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Remote Software engineer Jobs in Lacombe, AB

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Last updated: 1 hour ago

Remote Venture Capital Associate – AI Model Training - AI Trainer

SuperAnnotateLacombe, Alberta, CA
Remote
Full-time

If you’re a venture capital professional who thrives on market insight, analytical rigor, investment judgment, and clear communication, this is a unique opportunity to contribute directly to how ad...Show more

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Remote Swift Engineer - AI Trainer

SuperAnnotateLacombe, Alberta, CA
Remote
Full-time

As a remote, hourly paid Swift Engineer, you will review AI-generated responses and generate high-quality Swift and iOS-focused content, evaluating the reasoning quality and step-by-step problem-so...Show more

Electrical Designer

AirswiftLacombe County, Alberta, Canada
Full-time

Airswift is seeking an Electrical Designer to work with one of our major clients in the oil & gas industry in Joffre.This is a 1-year contract.The Site Engineering Team is responsible for Engineeri...Show more

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Remote Venture Capital Associate – AI Model Training - AI Trainer

Remote Venture Capital Associate – AI Model Training - AI Trainer

SuperAnnotateLacombe, Alberta, CA
1 hour ago
Job type
  • Full-time
  • Remote
Job description

If you’re a venture capital professional who thrives on market insight, analytical rigor, investment judgment, and clear communication, this is a unique opportunity to contribute directly to how advanced AI systems reason about private markets, startups, and investment decision-making. We’re looking for Venture Capital Associates who can evaluate these concepts with precision. You’ll challenge and evaluate advanced language models on venture capital topics to strengthen model reasoning.

Key Responsibilities :

  • Evaluate AI-generated responses for technical accuracy, investment logic, market realism, and clarity in venture capital and startup finance contexts.
  • Challenge advanced language models with realistic venture capital scenarios involving diligence, valuation, market sizing, business model analysis, and fund-level decision-making.
  • Review and refine AI-generated prompts, responses, explanations, investment memos, diligence questions, and financial reasoning.
  • Provide structured feedback that identifies reasoning gaps, unsupported assumptions, calculation errors, terminology misuse, and weak investment judgment.
  • Shape AI communication standards for how models should explain venture capital concepts to founders, investors, analysts, and business audiences.
  • Support benchmarking efforts by creating or reviewing high-quality evaluation tasks that test model performance on VC-specific analytical workflows.
  • Assess whether AI outputs appropriately distinguish between early-stage, growth-stage, and late-stage investment considerations.
  • Ensure AI-generated content reflects professional standards for concise, evidence-based, and well-structured investment analysis.

Your Profile :

  • 4+ years of experience in venture capital, growth equity, startup investing, corporate venture capital, investment banking, private equity, or closely related startup finance roles.
  • Significant hands-on work with startup diligence, investment memo writing, market mapping, financial analysis, cap table review, or portfolio company analysis.
  • Deep knowledge of venture capital deal evaluation, private company valuation, startup business models, fundraising dynamics, term sheets, and investor decision-making.
  • Strong understanding of SaaS, marketplace, fintech, AI, consumer, healthcare, enterprise software, or other venture-backed business models and their core operating metrics.
  • Proven experience evaluating founders, markets, competitive positioning, unit economics, growth strategy, and investment risk.
  • Demonstrated experience in producing clear written analysis for investment committees, partners, founders, board observers, or portfolio stakeholders.
  • Bachelor’s degree in finance, economics, business, engineering, data science, or a related field required; MBA, CFA, or equivalent advanced training preferred.
  • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.