranged content; capture metadata; and flag illegible or unsuitable pages. Experienced annotators also review colleagues’ work. Native Japanese fluency and command of kanji, hiragana, katakana, furigana, and variant characters are essential.

Design insurance policy-processing scenarios, create operational reference materials, evaluate AI-generated responses, and provide feedback on policy lifecycle accuracy. The role covers intake, binding, issuance, endorsements, billing, renewals, cancellations, reinstatements, documentation, quality control, and servicing workflows. Candidates need at least two years of policy administration, underwriting operations, insurance servicing, or premium operations experience, along with strong process discipline and knowledge of policy administration systems.

Contribute subject matter expertise to a project for a leading AI laboratory by creating challenging, high-quality domain problems and data to improve large language models. Applicants should have a PhD, advanced degree, or equivalent industry experience in a listed STEM domain, along with strong attention to detail and excellent written and verbal communication skills. The role includes a brief interview, task, and paid onboarding.

Review and assess public sector, legal, and go-to-market documents, providing structured feedback focused on quality, accuracy, relevance, and adherence to guidelines. The role requires strong analytical, written communication, document review, and attention-to-detail skills. It is a fully remote independent contractor position with flexible scheduling and weekly payments, open to applicants in the United States, Europe, the UK, and Canada.