Imagery Analyst — Drone & Maritime
The middle of its range, $45/hr, is above the $30/hr median of the Data Annotation & Labeling roles open now, whose typical pay runs $15–$100/hr. How that pay moves week by week is in our research on Data Annotation & Labeling work.
Half of all Data Annotation & Labeling roles come down within 18 days of being listed, and 39.3% are still up after four weeks. This one was posted today.
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About the role
Role Title: Imagery Analyst - Drone & Maritime
Role Type: Contractor - part-time or full-time
Location: Remote, U.S.-based
Opportunity Snapshot
Pay: $30 - $60
Volume: Steady throughput expected; you set your own pace
Commitment: Part-time or full-time, your schedule
Location: Remote - U.S. citizens only
You’ll need: U.S. citizenship and an active DoD Common Access Card (CAC)
Your tasks: Review and correct object labels on drone and maritime imagery
micro1 is engaging imagery annotators for a Navy project working with drone and maritime sensor imagery. This role requires an active DoD Common Access Card - if you don’t have one, this project isn’t a fit, but we run other annotation projects without that requirement.
The work is precise and repetitive: you review object labels that a machine generated, fix the ones that are wrong, and add the ones it missed. No AI experience required. What matters is a careful eye and the discipline to stay accurate across long sessions.
What you’ll do
- Review machine-generated bounding boxes on still imagery and correct the ones that are off.
- Find and label objects the model missed.
- Apply the labeling guidelines consistently across every image.
- Work within a secure Navy environment using the provided tools.
- Maintain steady throughput - you’re paid per submitted image.
- Flag ambiguous cases to the team instead of guessing.
- Move into video frame annotation as the project expands.
What we’re looking for
- U.S. citizenship and an active DoD Common Access Card (CAC).
- Strong attention to detail and the patience for repetitive, accuracy-critical work.
- Experience with data labeling or bounding box annotation is a plus, but not required.
- Familiarity with aerial, maritime, satellite, or thermal imagery is a plus.
- Comfortable learning new labeling software.
- Clear written and verbal communication.
How the selection process works
- Apply and complete the screening questions
- Complete the AI interview for this role
- Profile review
- Onboarding - our Talent Ops team will get you set up
Where you can work
This role is 100% remote, for applicants located in United States.
From micro1's job posting, checked 30 Oct 2026.
About micro1
Zara AI-interview vetting, then expert data work at published hourly rates.
How it pays: USD via Deel (bank, PayPal, Wise, Payoneer).
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