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Part Time Ai Training Jobs in Alberta (NOW HIRING)

Paid training to set you up for success. * Flexible part-time hours, perfect for work-life balance ... AI Disclosure We use AI-assisted tools to help screen resumes for key skills and minimum ...

Paid training to set you up for success. * Flexible part-time hours, perfect for work-life balance ... AI Disclosure We use AI-assisted tools to help screen resumes for key skills and minimum ...

Paid training to set you up for success. * Flexible part-time hours, perfect for work-life balance ... AI Disclosure We use AI-assisted tools to help screen resumes for key skills and minimum ...

Paid training to set you up for success. * Flexible part-time hours, perfect for work-life balance ... AI Disclosure We use AI-assisted tools to help screen resumes for key skills and minimum ...

... training other cashiers and consultants on Point-Of-Sale (POS) and MPOS. Store Presentation ... AI) technologies in our recruitment process to assist in the initial screening and evaluation of ...

... training other cashiers and consultants on Point-Of-Sale (POS) and MPOS. Store Presentation ... AI) technologies in our recruitment process to assist in the initial screening and evaluation of ...

... training other cashiers and consultants on Point-Of-Sale (POS) and MPOS. Store Presentation ... AI) technologies in our recruitment process to assist in the initial screening and evaluation of ...

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Part Time Ai Training information

What is a part time AI training?

A Part Time AI Training job typically involves helping to train artificial intelligence models by performing tasks such as labeling data, reviewing AI outputs, or providing feedback on machine learning results. These positions are usually flexible and can be done remotely, making them ideal for students or individuals seeking extra income. No deep technical expertise is usually required, but attention to detail and basic computer skills are important. Common tasks may include categorizing images, transcribing audio, or correcting language generated by AI systems.

What are the key skills and qualifications needed to thrive as a part time AI training specialist?

To excel as a Part Time AI Training Specialist, you need strong analytical skills, attention to detail, and a good command of language and data interpretation, often supported by a bachelor’s degree or equivalent experience. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is typically required. Excellent communication, reliability, and adaptability help you follow guidelines accurately and provide valuable feedback. These skills ensure that AI systems are trained with high-quality, diverse, and accurate data, directly impacting their performance and reliability.

What are some common challenges faced by part time AI training professionals, and how can they be addressed?

Part-time AI training professionals often encounter challenges such as adapting to varying project requirements, managing time effectively between multiple tasks, and staying updated with evolving AI technologies. Since these roles frequently involve remote collaboration, clear communication and proactive feedback are essential to ensure alignment with project goals. To address these challenges, it's helpful to establish a structured work schedule, actively participate in team discussions, and take advantage of training resources offered by employers to stay current in the field.

What is the difference between Part Time Ai Training vs Data Labeler?

AspectPart Time Ai TrainingData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, flexible hoursRemote or on-site, flexible hours
Employer & Industry UsageTech companies, AI development firmsTech companies, AI and machine learning firms
Common Search & Comparison IntentUnderstanding roles in AI trainingUnderstanding data labeling tasks

Part Time Ai Training involves assisting in the development of AI models by providing training data, often requiring understanding of AI processes. Data Labeler focuses specifically on annotating data for machine learning, with similar skills but more task-specific. Both roles are essential in AI development, often overlapping in skills and work environment, but differ in scope and responsibilities.

Are there any legit part time AI training jobs?

Part time AI training jobs are available and typically involve tasks like data labeling, annotation, or model evaluation. These roles often require attention to detail, basic technical skills, and sometimes specific tools or platforms, and they can be found through reputable job boards or companies offering remote work opportunities.

Can you train AI with no experience?

Part Time AI Training roles often do not require prior experience, as training may involve tasks like data labeling or reviewing outputs, which can be learned on the job. Basic computer skills and attention to detail are typically sufficient to start, and training programs often provide necessary instruction. Developing skills in data annotation tools and understanding AI concepts can improve performance and opportunities for advancement.

What are popular job titles related to Part Time Ai Training jobs in Alberta?

For Part Time Ai Training jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Part Time Ai Training jobs in Alberta look for?

The top searched job categories for Part Time Ai Training jobs in Alberta are:

What cities in Alberta are hiring for Part Time Ai Training jobs?

Cities in Alberta with the most Part Time Ai Training job openings:

Infographic showing various Part Time Ai Training job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Software Application Developer, Generative AI (Gen AI)

Calgary, AB • Hybrid

BMO Capital Markets
1 - 5K employees

Full-time, Part-time

Medical, Life, Retirement

Re-posted 13 days ago


Job description

Application Deadline:

08/27/2026

Address:

401 9th Avenue SW, Suite 1930

Job Family Group:

Technology

As a Gen AI Software Application Developer at BMO, you will focus on building and integrating Generative AI capabilities into enterprise applications. Working with technology and business partners, you will design intelligent solutions using large language models, AI services, and modern cloud platforms, while contributing to the full software development lifecycle. This role blends hands on software engineering with practical application of AI, enabling you to build scalable systems that enhance automation, decision making, and user experience.

Key Responsibilities
  • Design and develop Generative AI powered features using LLM based services and retrieval patterns
  • Build AI enabled applications that support automation, summarization, and intelligent workflows
  • Integrate AI capabilities into existing systems using APIs, microservices, and cloud-based services
  • Use AI assisted development tools such as GitHub Copilot or similar to accelerate coding, testing, and documentation
  • Validate AI generated outputs for accuracy, security, and maintainability before production use
  • Deliver software solutions across design, development, testing, deployment, and support
  • Build and maintain applications using Java, Spring Boot, Oracle, SQL, etc. in a microservices architecture
  • Develop integrations using APIs, messaging systems, and data exchange formats
  • Write and optimize SQL queries supporting application and AI data workflows
  • Troubleshoot and resolve issues across development and production environments
Required AI and Cloud Capabilities
  • Hands on experience using AI assisted engineering tools such as GitHub Copilot or similar
  • Working knowledge of Generative AI concepts including prompt engineering, LLM integration, and retrieval-based approaches
  • Exposure to building or integrating AI powered application features
  • Understanding of responsible AI practices including data privacy and secure usage
Qualifications and Experience
  • 3 to 6 years of experience in software development or AI enabled application development
  • Hands-on experience to AWS cloud services including compute and AI capabilities
  • Experience working with Java, Spring Boot, Oracle, SQL, and microservices architectures
  • Familiarity with integrating APIs and messaging systems
  • Experience working with relational databases and SQL
Technical Skills
  • Programming: Java, Spring Boot, & Python exposure preferred
  • Architecture: Microservices and cloud native design
  • Integration: APIs, messaging, JSON, XML
  • Databases: Oracle SQL or equivalent
  • Cloud: AWS including Lambda, EKS, S3, and AI services
  • AI Engineering: LLM integration, RAG pipelines, vector databases, orchestration patterns
  • Tooling: GitHub Copilot or similar AI assisted engineering tools
Work Model
  • Hybrid - 2-3 days per week in office

Salary:

$61,600.00 - $113,900.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.