Top Tech Jobs & Startup Jobs in Toronto

Drive new business and enterprise sales for printing and CCM solutions by prospecting, building relationships with print providers and large enterprises, qualifying needs, presenting tailored solutions, managing pipeline via CRM, attending international trade shows, and meeting/exceeding sales targets.

Drive new business in printing and CCM sectors by prospecting, networking, and closing enterprise accounts. Manage pipeline in Zoho CRM, propose customized CCM solutions, attend trade shows, and transition signed clients to delivery teams while meeting sales targets.

Build and maintain software engineering infrastructure for AI development and evaluation workflows. Develop rubrics, review and label preference data, create scalable pipelines, document findings, navigate complex codebases, and improve evaluation quality and consistency. Collaborate with researchers and engineers in an ambiguous, fast-paced environment while applying strong judgment, debugging, communication, and system-design skills.

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.