Data Annotation Generalist
Micro1 • Remote
Education
Any
Type
hourly
Pay Rate
$20/hr
Actively Hiring
600 openings
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About this Role
From the Micro1 listing
Job Title: Data Annotation Generalist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities
- Label, categorize, and annotate diverse datasets with consistency and precision, ensuring adherence to project guidelines and quality standards.
- Review, validate, and correct data annotations to maintain the highest levels of data integrity.
- Collaborate closely with the customer's team to clarify requirements and resolve ambiguities in data labeling tasks.
- Document annotation processes and maintain clear records to support project transparency.
- Provide feedback to optimize annotation tools, workflows, and guidelines as projects evolve.
- Communicate effectively through written and verbal channels to share insights, raise issues, and recommend improvements.
- Adapt to new annotation projects, data types, and evolving instructions as the customer’s needs change.
Required Skills and Qualifications
- Expert-level proficiency in data annotation, labeling, or data preparation for machine learning applications.
- Exceptional attention to detail and a commitment to delivering accurate, high-quality work.
- Outstanding written and verbal communication skills, with a focus on clarity and collaboration.
- Ability to interpret complex instructions and apply them consistently across large datasets.
- Comfort working independently in a remote environment, managing time and priorities effectively.
- Experience with annotation tools or platforms commonly used in data science or AI development.
- Strong analytical skills and a problem-solving mindset.
Preferred Qualifications
- Background in linguistics, computer science, data science, or a related field.
- Previous experience contributing to AI training or natural language processing projects.
- Familiarity with multiple data modalities, such as text, image, audio, or video annotation.
Requirements
- attention to detail
- data annotation
- Must be eligible to work in Remote
Key Responsibilities
- Label, categorize, and annotate diverse datasets with consistency and precision, ensuring adherence to project guidelines and quality standards.
- Review, validate, and correct data annotations to maintain the highest levels of data integrity.
- Collaborate closely with the customer's team to clarify requirements and resolve ambiguities in data labeling tasks.
- Document annotation processes and maintain clear records to support project transparency.
Why This Role
Work from anywhere, at any time. This fully remote Data Annotation Generalist position ($20/hr) breaks down geographic barriers, allowing you to earn US-competitive rates regardless of your local market. It is a perfect stepping stone for building a career in the Data Science ecosystem.
Skills & Categories
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Frequently Asked Questions
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
Does Micro1 monitor your computer while you work?
On many projects, yes, through time-tracking tools that take periodic screenshots to verify active hours. Check the specific project's requirements before accepting if desktop monitoring is a dealbreaker.
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
What does task-based AI training work actually look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Data Science work look like for a Data Annotation Generalist?
Tasks here are scoped to Data Science, not generic labeling. As a Data Annotation Generalist, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Data Science) rather than following a one-size-fits-all rubric. If you don't have hands-on Data Science background, this is likely not the right listing to start with.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 600 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
What happens when I click Apply on this listing?
You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.