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Remote Ai Data Collection Jobs in Toronto, ON (NOW HIRING)

AI Data Generalist -- Egocentric Video Review Type: Contract Compensation: $20-$25/hour Location: Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ...

AI Data Generalist -- Egocentric Video Review Type: Contract Compensation: $20-$25/hour Location: Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science ... Evaluate AI-generated or human-created work against established criteria to ensure quality and ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science ... Evaluate AI-generated or human-created work against established criteria to ensure quality and ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

New

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

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Remote Ai Data Collection information

What is remote AI data collection?

Remote AI data collection refers to the process of gathering and labeling data—such as images, audio, text, or video—from various sources using digital tools, often from a remote location. This data is used to train and improve artificial intelligence and machine learning models. People working in this field can perform tasks like annotating images, transcribing audio, or categorizing text, all from their home or another remote setting. The work is essential for creating accurate AI systems and often offers flexible hours. It usually requires basic computer skills and attention to detail.

What skills and qualifications are needed for a remote AI data collection specialist?

To thrive as a Remote AI Data Collection Specialist, you need attention to detail, data management skills, and a basic understanding of machine learning concepts, often supported by a degree in computer science or related fields. Familiarity with data annotation tools, spreadsheets, and platforms like Labelbox or Amazon SageMaker is commonly required. Strong communication, time management, and problem-solving skills are important for collaborating remotely and meeting project deadlines. These abilities ensure accurate, efficient data gathering and annotation, which are critical for the quality and reliability of AI model development.

What are common challenges in a remote AI data collection role, and how can they be managed?

A common challenge in Remote AI Data Collection roles is ensuring data quality and consistency, especially when working independently without direct supervision. It is important to follow detailed guidelines precisely and communicate proactively with project managers or team leads whenever uncertainties arise. Time management and maintaining motivation can also be challenging when working remotely, so setting a structured schedule and leveraging collaboration tools can help. Regular check-ins with the team and staying updated with project requirements are key to overcoming these challenges and delivering reliable results.

What is the difference between Remote Ai Data Collection vs Remote Data Annotator?

AspectRemote Ai Data CollectionRemote Data Annotator
Required CredentialsBasic computer skills, training in data collection toolsAttention to detail, familiarity with annotation software
Work EnvironmentRemote, flexible hours, often on mobile or desktopRemote, flexible hours, often on desktop or specialized platforms
Industry UsageAI training data gathering across various sectorsLabeling and annotating data for machine learning models
Common Search IntentJobs involving data collection for AIJobs focused on data labeling and annotation

Remote Ai Data Collection involves gathering raw data for AI training, often requiring basic technical skills. Remote Data Annotator focuses on labeling and annotating data to improve machine learning models. Both roles are remote, but they differ in tasks and skill requirements, serving different stages of AI data preparation.

What are the most commonly searched types of Ai Data Collection jobs in Toronto, ON?

The most popular types of Ai Data Collection jobs in Toronto, ON are:

What are popular job titles related to Remote Ai Data Collection jobs in Toronto, ON?

For Remote Ai Data Collection jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Collection jobs in Toronto, ON look for?

The top searched job categories for Remote Ai Data Collection jobs in Toronto, ON are:

Video Data Reviewer - Egocentric

Mercor

Toronto, ON • Remote

CA$20 - CA$25/hr

Full-time

Posted 10 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Data Generalist — Egocentric Video Review
Type: Contract
Compensation: $20–$25/hour
Location: Remote
Duration: Approximately 2 weeks

Role Responsibilities

  • Review egocentric video data and complete structured quality-review tasks.
  • Evaluate action segments within videos for accurate start and end boundaries.
  • Adjust or flag incorrect boundaries according to guidelines.
  • Maintain consistent judgment across a high volume of short action segments.
  • Complete assigned videos within the project timeline.

Qualifications

Must-Have

  • Excellent attention to detail and visual comprehension.
  • Ability to distinguish closely related actions and moments in video.
  • Comfortable with structured, repetitive review work while maintaining accuracy.
  • Quick learning and consistent application of detailed annotation guidelines.
  • Strong written English communication skills.

Preferred

  • Experience with video annotation, data labeling, computer vision datasets, or egocentric video.

Start Date

  • Monday morning 17th August (PST)

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.