Top Work from Home Data Labelling Jobs in 2023: Fast-Track Guide to Finding Remote Data Labelling Opportunities

Work from home data labelling jobs have seen a significant rise in popularity in 2023 due to the explosion of artificial intelligence, machine learning, and data-driven technologies. These roles involve annotating, categorizing, or tagging data sets—such as images, videos, audio, or text—that companies use to train AI models. Most opportunities require only a laptop, attention to detail, and a stable internet connection, making them ideal for remote work.

Some of the most reputable platforms offering flexible, remote data labelling positions include:

1. Appen: Known for worldwide AI training and human intelligence data collection, Appen consistently has openings for part-time, project-based, and long-term data labelling jobs.
2. Lionbridge (now TELUS International AI Data Solutions): Offers remote roles for data annotators, content raters, and testers.
3. Scale AI: Specializes in high-quality data labelling for large companies; offers remote tasks in image, video, and text annotation.
4. Clickworker: Focuses on microtasks, including data categorization and text annotation, with flexibility and prompt payments.
5. Remotasks: Provides task-based work focused on image annotation, transcription, and self-driving car data labelling.
6. Amazon Mechanical Turk (MTurk): A marketplace for various remote tasks, including simple data labelling and data entry assignments.

Required Skills & Tools: While coding isn’t necessary, a strong command of English, meticulousness, and reliability are key. Since these jobs are home-based, a comfortable and well-organized workspace supports productivity. As a designer, I always emphasize the importance of environment: creating a dedicated workspace with good lighting, ergonomic furniture, and minimal distractions makes a huge difference in work efficiency and sustained motivation.

For those interested in visually planning their ideal workspace, tools like home designer platforms can help conceptualize a personalized, productive home office setup before bringing it to life—a designer’s secret for balanced remote work!

Tips 1:

To boost productivity while working from home, establish a daily routine, schedule regular breaks, and invest in a professional work environment. Even small design considerations—like natural lighting and clutter-free surfaces—can reduce fatigue and improve concentration.

FAQ

Q: What are data labelling jobs?

A: Data labelling jobs involve tagging, categorizing, or annotating various types of data (like images, audio, or text) to help train AI models and algorithms.

Q: Do I need any special qualifications to start data labelling from home?

A: Most roles require only basic computer literacy, attention to detail, and sometimes proficiency in English. No formal degree is typically necessary.

Q: Which companies are best for beginner remote data labelling?

A: Platforms like Appen, TELUS International AI Data Solutions, Remotasks, and Clickworker are known for offering entry-level positions and fast onboarding.

Q: How much can I earn from work from home data labelling jobs?

A: Pay varies by company and task, but most data labelling roles pay anywhere from $5 to $15 per hour, depending on complexity and speed.

Q: Is data labelling a long-term career?

A: While many view it as part-time or side income, experienced annotators can progress to quality assurance or project manager roles, making it a viable long-term remote career option for some.