AI Training Roles

All roles / Generalist

Imagery Analyst - AI/ML Training Data

Location
Remote, US-based.
Pay listed by micro1
$20–60 per hour
Field
Generalist
Type
Remote

Apply links are referral links: free for you, and the site may earn a bonus if you are hired.

Role description

Copied from micro1's job page on 9 October 2026. The live page on micro1 is the one that counts.

Role Title: Imagery Analyst - AI/ML Training Data

Role Type: Contractor (Part-time or Full-time)

Location: Remote, US-based.

micro1 is engaging Imagery Analyst - AI/ML Training Data experts to contribute to a high-impact customer project centered on drone and maritime sensor imagery. 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 refine machine-generated bounding boxes for accuracy on still imagery from drone and maritime sensors.
  • Identify and annotate objects missed by AI models.
  • Label data maintaining consistency and adherence to provided guidelines.
  • Deliver completed annotated images within a secure Navy environment
  • Maintain steady, reliable throughput of completed images; compensation is based on each image submission.
  • Transition to annotation of video frames as the project evolves and expands in scope.
  • Document and communicate any ambiguous cases or guideline questions clearly, demonstrating strong written and verbal skills.

Preferred Qualifications

  • U.S. citizenship and ability to obtain a DoD Common Access Card (CAC) or willingness to engage in the sponsorship process.
  • Demonstrated attention to detail and consistency performing repetitive, accuracy-critical tasks.
  • Experience with data labeling, bounding box annotation, or similar data-preparation activities.
  • Familiarity with aerial, maritime, or sensor-based imagery, especially in daylight and thermal formats.
  • Track record in high-volume, quality-controlled annotation environments (robotics or autonomous system data-labeling experience is a plus).
  • Comfort using dedicated software tools for labeling tasks, with a willingness to learn new applications.
  • Strong written and verbal communication skills for reporting and clarifying labeling requirements.

More Generalist roles