WFH.teamOpen app$62k-$125k
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Decision details from the source listing
U.S. citizenship, Active DoD Common Access Card (CAC)
flexible
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What this posting tells you
Remote U.S.-based contractor role reviewing and correcting machine-generated labels on drone and maritime imagery. Part-time or full-time work is available at a self-set pace. The listing gives pay as $30–$60 and says payment is per submitted image, but does not specify the unit for the stated range.
Customer success, Data, Operations, Product, Software
United States
Timezone overlap is not stated.
Unspecified · Contractor · Part-time · Full-time
- Required timezone overlap is not stated
Customer success hiring on WFH.team
This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketImagery Analyst — Drone & Maritime at micro1
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
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.