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Part Time Remote Data Labelling Jobs in Toronto, ON

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Remote Executive Assistant (Part-Time)

Hamilton, ON · Remote

CA$19 - CA$25/hr

... data • Ability to work independently in a remote environment • Reliable computer, internet ... part-time position • Flexible scheduling • Growth opportunities available • Supportive ...

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Part Time Remote Data Labelling information

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Labelling specialist, and why are they important?

To excel as a Part Time Remote Data Labelling specialist, you need strong attention to detail, basic computer literacy, and a solid understanding of data privacy and handling protocols, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, spreadsheet software, and sometimes specific data labelling tools like Labelbox or Supervisely is typically required. Reliability, time management, and clear communication are crucial soft skills for meeting deadlines and collaborating in a remote setting. These skills and qualities ensure that labelled data is accurate, consistent, and valuable for training effective machine learning models.

What are some common challenges faced by part-time remote data labelling professionals, and how can they be managed?

Part-time remote data labellers often face challenges such as maintaining consistent accuracy, staying focused during repetitive tasks, and managing communication with a distributed team. To address these, it’s helpful to establish a quiet, distraction-free workspace, use productivity techniques like the Pomodoro method, and regularly review labelling guidelines to minimize errors. Leveraging communication tools and participating in team check-ins can also help clarify questions and build a sense of connection with colleagues.

What is a part time remote data labelling job?

A part time remote data labelling job involves annotating or tagging data—such as images, text, or audio—from your own location, typically using specialized software provided by employers. The role is essential for training machine learning models, as accurate labels help computers learn to recognize patterns. These jobs are often flexible, allowing you to set your own hours and work from anywhere with an internet connection. No advanced technical skills are usually required, but attention to detail is important.

What is the difference between Part Time Remote Data Labelling vs Part Time Remote Data Annotation?

AspectPart Time Remote Data LabellingPart Time Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusLabeling data for training AI modelsAnnotating data for AI training

Part Time Remote Data Labelling and Part Time Remote Data Annotation are similar roles involving preparing data for AI systems. Labelling typically involves categorizing data, while annotation may include adding detailed notes or markings. Both roles require attention to detail and are performed remotely, making them suitable for flexible schedules. The main difference lies in the specific tasks, but they are often used interchangeably depending on the employer or project.

What are popular job titles related to Part Time Remote Data Labelling jobs in Toronto, ON? For Part Time Remote Data Labelling jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Labelling jobs in Toronto, ON look for? The top searched job categories for Part Time Remote Data Labelling jobs in Toronto, ON are:
Part Time Remote Data Labelling jobs near you

Full-Stack Engineer (Contract - Part-Time) (Remote)

mello

Toronto, ON • Remote

$100K - $150K/yr

Part-time

Posted yesterday

Job description

About Us

mello is a Y Combinator (S21) backed start-up that integrates wellbeing into every employees' workflow in order to unlock their full potential. We are paving the path for the future of work. Our vision is to help every remote team on the planet to work healthier, more sustainably, and learn how to stay mello instead of burning out.

As second time founders, we burnt out building our last company during the pandemic. We wanted a simple, easy-to-use solution that integrates right into our workflow to increase our wellbeing but couldn't find anything on the market so we decided to build the solution we would've liked to use ourselves (aka, eating your own dog food).

At mello, we're building the new standard that remote and hybrid companies use to track, measure and act on burnout to inspire happier, healthier, more motivated teams. mello suggests smart actions for both employees, managers as well as HR to take to increase wellbeing, productivity and retention.

About this Role

As a modern Full-Stack Engineer, you are well versed in all aspects of development from a transistor to a website, including the browser, OS, CPU, RAM, architecture and everything. Here in mello we are much, mello-er, in requirements:

  • You will be responsible for both front end UI elements and experiences, as well as integrating, and maintaining / modifying backend services as required. The split is expected to be 63.5 / 37.5[1]
  • You will ensure the app can scale from 1000 to a million users
  • You will contribute and define our engineering values, process, and deployment cacadence, with scalability and security in mind.

Technical Skills you have:

  • IAM / OAuth (e.g. AWS Cognito, Okta)
  • Frontend frameworks i.e. React.js (Hooks preferred), Vue.js
  • In-depth CSS knowledge i.e. SCSS, Sass
  • 3rd party integrations experience with OAuth, SDK (i.e. AWS SDK), and API backend (BFF)
  • Develop, improve, and fix custom API backend as required
  • SPA Cloud deployment i.e. AWS S3 / Amplify, Netlify, Firebase a plus
  • Experience with Database ORB a plus

What you'll be doing

  • Experience with modern Front end frameworks e.g. React.js (Hooks), Vue.js and Gatsby. Familiarity with analytics is a plus.
  • Experience with OAuth flows and implementation / integration with 3rd party service
  • Experience with Front end deployment services e.g. AWS Amplify, Netlify, firebase
  • Experience with different data fetching / caching strategy and design tradeoffs, principles, and practices to help guide the team's technical direction
  • Experience with Test Driven Development and proficiency with a testing framework e.g. Jest
  • Experience with API integration as well as development. No stranger when comes to resolving CORS related nonsense
  • Experience with Database is a plus.
  • A strong desire to build secure software and protect user information.

Who you are

  • You are excited about our mission: unlocking human potential via wellbeing and the Future of Work
  • You are excited about joining a early-stage growth start-up
  • You have a growth-mindset
  • You don't mind learning a bit of everything outside engineering
  • You deeply care about UX/Design and won't compromise on quality
  • You ask yes, and? and are extremely collaborative
  • You're curious about how our UX Designers/Researchers conduct their work and how your work flows into theirs
  • You're proactive, a problem solver and go-getter
  • You're collaborative and are a team player
  • You're curious and self-motivated
  • You knows how to take and give direction
  • You can adapt to change quickly

Job Type: Contract (Part-Time)

Number of Hours: Up to 30hrs/week

Pay (USD): $100k - $150k

Education:

  • Bachelor's in Computer Science (Preferred)

Experience:

  • Full Stack Development: 2 years (Required)
  • DevOps: 1 years (Preferred)