Remotasks
By Scale
Remotasks is a crowdsourced task platform for AI training data, primarily used by individuals seeking flexible remote work opportunities.
Publisher review
Remotasks is a crowdsourced task platform for AI training data, primarily used by individuals seeking flexible remote work opportunities. It caters to a global workforce, with over 240,000 taskers across 90+ countries, particularly concentrated in Kenya, the Philippines, and Venezuela. Workers complete microtasks like image annotation, audio transcription, and data categorization, which feed into machine learning pipelines. The platform is owned by Scale AI, a major player in the data labeling industry, and generated approximately $870M in revenue in 2024 with a $1.5B annual run rate. Taskers can start with basic assignments and progress to higher-paying complex tasks through training modules.
The platform operates on a tiered task system where earnings scale with difficulty, starting at $5-25/hour for entry-level work. Payments are processed weekly via PayPal or AirTM, with $15M paid out collectively to workers to date. New users undergo training courses to learn annotation standards and quality control measures. Projects range from simple bounding box tasks to intricate semantic segmentation for autonomous vehicle datasets. Workers report peak earnings during high-volume labeling sprints for clients like Meta and OpenAI, though project availability fluctuates.
Remotasks competes directly with Amazon Mechanical Turk and Appen in the crowdsourced labeling space, differentiating through its training pathways and Scale AI's enterprise client base. Unlike pure marketplace models, it offers structured onboarding and skill progression. However, it trails specialized platforms like Labelbox in annotation tool sophistication and lacks the audit trails required for medical or financial data projects. The platform's scale makes it a go-to for bulk labeling needs, but individual workers cite inconsistency compared to niche competitors like Surge AI.
Key trade-offs include accessibility versus earnings potential. While the low barrier to entry attracts global workers, base pay rates fall below US minimum wage standards. Quality expectations vary by project, with some workers reporting abrupt removals without explanation. The platform provides flexibility but lacks benefits or long-term contracts common in traditional data annotation roles. Support responsiveness declines during peak periods, leaving taskers to troubleshoot technical issues independently. These constraints make it better suited for supplemental income than full-time employment in developed markets.
How it works
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Global tasker community
240,000+ workers across 90 countries, with major hubs in Kenya, Philippines, and Venezuela
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Task variety
Includes image annotation (bounding boxes, segmentation), audio transcription, and data categorization
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Progressive earnings
Pay scales from $5-25/hour based on task complexity and worker skill tier
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Weekly payouts
Processed via PayPal or AirTM every 7 days based on completed task volume
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Training system
Courses teach annotation standards, with certification for advanced project eligibility
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Flexible scheduling
No minimum hours, though peak project periods offer highest earnings potential
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Enterprise client access
Tasks often originate from Scale AI's contracts with tech firms like Meta and OpenAI
Strengths and trade-offs
Strengths
- Offers structured skill progression with training courses that unlock higher-paying complex tasks.
- Processes $15M in weekly payments reliably through PayPal/AirTM, with 240,000 active global workers.
- Provides flexibility with no minimum hours, appealing to students and part-time workers.
- Backed by Scale AI's enterprise contracts, ensuring steady project volume for qualified taskers.
Trade-offs
- Base pay starts at $5/hour, below living wages in developed markets despite skill requirements.
- Workers report abrupt project removals without quality feedback or appeal mechanisms.
- Annotation tools lack version control and collaboration features found in competitors like Labelbox.
- Support response times slow during peak periods, leaving taskers to resolve technical issues alone.
Pricing context
Worker earnings scale from $5-25/hour based on task complexity; no fees to join
Getting started with Remotasks
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Sign up
Create an account on the Remotasks website using your email address. Provide basic personal information to verify your eligibility for remote work opportunities.
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Complete training
Finish mandatory onboarding courses covering annotation standards and quality control. Pass certification tests to unlock higher-tier tasks with increased pay rates.
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Select projects
Browse available tasks in your qualified categories. Choose assignments matching your skills and time availability, noting complexity levels and payment rates.
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Submit work
Complete selected tasks using the platform's web-based tools. Follow client specifications precisely and meet quality benchmarks to ensure task approval.
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Withdraw earnings
Set up PayPal or AirTM for weekly payouts. Request payment each Monday for verified work completed in the previous seven days.
Frequently Asked Questions
What is Remotasks and how does it work?
Remotasks is a global crowdsourcing platform where workers complete microtasks like image annotation and audio transcription to train AI models. Owned by Scale AI, it offers flexible remote work with weekly payments. Over 240,000 taskers across 90+ countries earn $5-25/hour based on task complexity and skill level.
How much can you realistically earn on Remotasks?
Earnings range from $5-25 per hour depending on task complexity and worker skill tier. Entry-level tasks start at $5/hour, while trained workers handling advanced projects like semantic segmentation can reach $25/hour. The platform has paid out $15M total, with weekly payouts via PayPal or AirTM.
What kinds of tasks are available on Remotasks?
Tasks include image annotation (bounding boxes, segmentation), audio transcription, and data categorization. Workers start with simple assignments and can progress to complex projects through training. Most tasks feed into machine learning pipelines for clients like Meta and OpenAI, with varying availability throughout the year.
How does Remotasks compare to Amazon Mechanical Turk?
Remotasks offers structured training and skill progression unlike Mechanical Turk's pure marketplace model. While both provide flexible microtasks, Remotasks has Scale AI's enterprise client base but lacks Mechanical Turk's broader task variety. Pay scales similarly, though Remotasks reports more consistent bulk labeling projects.
What are the main drawbacks of working on Remotasks?
Base pay starts below US minimum wage at $5/hour. Workers report abrupt project removals without feedback and slow support during peak periods. The platform lacks advanced annotation tools and benefits, making it better for supplemental income than full-time work in high-cost regions.
Is Remotasks available worldwide and how do payments work?
Yes, Remotasks operates in 90+ countries with major hubs in Kenya, the Philippines, and Venezuela. Payments are processed weekly via PayPal or AirTM based on completed tasks. The platform has paid $15M collectively to date, with no fees for workers to join or withdraw earnings.
Alternatives
How Remotasks compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Remotasks
- Pricing
- Worker earnings scale from $5-25/hour based on task complexity; no fees to join
- Target
- Remotasks is a crowdsourced task platform for AI training data, primarily used by individuals seeking flexible remote work opportunities.
- Strength
- Offers structured skill progression with training courses that unlock higher-paying complex tasks.
- Watch for
- Base pay starts at $5/hour, below living wages in developed markets despite skill requirements.
Amazon Mechanical Turk
- Pricing
- Custom/Contact sales
- Target
- Crowdsourced microtasks
- Deployment
- Cloud
- Strength
- Global workforce scalability
- Watch for
- Closing to new users July 2026
Appen
- Pricing
- Custom/Contact sales
- Target
- Managed data labeling
- Deployment
- Cloud
- Strength
- Multilingual data capabilities
- Watch for
- Slow onboarding for new clients
CloudFactory
- Pricing
- Custom/Contact sales
- Target
- Managed annotation teams
- Deployment
- Cloud
- Strength
- Consistent quality for complex tasks
- Watch for
- Higher cost than crowdsourced options
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Sources
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