$62k-$125k
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Decision details from the source listing
U.S. citizenship is preferred, Ability to obtain a DoD Common Access Card (CAC), or willingness to engage in the CAC sponsorship process
unspecified
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What this posting tells you
Remote U.S.-based contractor role annotating drone and maritime sensor imagery for AI/ML training. Work includes reviewing and correcting machine-generated bounding boxes, identifying missed objects, following labeling guidelines, and maintaining reliable throughput. Compensation is based on each image submission, but no rate or pay range is stated. Part-time and full-time arrangements are available.
Data, Operations, Product, Software
United States
Timezone overlap is not stated.
Unspecified · Contractor · Part-time · Full-time
- Required timezone overlap is not stated
Data 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 —AI/ML Training Data at micro1
Role Title: Imagery Analyst - AI/ML Training Data
Role Type: Contractor — part-time or full-time
Location: Remote, U.S.-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.
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.