Imagery Analyst — Drone & Maritime

Remolity, Inc.; United States; Remote; USD 41,000 - 83,000; Part time

Job summary

Remolity, Inc. is seeking Imagery Analyst — Drone & Maritime, a remote, U.S.-based contractor role focusing on labeling drone and maritime imagery for Navy projects.

You will review machine-generated labels, fix inaccuracies, and add missed objects with a disciplined, accuracy-driven approach. No AI experience required; a CAC is required for this program.

Part-time or full-time contractors work remotely from the U.S.; compensation is per image submitted, at $30–$60 per hour.

Qualifications

• U.S. citizenship and an active DoD CAC.
• Strong attention to detail 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.

Responsibilities

• 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.

Skills

Data labeling

Data annotation

Labeling accuracy

Attention to detail

Job description

Imagery Analyst — Drone & Maritime

Remote, U.S.-based

• Data labeling
• Data annotation
• Labeling accuracy
• Attention to detail

About the role

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.

Scope of Work

• 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 you’ll bring

• 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.

Benefits

Not provided in the source listing.

Schedule and availability

Part-time or full-time contractor.

Contract & Payment Terms

• Compensation is per submitted image; advertised rate USD 30–60/hour.
• 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
• Selection process: Apply and complete the screening questions
• Selection process: Complete the AI interview for this role
• Selection process: Profile review
• Selection process: Onboarding — our Talent Ops team will get you set up

Where you can work

U.S. citizens only; an active DoD Common Access Card (CAC) is required.

This role is open to people based in: US.

Remote does not always mean work from any country. Always check the employer’s location and working-hour requirements.