Imagery Analyst — Drone & Maritime

Pro Integrate; New York (NY); Remote; USD 41,000 - 83,000; Part time

Job summary

Pro Integrate LLC seeks an Imagery Analyst for drone and maritime imagery labeling. The role is contractor-based, remote within the United States, and may be part-time or full-time. You will review and refine labels generated by machines to ensure accuracy, with attention to detail and adherence to labeling guidelines.

Applicants must be a U.S. citizen with an active CAC. Experience with data labeling is a plus; no AI background required.

Qualifications

• Experience in labeling tasks or annotation is helpful but not required.
• Must be detail oriented and capable of repetitive, precise work.

Responsibilities

• Review machine-generated labels on drone and maritime imagery and correct inaccuracies.
• Label objects consistently following guidelines across images.
• Identify objects the model missed and annotate them.
• Work within a secure Navy environment using provided tools.
• Maintain steady throughput; compensation is per image submitted.
• Flag ambiguous cases to the team to avoid guessing.
• Possibly transition to video frame annotation as projects expand.

Skills

Data labeling

Data annotation

Labeling accuracy

Attention to detail

Tools

Labeling software

Job description

Role Title: Imagery Analyst - Drone & Maritime

Role Type: Contractor - part-time or full-time

Location: Remote, U.S.-based

Required Skills: Data labeling Data annotation Labeling accuracy Attention to detail

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