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Ai Tasker Jobs in Alberta (NOW HIRING)

AI Trainer - Remote

Edmonton, AB ยท Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

AI Trainer - Remote

Calgary, AB ยท Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

AI Technical Trainer - Remote

Calgary, AB ยท Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

AI Software Engineer - Remote

Calgary, AB ยท Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

New

Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech stack such ...

No prior AI experience is required. Key Responsibilities * Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development ...

New

No prior AI experience is required. Key Responsibilities * Create reinforcement learning environments for software engineering tasks. * Design tasks involving bug fixing, feature development ...

New

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Showing results 1-20

Ai Tasker information

What is an AI Tasker?

An AI Tasker is responsible for training, testing, and refining artificial intelligence models by completing various tasks such as labeling data, reviewing AI-generated content, and providing feedback on model outputs. This role helps improve AI systems by ensuring accuracy and relevance in their responses. AI Taskers often work remotely and require attention to detail, critical thinking skills, and familiarity with AI tools.

What does an AI Tasker do?

As an AI Tasker, your day often involves reviewing and managing a variety of AI-assisted assignments such as data categorization, process automation, or QA testing on digital platforms. You may coordinate with team members to clarify project requirements, set priorities, and troubleshoot technical issues that arise during task execution. Regular collaboration with both AI engineers and project managers helps ensure deliverables meet quality standards and deadlines. The workload can be dynamic, requiring flexibility and proactive communication to handle shifting project demands efficiently.

What are the key skills and qualifications needed to thrive as an AI Tasker?

To thrive as an AI Tasker, you need a strong understanding of artificial intelligence concepts, data analysis, and problem-solving abilities, often supported by a background in computer science or a related field. Familiarity with AI platforms, automation tools, and workflow management systems is typically required, along with knowledge of APIs and task management software. Strong communication, attention to detail, and adaptability help AI Taskers excel when collaborating and managing diverse, technology-driven assignments. These capabilities are critical for ensuring accurate execution of AI-powered tasks and effective integration with business processes.

What is the easiest AI Tasker job to get?

The easiest AI Tasker jobs typically involve simple data labeling, annotation, or basic content moderation tasks that require minimal technical skills. These roles often have low entry barriers, do not require advanced certifications, and can be performed remotely with basic computer literacy and attention to detail.

What job categories do people searching Ai Tasker jobs in Alberta look for?

The top searched job categories for Ai Tasker jobs in Alberta are:

Infographic showing various Ai Tasker job openings in Alberta as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Trainer - Remote

Edmonton, AB โ€ข Remote

$80 - $120/hr

Full-time

Posted yesterday

New


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.