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Remote Technical writing Expert - Data Labelling

Remote / Online - Candidates ideally in
Edmonton, Alberta, Canada
Listing for: Workada
Remote/Work from Home position
Listed on 2026-10-13
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 140000 CAD Yearly CAD 140000.00 YEAR
Job Description & How to Apply Below
Job Summary
Hands-on experience designing, implementing, and operating AI-enabled platforms, including:
Generative AI.

Agentic AI (copilots, autonomous agents, digital assistants).

AI/ML workloads in cloud environments.

Key Experience

8+ years of experience in large, enterprise-scale environments (public or private sector), supporting complex platforms with high reliability and uptime requirements.

Experience establishing greenfield platforms rather than inheriting mature legacy solutions, understanding how to design for sustainability from day one.

AI Operations & Governance

Proven experience operationalizing AI from pilot to production, including:
Defining AI infrastructure architecture and standards.

Implementing governance, privacy, security, and responsible AI controls.

Monitoring performance, accuracy, bias, and risk.

Incident response, root-cause analysis, and mitigation for AI-related issue.

Experience building operational sustainment models, including DR, business continuity, monitoring, alerting, and lifecycle management.

Leadership & Team Formation

Experience leading technical teams, consultants, and vendors ideally including:
Acting as a technical lead or architect stepping into formal people leadership.

Building new teams, defining roles, and shaping workforce plans.

Comfortable managing a hybrid team model (internal staff + external consultants) in early-stage capability build-outs.

Core Competencies
Technical & Architectural Excellence

Deep understanding of AI infrastructure, cloud platforms, automation, and modern Dev Ops/MLOps practices.

Ability to work closely with Enterprise Architecture, Data & Analytics, Cybersecurity, Legal, and Application Development teams.

Strong grasp of operational best practices for mission-critical platforms, including:
High availability.

Performance optimization.

Cost management and Fin Ops.

Secure access and permissioning.

Strategic & Forward-Thinking Mindset

Able to define and evolve a long-term AI operations strategy aligned to enterprise goals.

Thinks beyond tools and experiments focuses on platform, governance, and sustainability.

Designs systems that are "living and breathing," avoiding set-and-forget implementations.

Operational Excellence

Strong focus on stability, reliability, and 24x7 readiness.

Comfortable responding to incidents and outages when required.

Experienced in defining KPIs, dashboards, and metrics to track AI adoption, value realization, and operational health.

Leadership & Change Management

Credible technical leader who can earn trust from engineers, architects, and senior executives.

Able to lead through ambiguity, set direction where none exists, and bring structure to emerging domains.

Demonstrated ability to balance innovation with risk management and operational discipline.

Communication & Stakeholder Influence

Exceptional ability to translate complex AI and technical concepts into clear, plain-language insights.

Confident presenter to senior leadership, capable of securing buy-in for new platforms and governance models.

Strong collaborator who can align diverse stakeholders around shared standards, workflows, and approval processes.

Personal Attributes & Values

Accountable and pragmatic:
Takes ownership, follows through, and delivers results.

Calm under pressure:
Handles high-visibility issues and operational incidents with confidence.

Curious and adaptable:
Continuously learns in a fast-evolving AI landscape.

Collaborative and respectful:
Models WorkSafeBC's values in leadership, communication, and decision-making.

Business-oriented:
Always connects technical decisions to business value, impact, and outcomes.

Education & Credentials

Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, Business Technology, or related discipline.

Master's degree preferred but not required.

Equivalent combination of education and experience considered, especially for candidates with strong hands-on AI platform leadership.

Employment Terms
Remote

Full-time

Salary/Rate Range
Salary/Rate Range:  $ - $

Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.
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