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Generalist micro1

Data Annotator - Video Content

Micro1 Remote

Education

Any

Type

hourly

Pay Rate (by country)

$10–$12/hr

Actively Hiring

20 openings

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Micro1: our referral track record

We've referred 735 candidates to Micro1 roles. 1% (8) were placed.

What We Know About This Role

Start timeline
Starts within ~4 hrs of onboarding

About this Role

From the Micro1 listing

Role Title: Data Labeling Associate - Video Content Role Type: Contractor Location: Remote, worldwide micro1 is engaging Data Labeling Associate - Video Content experts to contribute to a high-impact project for a valued customer. 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.

Scope of Work

  • Review and annotate short first-person POV videos depicting household tasks, focusing on precise and consistent labeling.
  • Identify and mark hamper position as left or right of the person for each video segment.
  • Determine and tag the exact start and end frames for each pick-and-place movement within the video.
  • Assign and record which of the seven numbered piles each clothing item is placed into.
  • Adhere strictly to detailed annotation guidelines provided during onboarding and throughout the engagement.
  • Maintain high quality and consistency across multiple videos within each session, ensuring accurate, actionable data for AI training.
  • Flag ambiguous, unclear, or unusual cases for further review in accordance with project standards.

Preferred Qualifications

  • Exceptional visual discrimination skills and a keen eye for subtle details and frame-level changes.
  • Proven ability to follow complex instructions with precision and incorporate feedback promptly.
  • Experience with web-based video tools, such as playback controls, frame stepping, and timestamp-based interfaces.
  • Strong focus and consistency in performing repetitive, detail-oriented tasks across multiple assignments.
  • Reliable high-speed internet connection and a computer suitable for smooth video playback.

Nice to Have (but not required)

  • Prior experience in video annotation, data labeling, transcription, content moderation, or QA work
  • Familiarity with any annotation platform (CVAT, Labelbox, Scale, V7, Encord, or similar)
  • Background in roles requiring sustained attention to repetitive detail.

Start Timeline & Availability

We typically fill roles within 48 hours, so we're looking for teammates ready to jump in. If selected, we'd love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.

Requirements

  • Visual Discrimination
  • Process Adherence
  • Written Clarity
  • Attention to Detail
  • Must be eligible to work in Remote

Why This Role

No office, no fixed hours, no relocation. This Data Annotator - Video Content role pays $11/hr fully remote, giving you access to Generalist work that would otherwise be limited to a handful of major cities.

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 Generalist work look like for a Data Annotator - Video Content?

Tasks here are scoped to Generalist, not generic labeling. As a Data Annotator - Video Content, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Generalist) rather than following a one-size-fits-all rubric. If you don't have hands-on Generalist 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, 20 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.