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Data Annotation Tech Remote Jobs in Alberta (NOW HIRING)

Olsen Consulting

Senior Data Analyst

Calgary, AB · On-site +1

We are committed to driving impactful changes through data analytics and technology, harnessing our ... high-performance - Remote work flexibility, allowing you to optimize your work-life balance ...

Fullscript

Lead Data Scientist

Calgary, AB · On-site +1

About Fullscript We're an industry-leading health technology company on a mission to help people ... Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred ...

Miratech

Senior Data Engineer

Calgary, AB · On-site +1

We are a global IT services and consulting company that brings together enterprise and start-up ... ForeverRemote work culture : make the most of the flexibility that comes with remote work. * Growth ...

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are popular job titles related to Data Annotation Tech Remote jobs in Alberta? For Data Annotation Tech Remote jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Alberta look for? The top searched job categories for Data Annotation Tech Remote jobs in Alberta are:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Alberta as of June 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% Remote job distribution.
Deputy Director of Technology (Remote, Contract)

Deputy Director of Technology (Remote, Contract)

INFUSE

Edmonton, AB • Remote

Full-time

PTO

Posted 22 days ago

Job description

OUR HIRING PROCESS:

  • We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
  • We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
  • At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
  • From there on, it's decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
    INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy

Demand Excellence Delivered.

We are INFUSE, a global B2B demand and revenue marketing performance company.

At the heart of INFUSE is a demand engine powered by data: first-party buying groups, deep intent signals, and exclusive competitor and market intelligence insights. This AI-driven demand engine ensures precision targeting across in-market buyer and account profiles to drive qualified interest. Omnichannel outreach and INFUSE-exclusive marketing programs identify and engage prospective buying groups throughout their journey.

INFUSE demand generation tools and professionals are available in over 75 countries across all time zones. We proudly work with industry-leading brands such as VMware, ServiceNow, Google, AWS, Microsoft, Palo Alto Networks, and many others.

We are looking for someone, who would lead INFUSE's technology function, scaling a high-performing engineering organization while delivering secure, AI-native products on a modern stack.

Responsibilities
  • Own the technology strategy and execution roadmap across backend and frontend, ensuring delivery predictability, quality, and performance.
  • Lead and develop engineering leaders and teams (hiring, onboarding, goal setting, performance management, coaching, and career ladders).
  • Drive architecture and engineering standards for our stack: Node.js (latest LTS), NestJS, pnpm, esbuild on the backend; React, Vue 3, Vite, pnpm on the frontend (with strong typing practices and modern engineering standards).
  • Build an AI-native engineering culture: identify and deliver high-impact AI use cases, set patterns for safe AI adoption, and define developer workflows for rapid iteration with appropriate governance.
  • Own edge and security posture with Cloudflare (WAF, DDoS, CDN, access controls as applicable), and ensure resilience, observability, and incident readiness.
  • Raise security and compliance maturity: threat modeling, secure SDLC, dependency management, access control, secrets management, vulnerability remediation SLAs, and audit readiness.
  • Establish modern engineering operations: delivery metrics, technical debt management, CI/CD expectations, release management, and post-incident reviews.
Requirements
  • Proven experience in a senior technology leadership role, owning outcomes across multiple teams.
  • Distributed systems / event-driven architecture / Kafka / microservices + contract & version governance.
  • Strong hands-on background with modern backend development, including Node.js in production environments; NestJS experience strongly preferred.
  • Experience leading frontend engineering in a modern framework.
  • Solid understanding of modern build and tooling practices (e.g., pnpm, esbuild, Vite ecosystem), performance tuning, and developer experience.
  • Demonstrated ability to deliver AI-native products and/or platforms, including practical experience with LLM-enabled workflows and safe adoption patterns.
  • Working knowledge of Cloudflare services and edge/security concepts (WAF, CDN, DDoS protection, access controls) and ability to incorporate them into a secure architecture.
  • Strong security mindset and experience improving security maturity (secure SDLC, risk management, incident response, and stakeholder communication).
  • Excellent communication: ability to present clearly to executives, align cross-functional teams, and make pragmatic decisions under ambiguity.
  • Ability to work EST business hours and collaborate effectively with distributed teams.
  • Familiarity with Claude Code or comparable AI-assisted engineering workflows.
What we offer:
  • Fully remote work format.
  • Opportunity to shape the backbone systems of a modern, data-driven digital company.
  • A collaborative, innovation-first environment that values initiative and experimentation.
  • Paid time off and sick leave.
  • Reduced working hours on Fridays during the summer.
  • Days-off on US national holidays + your birthday.
If you're excited to lead an engineering organization building secure, AI-native products and scaling delivery excellence, apply now. We can't wait to meet you!